DEV Community: JudoCoder

8 Types of Data Structures for Beginners

JudoCoder — Mon, 13 Dec 2021 23:06:02 +0000

Data Structures and Algorithms are a very important topic for every beginner programmer to learn about.

Data structures and algorithms are two terms that are often mentioned in the same sentence. In a data structure, you will find the different types of data, such as arrays, linked lists, queues, stacks, and trees. What exactly are they? How do they work? How can you use them to solve real-world problems?

To answer these questions, this article will provide 8 types of data structures and algorithms that you might encounter in your everyday life. The article starts by giving the basics for each data structure or algorithm before explaining its function. As an example for each type of data structure or algorithm, we’ve included a brief case study where it has been used.

What is a Data Structure?

A data structure is a way to organize and manage data. Data structures can be implemented in many different programming languages, but they typically have four main components.

The first component of a data structure is the "struct." The struct is what holds all of the data for your data structure. This "struct" part also often refers to functions that are used to manipulate the data being stored in the struct.

The second component of a data structure is "pointers." Pointers are variables that reference other variables. For example, you could use pointers to point to a person's name or their address.

In some languages, you might even be able to pass a pointer as an argument when calling a function.

The third component of a data structure is "memory allocation." Memory allocation helps you allocate memory for the struct and any variables that it stores values into. It ensures that your program doesn't run out of memory while performing tasks.

Finally, the last component of a data structure is "algorithms." Algorithms are functions that are applied to your struct or any variables stored within that struct. They help your program perform tasks like search or sorting through your struct's values more efficiently than without them.

Types of Data Structures

While there are numerous types of data structures, we here are only covering eight types of data structures: arrays, linked lists, stacks, queues, binary trees, sets/bags, graphs and hash tables. Below we give a brief explanation of how each of them work with some examples of each type.

Arrays

Arrays can be an effective way to organize a list of data. To use an array, start by naming your array and assigning values to each index in the array. Arrays are often used for storing lists as well as individual data items such as letters in a word game.

Linked Lists

Linked lists are a data structure that uses two pointers and an ordering number, which is typically represented as a string of characters. The first pointer is called the head and the second pointer is called the tail. This type of data structure can also be implemented with just one pointer.

Linked lists are used for storing and organizing any type of data, including strings, integers, or even other linked lists. They're useful because they can be accessed from anywhere within the list without need for searching. Additionally, they're easy to add items to and remove items from the list because objects only need to be added at one end and removed at the other.

Some examples of use include building a queue, implementing a stack, or linking together large amounts of related data structures in order to create a graph.

Stacks

A stack is a data structure where objects are pushed on the back and popped off the front. This means that each time an object is added to or removed from the stack, the entire stack must be shifted. A stack is typically represented as an array of pointers.

Stacks can be implemented with any language but most commonly use underlying LIFO (last-in, first-out) representations where the last object pushed onto the stack is the first object popped off of it.

One common use for stacks is in algorithms that retrieve items from a series of lists based on their index number. For example:

class Stack { 
public: 
 function Stack() { } // Constructor 
 void remove(int i) { int k = curr[i]; delete curr[i]; return k; } // Removes and returns a value from this stack 
 void push(int i, int j) { curr[i] = j; } // Inserts an item into this stack 
}

// To remove a value at position position in stack stk1:
stk1.remove(99);

Queues

A queue is a data structure that can be used for storing and retrieving elements in first-in-first-out order. Queues are often used to store information that has a limited, fixed size and allows accessing any element without having to search through the entire list. For example, there might be a queue of people who have reserved tables at your local restaurant.

Each person's reservation is placed in the queue with their name and time until their reservation starts. When someone arrives at the restaurant, they check in at the front desk. The person who checked in last will likely have their table waiting for them while those waiting will get added to the back of the list as they continue checking in.

Queues are typically implemented using linked lists or arrays. To implement queues with linked lists, we would use a doubly linked list where each node stores two pointers: one pointing to the next node and one pointing to the element stored at that node (or NULL if it is empty). This implementation has advantages over arrays because it prevents singly or doubly linked nodes from becoming duplicated or lost when inserting or removing items from the queue.

Binary Trees

A binary tree is a data structure made up of nodes with two child nodes, each of which may have one or more children. It's a type of hierarchical data structure.

Binary trees are used in various ways: they are the building blocks for linked lists, the storage format for sets and bags, and they can be used in graphs and hash tables too, among other things. A binary tree can also be simulated with stacks, queues and arrays.

Sets

In a set, you have an explicit list of the values that are in it. In a set, you can add or remove any value to or from the data structure without affecting the other values in it.

A set is used to store unique items--anything that doesn't already exist in a set is considered logically "unique." This is often used for things like passwords, where one password per user would be stored as a set.

Graphs

Graphs are an excellent data structure for representing networks. They're used in many fields, such as social science, to represent relationships between people, objects and events. For example, a graph could be created to represent your Facebook friends and their relationship status to you.

A node is the main point of interest in a graph while edges are the connections between nodes. Nodes are usually represented by points in a two dimensional plane while edges may have one or more vertices connecting them to other nodes. In order to make graphs easy to read and understand, the nodes usually have names that describe the types of relationships they have with the other nodes in the graph.

The eight basic types of graphs are: undirected graphs (simple), directed graphs (simple), weighted graphs, sparse graph, dynamic graph (diameter), directed acyclic graph (directed simple) and hypergraph.

Hash Tables

A hash table is a data structure that maps a key to a value. The map is called a hash function, and the map data structure is called a hash table. We use this data structure when we need to quickly find an item in our list or set.

In computer programming, we use hash tables to store associations between keys and values. A common example of its usage can be found in the command line interface in Linux or Mac OS X when we see "hash:" before the item name.

Those two examples mentioned above are just some examples of how you might use a hash table; there are many other uses as well.

Like arrays, hash tables allow for quick lookups by key. Hash table has a constant-time lookup O(1) in the best case scenario and O(N) lookup in the worst case scenario (such as when there are collisions in the list)

Conclusion

While there are many types of data structures, these are the most used/common ones that you will find being used everywhere in your everyday life. We intend this article to serve as an introduction to data structures that you can use to build your knowledge upon.

Knowledge of data structures is important because it allows you to build complex applications and you will be asked about them in your technical interview.

The good news is, JudoCoder.com provides handpicked selection of all sorts of data structures and algorithm questions, most of these questions have been asked in a real interview!.

I would suggest you create a free account at judocoder.com and start practicing your skills. You will be prepared in no time!..

No matter what you do, make sure you practice! You'll be happy you did when it's time for your interview.

How To Get a Job in Silicon Valley: The Complete Guide for Job Seekers

JudoCoder — Sun, 12 Dec 2021 22:32:11 +0000

Silicon Valley has become a mecca for technology and innovation. It is home to some of the most iconic companies, like Google, Facebook, and Apple. And it’s also one of the most competitive job markets in the world. In order to get a job in Silicon Valley, here are some tips that will help you land your dream position.

Join the right communities
Apply for positions that match your skills
Get referrals from people you know or former employers
Determine which companies are hiring in your field
Prepare for interviews by practicing questions and answers.

The importance of community

The tech industry relies on innovation, so you need to be able to network. Join the right communities and connect with other people in your field. This will not only help you find new opportunities, but it will also allow you to network with the right people who can get your foot in the door.

You'll want to keep up with events, conferences, and job postings that are relevant to your current career. This is how you'll find out about companies that are hiring or positions that match your skills. You should also build a career portfolio and share it with anyone else who might be helpful for your job search or as a reference.

How to join the right communities

It can be difficult to find the right communities for you in Silicon Valley. The most important thing to do is to choose a community that shares your values and aligns with your interests.

Join groups related to your career aspirations, like the Women Who Code group. You might also want to consider joining groups that share a similar passion, such as the Apple Developers Group or the Google Developers Group.

Another great option is joining a Meetup group in Silicon Valley. These meetups are led by locals who will help you learn about Silicon Valley, connect with other members of the community, and share new opportunities for networking.

Once you have joined these communities, it's time to become active! Start attending events and conferences that happen in your area of interest and share what you learn with others in your network.

The Four C's of Getting a Job in Silicon Valley

The first step to getting a job in Silicon Valley is to join the right communities. In order to do this, you need to determine which are relevant. The most popular communities among tech professionals in Silicon Valley include:

a) LinkedIn
b) Facebook Groups
c) Hacker News
d) Slack Community

Getting referrals from friends and former employers

One of the best ways to get a job in Silicon Valley is through referrals. The more people who know you and have worked with you before, the better your chances are of landing the job of your dreams.

But getting referrals can be tough. So how do you get started?

Here are some tips that will help you get started:

Start by looking at companies in your field and writing down a list of their names
Start reaching out to people on your list via email or social media
If they haven't heard from you after a few weeks, follow up with email
If they still haven't responded, send an email to one of the company's executives or HR departments
As soon as someone responds, extend your hand even more
Make sure to follow up regularly with emails that show your interest in the position

Practicing for interviews

It can be difficult to prepare for an interview when you don't know which companies are hiring in your field. To find out, go on Glassdoor and search for the company you're interested in interviewing with.

You can also try using LinkedIn to determine where people in your field are working. You can also try searching the company's website or Google if they have a blog or other form of communication. Another way to get a sense of what companies are hiring is by seeing who has posted job listings on Indeed. By looking at these postings, you'll get a better idea about what companies are recruiting for what positions.

When it comes to practice interviews, it's important that you have your answer ready before walking into the room. Practice questions will help you prepare for tough interview questions and make sure you have everything under control before getting started with more difficult ones.

If you are more interested in learning how you can prepare for a technical interview, check out following guide:

Preparing for a Technical Programming Interview: The Ultimate Guide

JudoCoder ・ Nov 26 ・ 4 min read

#career #beginners #todayilearned

The Four D's of Getting a Job in Silicon Valley

Do your research - Find out what companies are hiring in your field and determine which one is the best fit for you
Doggy-bag all the jobs - Apply to as many positions as possible, but be sure the job is a good fit
Determine which companies are likely to hire you
Do your homework - Prepare for interviews and practice questions and answers

Conclusion

Whether you are looking to start a career or change jobs, you should consider making Silicon Valley your next destination. Not only is Silicon Valley one of the most innovative regions in the world, but it also offers a wide range of opportunities.

But finding a job in Silicon Valley can prove to be challenging.

There are many ways of getting a job, so it’s important to know what’s available and how to get one. Silicon Valley offers a variety of career options, so it’s helpful to explore what kind of work you might be interested in before moving to the area.

The good news is, JudoCoder.com provides handpicked selection of all sorts of data structures and algorithm questions, most of these questions have been asked in a real interview!.

I would suggest you create a free account at judocoder.com and start practicing your skills. You will be prepared in no time!..

No matter what you do, make sure you practice! You'll be happy you did when it's time for your interview.

Where Do Developers Get Paid the Most?

JudoCoder — Sun, 12 Dec 2021 21:38:00 +0000

As a developer, you have options when it comes to choosing your job. There is no one place that has the best pay rates or the best perks – there are many factors that go into determining which job will work best for you. However, there is some truth to the saying “you get what you pay for.” This means that if you want to earn more money and make a better living, then you should probably choose a high-paying job in a popular city like New York or San Francisco. On the other hand, if your ultimate goal is to live somewhere where it's easier to find work and people are less likely to judge you on your career choice, then maybe consider working at a smaller company in a less metropolitan area like Austin or San Diego.

No matter what kind of developer you are – whether you're just starting out or already in your career – here are the highest paying places for developers from across the country.

The Highest Paying States for Developers

What follows is a list of the top 10 states that pay the highest salaries for software developers.

New York City – $113,200
San Francisco – $104,560
Seattle – $94,400
Boston – $89,800
Chicago – $88,500
Philadelphia – $86,100
Washington DC – $84,000
Los Angeles – $83,900
Denver -$82,400

What are the different ways developers can be paid?

An employee with a regular job can also be paid hourly or on a salary. But not all developers are employees, so it's important to understand where they are being paid.

Companies often pay developers based on the work they're doing or how long they've been working for them. The majority of developers work at least part-time for their employers, meaning that these developers are making less than the average wage in their industry.

Some companies have set up their own internal "salary" system and allow developers to earn more than an average wage, but this is not always the case. On the other hand, some employers pay all new hires below the average wage until they prove themselves as valuable members of team.

Developers are one of the most highly paid jobs in the business. In fact, they're so highly paid that they can command an hourly rate of $175 plus (or more), with a minimum of $40 per hour.

As a developer, you'll be doing tasks like coding and designing, which will require a lot of time and effort. It's important to recognize that because your work experience is based on how much time you put into projects, it's important not to get too comfortable with your current rate.

Many developers start out as entry-level positions but then move up to senior roles within their company or take on additional responsibilities. If you have good skills, you may be able to move up quickly. Otherwise, it may be worth waiting for a higher-paying position in your field.

How do developers make a living?

Developers can earn a living by working on large projects or building software for small companies. There's a job market for developers—for large companies and startup founders, it's especially important to find talent.

Developers have a variety of potential employers. You can find them working in tech startups, large corporations, government agencies, education institutions, and more. They may also work for themselves.

Where is the highest paying market for developers?

In the U.S., developers are paid the most in Seattle, Washington. Developers there average $100,000 a year or more.

This is because of the higher salaries and better opportunities available to developers in Seattle. In fact, developers there make nearly 10 percent more than the national average for programmers and software developers.

Conclusion

The tech industry is booming and pays well. It's also a hub for innovation and entrepreneurship. If you're considering the tech industry, you should know that there are many ways to make good money in this field, especially if you work for one of the companies listed above.

You can make anywhere from $80,000 to $180,000 in the tech industry even if you are just starting out (and not to mention the perks and stock options that come along with it!).

So if you are interested in working at top tech, make sure you are prepared for a technical interview.

The good news is, JudoCoder.com provides handpicked selection of all sorts of data structures and algorithm questions, most of these questions have been asked in a real interview!.

I would suggest you create a free account at judocoder.com and start practicing your skills. You will be prepared in no time!..

No matter what you do, make sure you practice! You'll be happy you did when it's time for your interview.

Let me know what do you think? Is this an accurate representation of what you can expect to make at top tech companies? Let me know your comments. I would love to hear what you have to say!

The Simplest Way to Solve Algorithm Questions in an Interview

JudoCoder — Fri, 10 Dec 2021 16:56:44 +0000

Job interviews are tough for many reasons. It's intimidating to be in front of a table full of people, and it can be difficult to give the best impression when you're asked technical questions. However, there are ways to prepare for these types of interviews. One tactic is to have a strategy for an algorithm question.

Algorithms are the backbone of any programming language, so being able to answer these questions confidently can set you apart from other candidates.

This blog will teach you how to solve algorithmic questions in an interview with ease.

What is an algorithm?

An algorithm is the core building block of any programming language. It's what makes the code capable of doing anything. Algorithms are used to solve problems in many different areas, from computing power to financial trading.

For example, when you log into a website, your computer will use an algorithm to calculate a page's relevance. The result is then sent back to your computer and displayed in a way that will help you find the information you're looking for.

The same is true for many other things like web search engine ranking and purchasing decisions—algorithms are what make these elements possible.

The best way to prepare for an interview with algorithmic questions

Many job seekers struggle when it comes to the technical questions asked by employers during job interviews. These questions can be difficult to answer in a short amount of time, especially if you don't have a strategy for them.

There are a number of strategies to prepare for algorithm questions:

Read Books on Algorithms (such as Algorithms (4th edition) on Amazon)
Take an online Algorithms Course (such as this one on Udemy)
Practice with Mock Interviews (with tools such as Pramp)
Practice by actually solving Algorithm questions (check out JudoCoder.com)

Types of Algorithms

There are many different types of algorithms, but some of the most common are Recursion and Backtracking, Greedy Algorithms, and Dynamic Programming.

Recursion and Backtracking

What is recursion?

Recursion is a technique for solving a problem by dividing it into smaller, similar problems and solving the simpler problems first. This type of strategy is sometimes called divide and conquer. Recursive methods can be applied to many different types of problems, such as finding the maximum depth of a tree or finding an optimum solution to a linear system of equations.

What is backtracking?

Backtracking is the process of systematically searching through all possible solutions that might exist for a particular problem in order to find one that satisfies some desired criteria. Backtrack search algorithms are often used in artificial intelligence applications, such as theorem proving and game playing. For example, backtracking is used in constraint satisfaction algorithms to determine if there are any consistent sets of constraints given.

If you want to practice Recursion and Backtracking algorithms, check out following questions:
Recursion and Backtracking algorithms practice questions

Greedy Algorithms

When you have a list of items to choose from and one of them is more desirable than the others, you can use the greedy method to find the optimal solution. Greedy methods work by selecting one item at a time, checking if it is more desirable than any other item, and then moving on to the next item.

The greedy method works best when your objective is to select the most beneficial action for your system. It is especially useful when there are multiple options because it doesn't require analyzing each option as much.

To solve a greedy algorithm, take all possible combinations of items and let them run through their steps until they reach their final result. After that, check which item was selected with the most favorable result and act accordingly.

If you want to practice Greedy algorithms, check out following questions:
Greedy Algorithms Practice Questions

Dynamic Programming

Dynamic programming is a computational method that solves problems by breaking them into smaller sub-problems, each of which can be easily solved.

The algorithm stores the solutions to the sub-problems in order to create an optimal solution to the original problem. This is great because it can help you find an answer to a difficult problem with ease. Additionally, it’s called dynamic programming because the program needs to keep track of how far it has come in solving the problem and what choices it has made so far. Dynamic programming is based on optimal substructure, meaning that if one part of the final answer depends on another part of the final answer then they should be computed at the same time (together).

If you want to practice Dynamic Programming algorithms, check out following questions:
Dynamic Programming Practice Questions

What Data structures and Algorithms to practice?

If you are asking yourself this question then check out our following guide:

What Data Structures and Algorithms to Practice if You Want to Get a Job at Top Tech Companies

JudoCoder ・ Dec 4 ・ 5 min read

#beginners #codenewbie #career #programming

Conclusion

An algorithm is the core building block of any programming language. It's what makes the code capable of doing anything.

The good news is, JudoCoder.com provides handpicked selection of all sorts of data structures and algorithm questions, most of these questions have been asked in a real interview!.

I would suggest you create a free account at judocoder.com and start practicing your skills. You will be prepared in no time!..

How To Get A Job at Google: What You Need to Know

JudoCoder — Wed, 08 Dec 2021 15:25:12 +0000

If you’re reading this, chances are you're wondering what it takes to get a job at Google. You’ve probably heard that the best and brightest go to work there and that they have some of the most innovative and groundbreaking technologies in the world. You might even be thinking about how great it would be to work on some of these projects with your friends every day. But what does it take to get a job at Google?

In this post, we’ll tell you everything you need to know about how to land a job with Google. We'll walk you through all the steps from getting your degree, landing internships, and applying for jobs with them once you graduate. So read on for everything you need to know about becoming a Googler!

Why Google?

Google has been one of the most popular search engines for over a decade. In recent years, the company has expanded its services to include YouTube, Google Plus, and Gmail. But why does Google have such a strong presence in the industry?

Google employees enjoy some of the best benefits in Silicon Valley. They offer on-site health care, free lunch and dinner, and on-site laundry service. Plus, employees get to take advantage of fun perks like free massages and haircuts.

Google also offers an innovative work environment that encourages creativity among their employees. Employees are encouraged to spend 20% of their time working on personal projects related to what they do at work or something new entirely. This policy encourages innovation and creativity within Google’s workforce which is known as "20% time."

Where does Google find great talent?

There are several sources for finding the best talent at Google. One of them is through internships.

Internships are great because they give you the opportunity to make a name for yourself in your field, while also getting a feel for what it's like to work at Google. And if you’re not ready to make a decision about where you want to work after college, an internship will help you explore your options.

Internships are available with most departments at Google, including Engineering, Sales & Operations, Finance, Marketing, Public Policy, and Legal. If you're interested in seeing if there's an internship available that matches your interests or background, head over to our Find an Internship page!

Check out Google's careers page and enter information on your location and major then browse around for opportunities in your area!

How to land an interview at Google

You might be surprised to hear that not everyone who works for Google went to a top-tier college or worked their way up to the company after years of hard work. The truth is, there are many paths that can lead you to a job at Google.

Many people have been able to get a job with Google just by being themselves and showing how passionate they are about what they do.

So, how do you land that coveted job with Google? Well, you’ll need to show them why you’re the best person for the job. And the best way to do that is by following these five steps:

Create a resume or CV
Build your online presence
Network with people in the industry
Attend career fairs
Consider internships

We have written a complete guide on that topic. Read here:

How to Land an Interview at Google (and Other Top Tech Companies)

JudoCoder ・ Dec 2 '21

#career #programming #beginners #codenewbie

Qualities of an ideal candidate

To get a job at Google, you need to be more than just qualified. You need to be the best candidate for the position and embody their values.

Google is looking for candidates who demonstrate key qualities like creativity, empathy, grit, and intelligence. These are all qualities that they look for in new Googlers and it’s what sets them apart from other companies.

A person with these qualities will understand how their work affects people's lives and can solve problems in a creative way. They also have a relentless passion for their work and will refuse to give up even when faced with challenges. And of course they have an IQ that is off the charts!

In order to show Google your skills, they'll want to see your previous experience with these traits, so make sure you mention them on your resume or in any interviews you do.

Where to start your journey to get a job at Google

If you’ve never had an internship or job with Google before, the first step is to get your degree. You can do this online or by getting hands on experience in the field. If you're not sure what degree to pursue, there are many great programs out there that will help you find what you're passionate about, like computer science or engineering.

After that, it's time to start doing internships. This way, prospective employers will know that you have the knowledge they need and are familiar with Google's work culture. There are plenty of opportunities for internships at Google, so make sure to apply for as many as possible!

And after your internship? It's time to start applying for jobs at Google. But not everyone can just walk in and start working for them! That's why before you apply, it'll be important to show off your skills with a project or two that pertain to the position you want.

Get your degree

If you do not have a degree, then you should read our following guide instead:

What You Need To Know About Landing A Job At Google Without A Computer Science Degree

JudoCoder ・ Nov 30 '21

#beginners #career #programming #codenewbie

The first step of landing a job with Google is getting your degree. This might sound like the most obvious step, but it's an important one.

You can get a degree in almost anything, including computer science, engineering, or even something like neuroscience. You'll want to choose your major based on what you're interested in and what field you know you want to grow in.

Once you've decided on your major, it's time to start thinking about how to get good grades while taking on all the Google-related extracurriculars that are available.

Think about joining clubs or organizations related to the work you're interested in, attending seminars and conferences related to what you're studying, and researching internships while still in school so that when graduation rolls around there will be more opportunities open up for you!

Get an internship

If you're in college and want to work at Google, you should start by getting an internship with them. Internships are a great way to learn about the company and get your foot in the door.

Google typically has six different internship programs:

Engineering and Operations
Finance and Strategy
Business Development and User Services
Internationalization Services
Partnerships
Webmaster Tools Quality Assurance

Here, we'll focus on just one of these internships: the Engineering and Operations program. In this program, interns will spend two or three months working with engineers on a variety of projects throughout the organization. These interns will have excellent opportunities to talk with engineers who work on some of Google's most innovative projects. They can also be involved in brainstorming sessions for new products!

Apply for jobs with them after you graduate.

The first and most important step in getting a job at Google is to apply for them after you graduate. You can do this by visiting their website and looking through the available jobs.

You don't need to apply to every position that's open, just the ones you're interested in. After you submit your application, it will be screened by a human resource specialist who might ask you some questions about your qualifications and why you want to work there.

If they like what they see, they'll pass it on to an Hiring Manager who will also review your application. This process might take a few weeks, so make sure you're up-to-date with everything before applying!

Applications for full-time positions are accepted from September 1st until the end of October each year. If there's no position that fits what you're looking for, keep checking back or emailing them because they often post new positions leading up to the deadline!

Conclusion

You can make anywhere from $80,000 to $180,000 in the tech industry even if you are just starting out (and not to mention the perks and stock options that come along with it!).

So if you are interested in working at top tech, make sure you are prepared for a technical interview.

The good news is, JudoCoder.com provides handpicked selection of all sorts of data structures and algorithm questions, most of these questions have been asked in a real interview!.

I would suggest you create a free account at judocoder.com and start practicing your skills. You will be prepared in no time!..

No matter what you do, make sure you practice! You'll be happy you did when it's time for your interview.

The Ultimate Guide to Negotiating Your Software Engineering Salary

JudoCoder — Tue, 07 Dec 2021 18:52:19 +0000

Whether you are a fresh college graduate or an experienced software engineer, negotiating your salary can be a daunting task.

It’s hard to know how much we should ask for and if we should even negotiate at all. This article will help you understand the process and teach you some negotiation tactics that will help you earn more money.

Negotiation is an opportunity to leverage your skills, abilities, and experience to get what you deserve. It’s also not just about the money! Negotiating provides the opportunity to work with your employer on other terms that are important to both parties - like flexible work hours or benefits.

When Should You Negotiate Your Salary?

Here are a few scenarios when you should consider negotiating:

When you know your value
When you want something that can be negotiated
When you have a shiny new skill or certification
When you have more experience than any person in your company
When someone in your office negotiates with an outside company and they’re getting a better offer
But when is it time to just leave it at what we've been offered? * When you’ve spent years working for one company and feel like the salary offer is fair. If that doesn't fit into this pattern, then maybe it's time for a change.

What Salary Should You Ask For?

Before you start negotiating, you need to figure out what is a fair amount for your skills, experience, and abilities. Using the salary calculator can help you figure this out.

Asking for too much or too little will make the negotiation process difficult. Be sure to ask for a range of salaries that you are willing to work with so that your employer can be confident in negotiating with you.

There are different types of negotiation styles, which include:

aggressive
passive aggressive
and collaborative.

These styles will dictate how successful your negotiations will be - aggressive negotiation tends to lead to conflict whereas collaborative negotiation typically leads to compromise.

What To Say, What To Write

Asking for a pay raise can seem intimidating since you're putting yourself out there and asking for something that is rightfully not yours. But, remember: negotiating your salary is an opportunity to ask for what you want.

Here are some tips to help you prepare for your negotiation:
Be prepared in advance. Have a list of questions ready in case the discussion goes south. You can also come up with a list of "deal breakers" that are non-negotiable.

Know your worth. It's important to know what you bring to the table in comparison to other people in similar positions at your company. The easiest way to determine this is by comparing salaries on sites like Payscale or Glassdoor

Use these tactics and be confident! Negotiating is one way that we gain power over our work environment and financial situation - so don't be afraid to put yourself out there!

To get an idea of how much do software developers make in tech read our guide

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How To Pitch Yourself

What does your company want? What is the company looking for in a candidate?

The company wants someone who can think on their feet and solve problems without thinking about anything else, who is passionate about what they do, and knows how to take initiative.

What skills, abilities, and experience do you have that meet these requirements?

You have a computer science degree from a top university with an internship at one of the leading tech companies in the world under your belt. You are also someone who takes initiative and solves problems quickly. You know how to be assertive without being aggressive and you're able to think outside the box when necessary to find solutions.

This is just one example of what you might say during your first meeting with the recruiter or hiring manager. In general, be prepared to share examples of past projects that illustrate your skillset and demonstrate your ability to work independently.

Negotiating Non-Monetary Terms

You have to be smart about how you ask for a raise. The best way to start is by asking your boss what her budget is. This will give you some idea of where your salary falls in the existing range and how much room there is for negotiation.

Then, you'll want to focus on a few key points that are important to you and your employer so that you can get them on the same page:

• How much money do I need?
• How much time do I want to spend at work each week?
• What do I want my working hours to be like?
• What are my responsibilities?

These are things that should be worked out before you negotiate anything else. Once they're settled, it's easy to make an offer that will suit both parties (and may even put pressure on your boss!).

Flexible work hours

A flexible work schedule allows you to take time off and work when you want, allowing you to be more efficient in your work. You may not be able to negotiate this, but if you are passionate about a particular project that your company is working on, ask for additional time or flexibility to work on it. If you don't ask for it, it might never happen!

Year-End Bonus

Most companies have a yearly bonus process. This provides a great opportunity to ask for more money while also getting something that you want in return.

Your company might also offer a year-end bonus as part of its benefits package. These usually come in the form of stock options or a cash gift, and you should take advantage of these opportunities if they're presented to you.

Benefits

Negotiation is not just about money! It's about working with your employer to get what you deserve.

Benefits are often the most important part of every negotiation.

Your employer wants to know if you're going to be a team player and contribute towards the success of their business. When negotiating, make sure that you can offer your employer benefits.

If your goal is to work for a company with flexible work hours or benefits, negotiate those terms into your salary.

Company Culture & Environment

At the end of the day, companies want to attract talented individuals who will help drive their company's success.
Negotiating with a company is an opportunity for you to demonstrate how valuable you are and what your skills can do for them. You don't want to simply ask for a higher salary - that won't get you what you want. Instead, negotiate for something else. For instance, maybe you want more flexibility in your work schedule or more vacation days.

Another thing to consider when negotiating is the company culture and environment. If you're happy at your current job and would like to stay there, make sure you negotiate on terms that are best for your individual situation.

Conclusion

Don't worry if you don't have the skills or experience to negotiate your salary. Follow this guide and you'll be on your way to negotiating a higher salary.

You can make anywhere from $80,000 to $180,000 in the tech industry even if you are just starting out (and not to mention the perks and stock options that come along with it!).

So if you are interested in working at top tech, make sure you are prepared for a technical interview.

The good news is, JudoCoder.com provides handpicked selection of all sorts of data structures and algorithm questions, most of these questions have been asked in a real interview!.

I would suggest you create a free account at judocoder.com and start practicing your skills. You will be prepared in no time!..

No matter what you do, make sure you practice! You'll be happy you did when it's time for your interview.

What Should I Learn First: Algorithms or Data Structures?

JudoCoder — Mon, 06 Dec 2021 19:33:39 +0000

So many people are trying to learn computer programming nowadays. It's easy to become overwhelmed with the sheer amount of things to learn. So, should you learn algorithms first or data structures first?

This blog will answer this question for you! We'll go over what these two concepts are, how they're related, and which courses are best for beginners. After reading this blog post, you'll have a better idea of what it is you should be learning!

What is an Algorithm?

An algorithm is a step-by-step set of instructions that tells someone how to solve a problem, usually involving a sequence of mathematical calculations. Algorithms are used in software engineering and computer science to solve problems that are difficult for humans to do by hand.

For example, an algorithm for generating prime numbers is as follows:
1) For any number, check if it's divisible by 2 or 3. If it's divisible by 2 or 3, then stop.
2) If it's not divisible by 2 or 3, then subtract the number from itself until it's divisible by 2 or 3.
3) Keep doing this until you find a value greater than 1 that has no remainder when subtracted from the given number. This is the next prime number and can be found at step 1!

What is a Data Structure?

A data structure is any method that's designed to organize information in an efficient, understandable way. Data structures are important because they allow you to store and manipulate large amounts of data without running into any problems.

Data structures are important because they determine how efficiently your devices will function. They also indicate whether or not your program will work correctly, which means that you should learn what defines them before you learn algorithms.

Why do you need to know about them?

These two concepts are fundamental to learning how to write computer programs. These two concepts, when put together in the right way, allow us to write efficient code.

They are essential when building complex applications that solve a difficult problem. Data structures and algorithms are all around us, from security, to database storage, to file sharing, to voice calls to video chats.

Other than that, if you are trying to get a job in big tech (Google, Apple, Amazon, Facebook, Netflix, etc) you will be asked to solve a complex problem using data structures and algorithms, so it's essential that you know about them.

What do algorithms and data structures have in common?

Algorithms and data structures are both designed to help us with problem-solving. They can be used for a variety of different purposes, such as finding the shortest path in a maze or getting an optimal route between two cities.

Data structures are the first concept that comes to mind when most people think about algorithms. They're essentially mathematical formulas that help us organize information. Data structures are also the foundation for everything else involved in the creation of algorithms.

Another common characteristic that algorithms and data structures share is their use in order to find solutions to problems in an efficient manner. This can be done through pure logic or through testing and analyzing possibilities before making a decision on what's best.

What should you learn first? Data Structure or Algorithms?

There is no right answer here. Because they are interlinked together, you cannot have data structures without algorithms and you cannot use algorithms without having a data structure that is utilized by that algorithm. My approach is to first learn a data structure and then learn an algorithm that uses that data structure.

For example, I would suggest that you first learn about Hashmaps and Dictionaries then practice some hashmap and dictionary coding challenges

Then learn about stacks and queues and practice some stacks and queues coding challenges

While we are at it, if you want to learn what data structures and algorithms should you practice, check out our guide

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Where can I study data structures and algorithms?

To start learning about data structures and algorithms, you should find a course in your area of focus. There are many resources out there for beginners to learn from, such as Udemy, Coursera and Khan Academy. Other sources like blogs and YouTube videos offer tutorials on different topics in computer science that can help you get started with the topic that interests you most.

Another website to practice data structures and algorithms is JudoCoder.com We provide hundreds of hand-picked coding challenges that have been asked in an actual interview in big tech companies, such as Google, Facebook, Apple, Twitter, etc.

You should check out our interview prep guides (in the top menu on our website), they cover all essential data structures and some coding challenges that utilize those data structures.

Conclusion

Data structure and algorithms are an essential skill to learn if you want to break into the tech world and get a high paying job in Google, Facebook, Apple, Amazon, Netflix, Twitter, etc.

I hope this guide helped you answer some of the basic questions you had about what you should learn first and how you should approach this subject.

How to Write an Awesome Cover Letter As a Software Engineer

JudoCoder — Mon, 06 Dec 2021 14:06:07 +0000

Cover letters are often overlooked in today’s job market, but they play a crucial role in your job search. A cover letter can be the difference between getting an interview or not. While there is no one way to write a perfect cover letter, there are some important things to keep in mind when writing one. It should reflect your unique skills and abilities. It should also show that you have researched the company and position and that you would be a good fit for them. The following tips will help you write the perfect cover letter as a software engineer:

1) Include both professional and personal information about yourself- this includes your education, experience, and accomplishments

2) Address specific requirements such as key words or skills

3) Show enthusiasm for the company and position

What is a cover letter?

A cover letter is a professional business letter, which introduces you to a potential employer, and explains why you are the best candidate for the job.

It should briefly summarize your work experience, skills, qualifications, and career goals. It should also include how you learned about the position and what attracted you to it. When writing a cover letter, it's important that it be tailored to the specific company or position.

There are many variations of cover letters- some people prefer to write one paragraph, while others may write two paragraphs. The length of your letter can depend on whether or not you're applying for an internship or experienced in your field.

The content of your letter will vary depending on the type of job you're applying for- for example if you're applying for an entry level position, this would be different than if you were applying for a management position.

However, there are some key points that remain relevant across all jobs:
1) Include both professional and personal information about yourself- this includes your education, experience, and accomplishments

2) Address specific requirements such as key words or skills (such as tech stack, languages, data structures and algorithms, i.e if you are applying for Google, you may need to know algorithms for handling big data, if you are applying for adobe, you may need to know algorithms for image handling/processing)

3) Show enthusiasm for the company and position

Why do employers care about cover letters?

Employers often notice when someone sends in a cover letter. They see it as a sign that you are interested in the position, and it also gives them an opportunity to get to know you better before deciding whether to interview you or not. But what is the point of having a cover letter? It should be professional, concise, accurate, and personalized.

1) It should be professional- make sure the tone is appropriate for the position

2) It should be concise- remember that employers are busy people

3) One page maximum - take care not to include unnecessary information

4) Include personal details about yourself which will show that you have researched the company

5.) Keep your cover letter updated - if you have recently updated your resume or have new skills relevant to the job post, mention them in your cover letter

6.) Be honest - if there are things on your resume which might disqualify you from being qualified for the job, mention them up front

How long should my cover letter be?

The majority of cover letters fall in a range between one and two pages long. However, as an applicant, there are no hard-and-fast rules about how long your cover letter should be. It's best to use your best judgment and tailor it to the position and company.

A general rule of thumb is that less is more when writing your cover letter. If you feel like the content in your cover letter will be overwhelming, then it might be best to keep things brief or opt for an email format instead.

The components of a cover letter

A cover letter is a brief introduction and professional summary of your skills and abilities that accompanies a resume. A good cover letter should:

Introduce yourself and show that you've researched the company, position, or both
Demonstrate that you are qualified for the job
Sell yourself to the employer
Be tailored to the needs of the employer
Show your interest in the company
Banish bad habits like being too wordy, being generic, or sounding impatient

What should go in the body of my cover letter?

Your cover letter should be concise and to the point. It should include information about who you are, where you saw the job listing, your qualifications, and your availability. You don't want to repeat the same information that's on your resume or CV.

Writing a cover letter is about highlighting your qualifications for this particular position.

Should I attach my resume to my cover letter?

The answer to this question is not always cut and dry. If you are applying for a position online, you should always attach your resume to the cover letter. However, when applying for in-person positions in offices in person, you should not attach your resume unless requested by the employer.

Which format should I use for my cover letter?

There are three main formats for cover letters:

A formal letter - this is a letter written in an official business style and can include personal information like "to whom it may concern" and salutations, as well as your address, contact information, and signature
An informal letter - this is a more casual letter that can be as short or long as you want it to be. It typically includes fewer details, but could also contain personal information like "Dear Sir or Madam" and salutations
A template letter - this is a prewritten letter with the appropriate formatting already included. This format can be useful if you know the company's guidelines on what they're looking for.

Example of a cover letter for software engineers

Dear Mr. Jason Barnett,

I am sending this cover letter in response to your posting for an experienced software engineer. I have a proven track record of success and believe that my skills match the requirements of the position. My education includes a Bachelor's degree in computer science from University of Phoenix and certification as a Microsoft certified solutions developer for SQL Server 2016.

My experience spans nearly two years with top companies such as Bank of America, Gartner, and IBM. At each company, I was given challenging projects to work on with the hope of gaining new skills and knowledge in the process. These experiences have allowed me to develop expertise in key areas such as data structures and algorithms, system design, coding standards, database design, and project management among others.

Before you go

If you are thinking of applying to a job in tech, it might be a good idea to prepare for your technical interview. We can help you in that regard. We at JudoCoder.com provide a collection of technical programming interviews, asked by Big Tech (Google, Apple, Facebook, Amazon, Netflix, etc). We cover all sorts of data structures and algorithms and group our coding challenges by difficulty (easy, medium, hard, expert) so that you can pick and choose your questions based on where you are at your journey. Try giving JudoCoder.com a try!

Conclusion

A perfect cover letter should contain both professional and personal information about yourself, such as education, experience, and accomplishments. It should also address specific requirements, such as key words or skills. The letter should show enthusiasm for the company and position--in other words, it should show that you are interested in the company and would like to work there! In addition to this, a good cover letter will show knowledge of data structures and algorithms--in other words, good cover letters have a little bit of everything!

What Data Structures and Algorithms to Practice if You Want to Get a Job at Top Tech Companies

JudoCoder — Sat, 04 Dec 2021 01:44:31 +0000

Getting a job at a top tech company is no easy feat. It takes hard work and sometimes luck. One way to up your chances of being recruited by a top tech company is to be proficient in data structures and algorithms. Google, Apple, Microsoft, Amazon, Facebook, SpaceX, and more are on the hunt for talented engineers who can build products quickly and efficiently.

Do you know what these terms mean? If not, don’t worry! This article will cover everything you need to start tackling this intimidating but important subject head-on. From understanding the basics to learning how to interview for a job in this field, read on to learn what it really takes to get hired by top tech companies.

Data Structures and Algorithms

Data structures and algorithms are the backbone of computer programming. They're what allow engineers to design programs that solve problems in quick and efficient ways.

In order to work at a top tech company, you'll need to be proficient with data structures and algorithms. It's an integral component in any interview and is required for most jobs.

Some of you might already be familiar with these terms, but if not, don't worry! We'll cover the basics so it's easy to understand.

What Are Data Structures and Algorithms?

Data structures and algorithms are the language of computer science. They’re what allow programmers to make code more efficient, scalable, and secure.

Data structures are sets of data that are organized in a specific way. Algorithms are series of steps a computer takes to solve a problem or accomplish a goal.

Why You Should Know Data Structures and Algorithms

There is a lot of competition when it comes to landing a job in the tech industry. The good news? Being proficient in data structures and algorithms will make you stand out.

Why do these skills give you an edge over other applicants? It's all about how quickly you can build products.

Top companies like Google, Apple, Facebook, Amazon, and more are looking for engineers that can work quickly to create innovative features that will help grow their company. Knowing how to identify the best solution for a problem using data structures and algorithms will be an asset to any company that employs you.

What is the difference between data structures and algorithms?

Data structure is "the way data is organized." Algorithms are basically steps or instructions so that your computer knows what to do with the information stored in the data structure.

One example of this would be an algorithm for searching through an unsorted list so you know where each item is located on the list.

When applied to sorting data into lists, algorithms allow us to present information in a way that people can easily understand or use it for research purposes (.e., what items are popular).

Basic Types of Data Structures

Let's start with the basics. Data structures are ways for computer scientists to organize large amounts of data in a structured manner.

There are many different types of data structures, most of which are classified by complexity. A simple type is an array, which is made up of two parts: elements and indices. Elements are the things that we want to store; indices are how we reference those elements.

Other more complex data structures include tree and graph structures like binary search trees and directed acyclic graphs (DAGs). For example, a binary search tree is a tree-based structure that has both nodes and leaves, where each node holds information about its children. A DAG is simply an ordered list of nodes or vertices where there's no loops or cycles.

How to Interview with Top Tech Companies

Interviewing for a job at a top tech company can be intimidating. You may not know what you’re talking about and be interviewing alongside PhDs and engineers. It may also feel like you don’t have the necessary background to get hired, but this is where data structures and algorithms come in handy!

It may seem like talk of stacks, queues, and sorting is unrelated to your daily responsibilities. But knowing these concepts will help you land an interview with top tech companies.

So what are these things? Data structures are simply different ways to store information. Algorithms are sets of instructions that tell computers how to solve problems. Both data structures and algorithms are built on mathematical models that describe how data should be organized and/or processed in order to work efficiently and quickly.

Prepare for the interview

Interviewing for a job at a top tech company can be intimidating.

You need to know everything about data structures and algorithms, and you have to nail the interview. Luckily, there are resources available that can help you prepare for your interview.

One of the best resources is [JudoCoder.com](https://judocoder.com]
You'll work with different forms of technical interview questions, asked by top tech companies and improve your programming skills, the questions on Judocoder.com are sorted by varying level of difficulty (easy, medium, hard and expert) so you can pick and choose based on where you are in your journey.

If you're interested in practicing data structure and algorithms, click here!

Practice with these data structures and algorithms

Data structures and algorithms are the building blocks of computer science. You can't become a talented engineer without mastering these concepts.

But what are they? Data structures is the way data is stored in a computer system, and an algorithm is a set of instructions for solving a problem. They're essential to understanding how computers work and they form the basis of programming languages.

As you may have guessed, you can't just read about data structures and algorithms, so we've compiled some coding challenges to help you learn more about them:

There is a mapping a = 1, b = 2, ... z = 26 given and an encoded message. You have to count the number of ways it can be decoded. - asked by Facebook practice here
Two arrays and an element x is given. Find the element that would be at the xth position of the final sorted array. - Asked by Google practice here
Given a list of integers, return the largest product that can be made by multiplying any three integers - Asked by Facebook practice here.

Conclusion

The world of data structures and algorithms can be scary. But, with the right approach, it doesn't have to be!

This article covers the basics for understanding what this field is all about. It also provides information on how to interview for a job in this field. From data structures to algorithm development, read on to learn more about this important industry that you may not have known too much about before.

You Just Finished a Programming Bootcamp. Now What?

JudoCoder — Fri, 03 Dec 2021 02:17:38 +0000

You’ve just finished a programming bootcamp and feel like you’re on cloud nine! You can’t wait to get started with your new role as a software engineer. But before you start searching for your first job, there are some important things to consider. More than 80% of companies recruit through referrals. So the people you know and trust will play a huge part in where you end up. To make sure you find the best company for you, here are some tips for landing your first job after a programming bootcamp.

Create the perfect resume and cover letter

Your resume is the first impression you give to a potential employer. Make sure that it gives people a clear understanding of what you are looking for, why you are qualified for the position and what sets you apart from other applicants. You should have a clear and concise resume that includes all relevant information in an easy-to-read format.

Your cover letter will be the second impression you make with your resume, so make sure it's specific, engaging, and detailed. It should also be thoughtful and personal to ensure that it stands out as more than just another job application.

Once you've created your perfect resume and cover letter, start applying. Recruiters love to read back previous work history (at least two years) and skills (technical, academic or both). They'll also want to see references from anyone who has previously worked with you.

Check out this in-depth guide on writing great resumes
101-developer-resume-cv-templates

Search for Jobs Online

Searching for jobs online is an easy way to find opportunities that are a good fit for your skill set. You can search through job boards and company websites, but make sure you travel a little bit further to get the most relevant opportunities. Searching for jobs online will allow you to see what your options are and narrow down exactly what you’re looking for.

Here are some of the job boards for tech companies:

Understand the process of hiring

The hiring process is a long and tedious one. But being in the right place at the right time can help you land your dream job.

A recruiter may start with an initial phone interview, which could be followed by another round of interviewing if it seems like there's a good fit for both parties. Then, you'll get a background check, drug test, and possibly a medical exam (if the position is especially high-risk). You may even need to do some training or on-boarding before getting started.

You should know that the first few weeks of employment are crucial for your company too. It can be exhausting getting yourself up to speed, so you want to make sure that this period is as stress-free as possible. From there, you'll have an opportunity to prove yourself and build your career from the ground up.

Find your first job with referrals

More than 80% of companies recruit through referrals, so the people you know and trust will play a huge part in where you end up.

So how can you put your referral power to use? These pointers will help you find the perfect company for your new role:

1) Get out there and network! You’re going to need all the support you can get. Joining professional groups via LinkedIn is a great way to meet new people and make connections that can lead to job opportunities. Professional groups are also an excellent place to share work experience and build relationships with potential employers. Another great way to network is to attend hackathons and conferences

Here are some of the resources hackathons and events that you can attend, show off your skills and make your connections!

2) Keep your résumé current! Companies are always looking for fresh talent, so updating your résumé is a great way to stay competitive in the job market. Updating your résumé regularly will remind employers of who they hired last time and show them that they’re not just one-hit wonders!

3) Don’t forget your soft skills! Your first day on the job may be daunting, but it gets easier as time goes on. Learning how to navigate office politics, what expectations an employer may have of you, or other aspects of being in a new environment are skills that an employer is looking for.

Check out this Amazon best-seller on Soft Skills for Programmers
Soft Skills: The software developer's life manual

Be your own brand not your bootcamp's brand

Another point is that you don't want to let your programming school or bootcamp brand cloud your judgement. Just because companies hire people with experience doesn't mean they're better than those without experience--it just means they have more opportunities or have been in business longer. You should keep this in mind when making decisions about where to apply for jobs after your bootcamp.

What are some common mistakes that bootcamp grads make in their job search?

There are a few common mistakes that bootcamp grads make in their job search. One is not applying for jobs that seem to be too far from the skills they've learned from their bootcamp. Another mistake is not going after those companies and types of positions that are the most likely to hire bootcamp grads.

Another mistake is using your programming experience as a crutch and not doing any research on the company you're applying to. This can make it difficult for you to learn about other roles within the company, and can also create a negative impression if they ask you what kind of work do you have experience doing.

The last common mistake made by bootcamp grads is neglecting to network with people in the industry before applying for jobs. Networking with people in the industry gives you an idea of what the best companies are looking for and makes it more likely that you'll find a job that fits your skill set.

Get some experience in the field

Not only do companies recruit through referrals, but they also prefer candidates who already have experience in their field. So if you're going to be an engineer, it's important that you are already well versed in the field before applying for a job. If not, then you'll probably end up being hired as a junior developer and work your way up the ladder.

I would recommend you create a side project and push them to github to show your skills to your potential employers. Side projects can work wonders for you.

For more on this check out this awesome guide from Indeed.com
14 Programming Side Projects To Boost Your Resume (With Examples)

Get ready for interviews

There are a lot of people who will be interviewing you for your first job after a bootcamp. You’ll want to show them that you have the skills to do the job and that you’re a good fit for their company.

You should also prepare for technical interviews by practicing with friends and family members—and bring your laptop!
What questions might they ask? Most companies will ask similar questions, but they may also ask more specific information about the software engineering position, what your strengths are, or how many hours per week you'll work. It's important to have answers ready so you can show them why you're the right candidate.

Preparing (and replying) to interview questions

1. Research the company

Find out as much as you can about the company and what they do by asking questions or conducting research online. It will help you decide if this is the right company for you and what they are looking for in an engineer.

2. Prepare your elevator pitch

This is a brief, one-sentence summary of why you want to work at this company and what makes them a good fit for you. It's also great for when you're on the phone with a recruiter or interviewing with someone who isn't familiar with your experience.

3. Practice your interview (and answer) skills

Practice interviews before your actual interview so that it feels more like a conversation and less like an interrogation! Try talking to people from different perspectives and see how it feels to be interviewed on video!

4. Have some questions of your own ready to ask.

The best way to show that you're interested in the position is to have questions prepared so that you can get insight into what they're doing and how their culture is working. This will help show them that not only are you excited about the role, but also taking time to find out more about it beforehand!

5. Practice data structures and algorithms.

Practice makes perfect, and it also makes you much more confident in your interview answers. These algorithm questions are a great way to practice your skills and make it seem like a walk in the park.

Here are a few algorithm questions that you can practice

There is a list of numbers and a number k given. You have to return whether any two numbers from the list add up to make it equal to k practice online
Two arrays and an element x is given. Find the element that would be at the xth position of the final sorted array practice online
An array of integers and a number k are given, where 1 <= k <= length of the array. You have to return the maximum values of each subarray of length k practice online

Conclusion

It may seem like a daunting task at first to get a job in the tech industry once you have graduated. Fortunately, it does not have to be that way.

Be sure to spend your time in networking, crafting a good resume, and practicing data structure and algorithm questions before you apply.

The good news is, JudoCoder.com provides handpicked selection of all sorts of data structures and algorithm questions, most of these questions have been asked in a real interview!.

I would suggest you create a free account at judocoder.com and start practicing your skills. You will be prepared in no time!..
No matter what you do, make sure you practice! You'll be happy you did when it's time for your interview.

Let me know what you think? I would love to hear what you have to say!

How to Land an Interview at Google (and Other Top Tech Companies)

JudoCoder — Thu, 02 Dec 2021 17:29:24 +0000

Landing an interview with Google is no easy task. But what about companies like Facebook, Amazon, Microsoft, and Apple? If you want to work for any of these companies, you’ll need to land that interview.

The first step is identifying the right company to apply to. Once you find the company you want to work for, take a look at their website. What are they known for? What values do they have? How many people do they employ? Which department might be the best fit for you? After you figure out who your perfect target company is, it’s time to go about actually getting an interview with them.

There are three ways to get your resume in front of their hiring managers:

1) Apply for a job using their job board.

Some companies have an online application or job board with openings that you can apply to. You can search through the available jobs and choose the one you want to apply for. But be warned, not every company has a job board and not all of them are easy to find. So before you go this route, make sure it’s worth your time.

2) Find a contact or recruiter at the company.

Applying to a company on their website is great if they have one, but some companies don't have an online application. If that's the case, then find someone who knows about the company and get in touch with them! This might be difficult because many companies don't have public contacts listed, but use your network – they'll probably know someone working there.

3) Connecting during a hackathon or other event.

Some companies host hackathons or events where people can come in and present their ideas on how to improve their product or business. While these types of events are often low-interaction, sometimes the person organizing will remember you from your presentation and love what you're doing with tech!

Whichever route you choose, keep in mind that success comes from persistence. Sometimes, it takes 10-15 tries before someone responds back.

Find the perfect company for you

One of the best ways to find the perfect company for you is to identify who your ideal job would be at that company.

For example, if your ideal job would be working on Facebook’s Ads Team, you know that their ads team works in Menlo Park, California. You can narrow down your search by looking at their website to see which departments are hiring and figure out which one might be a good fit for yours.

Write a great resume

Your resume is the first and most important step to getting an interview with a company. You should put your best foot forward, so make sure your resume is polished before you hit send.

Here are some tips for creating a successful resume that will help you land that interview:

Make sure your personal information doesn't stand out. It's easy for recruiters to spot resumes that don't match the company's standards. For example, if you're applying for an office job, don't list your previous experience as a stripper in Las Vegas or as a busboy at a restaurant when you were 12 years old.
Make sure the formatting is neat and professional looking—don't use Comic Sans!
Keep it concise; there's no need to go into too much detail about yourself on your resume.

The most important information should be on the top of your resume.

Find the right person to contact

In order for you to land an interview with a company, you'll have to contact someone who can place an interview for you. This person should be someone who is directly related to the hiring department--for example, if you are applying for an engineering job, find out if there is a recruiter for that specific department.

The best way to get started is by looking on the company's website to see which departments might be interested in your qualification and skill set. If there is no hiring manager listed on their website, look around their social media accounts or check out their annual report to see who is involved with hiring.

If you're still not getting any response, keep trying different people at the company until one of them helps you out. When they do help you out and give feedback, leave them a thank-you note or tweet that appreciation back!

For more information about how important it is to target the right company and how finding this person will make all the difference in landing your dream job, read this article: https://www.flexjobs.com/blog/post/choose-a-company-then-a-job/

Apply for jobs online

There are many job boards out there, but what company should you apply to?

That depends on your qualifications and the company that you want to work for. If you're applying for a job at Google, Amazon, Facebook, or Apple, then you'll need to apply to their job boards.
Here are some of the job boards for tech companies:

If you have more, be sure to mention it in the comments!

Before you start trying to find the right company for your resume, create a copy of your resume that is tailored specifically for each company. That way when you go on their site and see which jobs they have available, you can quickly filter through them based on what the company is looking for.

Network by attending events and conferences

If you really want to land an interview with your target company, it helps to attend events and conferences that they are in attendance at. To find out what events may be coming up, try searching the company's website or social media pages. Once you have a list of events, start contacting event organizers to see if you can get a chance at the interviews that will be held there.

Once you get an interview, another important thing is to make sure that during the interview process, you build that personal connection with your interviewer. If you build a good personal connection with them, they’ll remember your name and might make sure your resume has a second look from someone else in their department.

Here are some of the resources hackathons and events that you can attend, show off your skills and make your connections!

If you think I missed something that should be added here, be sure to mention it in the comments

As long as you do all of these things correctly, it should not be too hard for you to land an interview with Google! (or any other company for that matter!)

What should you prepare for your interview?

If you are interviewing with a large company, it is important to prepare for the interview. You want to make sure that you present yourself in the best possible light and make the best impression on your interviewer.

Here are some things to keep in mind:

Know what questions they might ask - Practice answering them - Research their company - Prepare a list of questions you want to ask them.
Know data structures and algorithms, they are the most important part of the interview, if you do not know data structures and algorithms you will not be able to answer their technical questions. So it's best that you are prepared!

Here are a few data structure and algorithm questions (asked by Google themselves!)

There is a list of numbers and a number k given. You have to return whether any two numbers from the list add up to make it equal to k practice online
Two arrays and an element x is given. Find the element that would be at the xth position of the final sorted array practice online
An array of integers and a number k are given, where 1 <= k <= length of the array. You have to return the maximum values of each subarray of length k practice online

Conclusion

You can make anywhere from $80,000 to $180,000 in the tech industry even if you are just starting out (and not to mention the perks and stock options that come along with it!).

So if you are interested in working at top tech, make sure you are prepared for a technical interview.

The good news is, JudoCoder.com provides handpicked selection of all sorts of data structures and algorithm questions, most of these questions have been asked in a real interview!.

Let me know what you think? Can you land an interview at top tech companies using these tactics? Let me know your comments. I would love to hear what you have to say!

How Much Do Developers at Top Tech Companies Make?

JudoCoder — Thu, 02 Dec 2021 15:08:47 +0000

Developers are the backbone of tech companies. These are the people who make sure everything works smoothly. You could say they're the heart and soul of any company's success. Every step of the software development process is done by developers, from planning to coding to testing. They work in one or more programming languages that help them create websites, apps, games, and other software technologies.

Between 2010 and 2017, the median pay for software developers rose from $81k to $97k in the U.S. But how does this compare to other industries? In 2017, Software Developers earned a median salary of $97,000 which is more than twice the national average of $47,030. Tech companies are also boosting their salaries with stock options, bonuses, and perks like free food or Google's famous "20% time."

It's hard to know where your salary ranks when applying for a job in tech because most job sites don't list salaries by company. We compiled data from top tech companies with the highest salaries to give you an idea of what you can expect if you're looking into a new career path in tech.

How much do they make?

All developers are not created equal. Some of them are better than others, and some have more experience. For example, one developer might be able to make $120,000 per year while another might only make $50,000.

It's really about the kind of work that you do. The more complex your work is, the more you'll get paid. This is what you need to know if you want to become a developer:

The average salary for a developer is $97,000.
A senior software engineer can make anywhere from $120,000-$175,000 per year
A senior web developer can make between $80k-$110k+ per year
An entry-level web developer can make between $50k-$65k+ per year

What is the median salary for a software developer?

The U.S. Bureau of Labor Statistics lists the median salary for software developers at $97,000 in 2017. Software developers make more than twice the national average and rank among the highest-paid workers in America.

Software developers can find work at a variety of companies and organizations and make a median salary of $97,000. But what does this mean to you? It means that if you're currently earning $45,000 per year as a software developer at a small company, you could easily apply to larger firms with greater earning potential.

Or if you're not currently employed but want to break into the industry, it may be worth considering applying for jobs at these top-paying companies:

Facebook: Median annual salary is $133,080
Google: Median annual salary is $128,750
Amazon: Median annual salary is $117,959
Apple: Median annual salary is $116,585

What is the most and least you can make as a software developer?

The most you can make in the U.S. with a salary is $180,000 with stock options and $140,000 with no stock options.

The least you can make is $81,000 with no stock options or $120,000 with stock options.

What languages do developers work in?

Developers work in one or more programming languages that help them create websites, apps, games, and other software technologies.

There are many programming languages for developers to choose from. But not all of them are applicable to every situation.

Before you start learning a new language, it's important to understand what your strengths are and where you want to go with your career. Every developer has a specialty. They often specialize in a certain type of programming language or technology.

These are some of the most in-demand programming languages for developers: Java, C#, Python, PHP, Ruby on Rails, JavaScript, C++. If you want to become a developer at a top tech company like Google or Facebook then you need to know these languages!

What do developers work on?

Developers work on the back-end and front-end of projects. The back-end is the less glamorous part of a project where it does the heavy lifting behind the scenes - like data storage and database management - while the front-end is what users see when they interact with the program - like graphics and features.

Different types of developers:

Front-End Developer: Creates things that users can see on screens - graphics, features, etc.
Back-End Developer: Creates code that manages data storage and database management for a project

How can I become a developer at a top tech company?

In order to become a developer at a top tech company, you need to start learning the languages they use. If you want to work for Facebook or Google, then you'll need to know Java and JavaScript.

And if you want to work for Apple, then you'll need to have a solid understanding of Objective-C and Swift.

You can also learn the skills necessary by going through a coding bootcamp. There are many great schools that offer short courses in these programming languages. You'll get a crash course in these languages and be prepared for the job market once your class is over.

A lot of developers learn on the job while working at different companies, but this can be difficult because it's hard to find an employer who will let you work on their specific projects while learning on the job. Some employers require that you come in with specific knowledge, like knowing Python syntax before they hire you. It's best if you start learning now so that when it comes time for interviews, your skills are up-to-par and ready!

But knowing the skills needed in the job are not enough, you also need to be prepared for the interview! Fortunately, we can help you in that regard! (check out JudoCoder.com)

Conclusion

You can make anywhere from $80,000 to $180,000 in the tech industry even if you are just starting out (and not to mention the perks and stock options that come along with it!).

So if you are interested in working at top tech, make sure you are prepared for a technical interview.

The good news is, JudoCoder.com provides handpicked selection of all sorts of data structures and algorithm questions, most of these questions have been asked in a real interview!.

I would suggest you create a free account at judocoder.com and start practicing your skills. You will be prepared in no time!..

No matter what you do, make sure you practice! You'll be happy you did when it's time for your interview.

Let me know what do you think? Is this an accurate representation of what you can expect to make at top tech companies? Let me know your comments. I would love to hear what you have to say!