DEV Community: Mark Nathon

10 Best Web Developer Tools To Make You More Productive

Mark Nathon — Sat, 10 Aug 2024 11:51:23 +0000

In my free time, I love discovering new tools that make my job easier. As a web developer, I'm always on the lookout for hidden gems. I want to share 10 amazing tools that might not be on your radar yet.

*Here's the complete list *

How to Solve 1000 Leetcode Questions?

Mark Nathon — Thu, 28 Mar 2024 16:55:18 +0000

I recently read an article titled How to Solve 1000 Leetcode Questions?
Is it really worth it, and do we need to solve that many problems for a job at FAANG?

How AI Tools can Increase Coding Productivity?

Mark Nathon — Wed, 16 Aug 2023 07:30:09 +0000

We know that AI is here and it is not going anywhere. That's where the fear comes that it will diminish the entry-level jobs. Now, we have to wait to see what will happen eventually, but it's better to be prepared. That's where you need to learn to use AI.

I am not saying that you should start a course on Artificial Intelligence or Machine Learning. Where we need to focus is to learn how to incorporate AI Tools to increase Programming Productivity.

These AI-powered tools offer developers a wide range of benefits, from automating repetitive tasks to enhancing problem-solving capabilities.

Here are 3 important AI Tools that you can use:

1) Bug Detection

Bugs are the biggest headache for every programmer and sometimes, it takes a lot of time to find and fix this thing. There are AI-powered static code analysis tools that can help you with identifying potential bugs smells in real-time. These tools leverage advanced algorithms to scan codebases for errors, which can help developers catch bug. This will decrease debugging time and increasing code quality.

2) Instant Code Generation

Sometimes, you will need some simple code instantly. Or you need a piece of code that is long and will take a long of time to write it. To solve this, you can take the help of AI Code Generator. These tools use GPT and Machine Learning to analyze existing codebases and generate new code snippets. You can also prompt it to write code according to your project. This way, routine coding tasks will take less time and effort.

3) Code Refactoring

Refactoring code for performance, maintainability, or other reasons is a critical aspect of software development. AI tools can analyze codebases to identify areas that could benefit from refactoring. They can even provide suggestions or automatically implement certain refactoring patterns, leading to cleaner and more efficient code.

Now you have all these AI tools in your hand and be a great coder in the AI century. Integrate AI tools into coding to increase your efficiency. AI-driven solutions are transforming the way we approach software development.

The Importance of Excel in Data Science

Mark Nathon — Sat, 25 Sep 2021 10:36:59 +0000

The majority of "data scientists" aren't very fond of Microsoft Excel. It's slow and clumsy, can only handle a million rows of data (and will almost certainly crash your machine if you go close), and, despite Visual Basic's best efforts, is difficult to write for recurring operations.

Indeed, some data scientists may see Excel as "too low-end" for them to utilize. I had heard that using Excel for modeling was a fireable offense at one of the firms where I worked, but I'm happy to say that I broke this rule with little repercussions. Nonetheless, based on my experience as a "data science" and analytics consultant and having completed multiple modeling projects, I believe Excel remains an essential tool in a data scientist's arsenal. This is due to a number of factors.

Communication is the most important. Excel is a favorite of "business folks," who utilize it for almost every formal task (I know of people who write documents in Excel). If you need a collection of numbers, you'll almost certainly find them in an Excel sheet. I'm aware of some really significant companies that use Excel to store and transport data (admittedly poor usage). Even non-quantitative business types may use Excel to do fundamental quantitative operations like joining (VLookup), pivoting, basic data cleansing (TRIM, VALUE, etc. ), averaging, visualisation, and even basic statistics like correlation and regression.

Lack of communication between data scientists and the business side is one of the most significant issues that organizations confront (I mentioned this in a talk I gave last month: videohereand slides here). Excel is an ideal middle ground because it is quantitative and business folks are familiar with it.

In fact, in my consulting experience, I've discovered that utilizing Excel with clients can make them feel more at ease and participating in the research, speeding up the process and considerably boosting collaboration. They'll feel more empowered to interfere, which means they'll be able to offer value, and they'll be especially thrilled if you allow them enter some simple quantitative calculations on occasion.

Excel appears to be a necessary number-crunching program that is mostly used to manage family expenses and generate simple reports. Excel, on the other hand, is more than just a reporting tool. Excel is a sophisticated piece of software that can be used for a variety of tasks, both personal and professional. As a result, MS Excel has a plethora of applications, and the list goes on and if you are struggling with excel formulas or need some Excel help online then you can connect with excel experts.

Entry and storage of data

Excel is an excellent software for basic needs when it comes to data entry and storage. Excel is an excellent tool for storing large amounts of data. The size of the excel file is restricted, however, by the computer capabilities and memory available on the device. In a table format, excel worksheets can have 1,048,576 rows and 16,384 columns. We can use the data in an excel file for a variety of purposes once it has been arranged. We can perform a variety of operations on the data using a variety of tools and equations.

Accounting and Finance

The areas of finance that rely on and benefit the most from Excel spreadsheets are financial services and financial accounting. In the 1970s and early 1980s, financial analysts would spend weeks manually or (starting in 1983) on tools like Lotus 1-2-3 executing complex calculations. Excel now allows you to execute complicated modeling in minutes.

If you walk into any major corporation's finance or accounting department, you'll see Excel spreadsheets crunching figures, detailing financial results, and developing budgets, projections, and plans that are used to make significant business decisions.

Excel can add, subtract, multiply, and divide for most users, but when used in conjunction with VLOOKUP, INDEX-MATCH-MATCH, and pivot tables, it can do a lot more.

Product Management and Marketing

While marketing and product managers rely on their finance departments to do the hard work when it comes to financial research, employing spreadsheets to track customer and sales targets can help you manage your salesforce and plan future marketing tactics based on past performance.

With an easy drag-and-drop, users may quickly and simply summarize customer and sales data by category using a pivot table.

Planning for Human Resources

While database systems such as Oracle (ORCL), SAP (SAP), and Quickbooks (INTU) can be used to manage payroll and employee data, exporting that data to Excel allows users to spot trends, summarize expenses and hours by pay period, month, or year, and gain a better understanding of how your workforce is distributed by function or pay level.

HR experts may utilize Excel to analyze a large spreadsheet of employee data and determine where the expenditures are coming from, as well as how to effectively plan and control them in the future.

Most office workers today require a decent grasp of Excel, and higher Excel skills can lead to advancement and leadership opportunities. Excel is a strong tool, but it can't do everything by itself. To produce the finest outcomes for their company, a wise computer user must take use of everything Excel has to offer.

Aside from that, features like Excel's Data Form make entering and visualizing data easier. Users can use this to create customized data entry forms that meet their own business needs. Furthermore, we may utilize Excel to construct multiple lists for various purposes. Customer mailing lists, employee work reports, employee shift rotations, and so on are examples.

This is undoubtedly not an exhaustive list. If you're a data scientist, you should know how to use Excel at the very least. I understand that it will only satisfy a limited number of analytical demands, but the time spent learning will be more than compensated for in terms of communication, collaboration, and simplicity. Excel's Importance in Business

Why is coding the most valuable talent ?

Mark Nathon — Thu, 12 Aug 2021 10:22:06 +0000

The term "coding" appears to be used more frequently in today's workplace, prompting two apparent questions: what is computer coding and what is code? Coding, also known as scripting, is a language that is used to offer a set of instructions for an environment to accomplish specific activities, such as a PC, robot, or browser. Although some people distinguish between these names, they are commonly used interchangeably. Coding entails giving a computer step-by-step instructions to follow. Computers, by their very nature, behave in ways that are directly instructed, based on these instructions.

Importance of Coding

In a broad sense, learning code is similar to learning any language – or, to be more precise, a family of languages. There are general standards that all scripts must adhere to, as well as extremely specific rules for each script. Coding is not an exaggeration when it is said that it is the DNA of the digital world. Coding is required for the operation of every phone app, website, computer software, and even many kitchen appliances. This is why coders play such an important role in molding the present day and the future.

Over the next decade, it is expected that there will be a significant shortage of computer science graduates qualified to fill open coding positions. This represents the spread of coding throughout a wide range of businesses. Indeed, computer science is becoming a critical component in a wide range of fields, including health and banking, where knowledge of programming and coding is becoming increasingly relevant and important.

Where is coding used?

As previously stated, coding has evolved into the modern world's framework, and coders serve as the architects of these structures. As a result, qualified coders are in high demand. Their expertise is utilized to develop mobile and desktop apps, as well as prominent websites like YouTube, Facebook, Twitter, and Instagram. There are a variety of programming languages, each with its own goal of improving or decreasing usefulness. Here are some of the most extensively used languages, in addition to Python, PHP, and C#:

Java is a general-purpose programming language that is widely used in desktop software, Android phones and tablets, a large number of websites, and embedded systems such as the chip that runs a washing machine.

Javascript is a language that, despite its name, has little in common with Java. In fact, it has been suggested that Java and Javascript are related to Ham and Hamster. Javascript was created to bring front-end, in-browser functionality to online pages, such as Gmail and eBay, where a full program may operate within a web browser. Javascript is now being used in innovative ways as a general-purpose programming language.

C is a rapid programming language that is commonly used to create operating systems, device drivers, and other programming languages. It may also be used to program embedded systems and has an excellent performance.

C++: Based on C, it has a number of similarities to C. C++ is most commonly used in 3D games. It's rarely utilized on websites unless they're really well-optimized. C++'s unique feature is its ability to manage memory efficiently, which comes in handy when smooth real-time execution is required.

Coding's future possibilities

For individuals pursuing a career in computer sciences, new industries are providing opportunities to expand. Aside from the obvious examples of IT workers, scientists, artists and designers, data analysts, and engineers, vacancies in fields such as finance and manufacturing are beginning to develop. As a result, coders have become highly sought after and are frequently well compensated.

Those interested in coding jobs should focus on learning SQL databases and programming languages such as Java, Javascript, XML, Python, C#, and C++, as well as learning about operating systems and platforms such as Windows,.NET, iOS, and Linux.

It is critical for those interested in a career in coding to keep up with ongoing technological advances and to discover any areas of expertise that appear particularly intriguing. Those interested in architecture, graphic design, or engineering, for example, should be familiar with AutoCAD programs. Those interested in analytics should be familiar with the statistical software environments R and SAS, as well as the current industry dispute about which is superior.

How to Begin a Coding Career

There has never been a better time to pursue a profession in coding, to reiterate. However, skills beyond fundamental computer programming is required as a result of this. A bachelor's degree is required for practically all coding professions. It's a good idea to pick a programming field to ensure that graduates can get the coding jobs they want with this degree. This could be in the areas of mobile app development, web technologies, server development, or desktop application development. There is a distinct language to learn for each of these.

This should be done as part of a general immersion in a certain topic of computer science, in which you search out every article, blog, podcast, and video relating to it. Even try to find a tutor for Coding help to learn additional knowledge.

Takeaways

This rapidly growing industry will become increasingly competitive, so gaining advanced knowledge early on will offer you an advantage and pay off later. Being proactive and gaining a basic understanding of different fields of expertise, as well as learning additional languages, will be advantageous in the long run.

8 Reasons to Learn C++

Mark Nathon — Wed, 21 Jul 2021 12:59:29 +0000

Many modern systems, such as operating systems, web browsers, databases, and so on, have C++ code in at least some part of their codebase. Furthermore, owing of its speed, C++ is very beneficial in performance-critical domains.

The top 8 reasons to learn C++ are listed below, taking into account its popularity and relevance:

1. C++'s High Salary and Popularity
C++ is one of the most widely used programming languages on the planet. It is used by 4.4 million developers all over the world. C++ Developers are also in high demand, and they have some of the highest-paying professions in the sector, with an average annual base pay of $103, 035.

2.Variety of Projects

You can complete a variety of projects to practice C++, ranging from simple to advanced. Each of C++ projects will teach you something new, ensuring that you are well-versed in the most crucial concepts that will come in helpful when working on real-world projects.

3. C++ has a huge user base

A big online community of C++ users and professionals is especially helpful in the event that assistance is required. On the internet, there are numerous resources for C++, such as GeeksforGeeks and others. StackOverflow, cppreference.com, Standard C++, and others are some of the other online resources for C++.

4. Databases and C++
Many current databases are written in C++, including MySQL, MongoDB, MemSQL, and others. This is due to the fact that C++ is relatively current and offers features such as exceptions, lambda expressions, and so on. Many databases created in C++ are utilized in practically all current apps, including YouTube, WordPress, Twitter, and Facebook.

5. Operating Systems and C++

Windows, Linux, Android, Ubuntu, iOS, and other major operating systems are written in a blend of C and C++. The Windows programs are written in C++, whilst the Android applications are created in Java with C/C++ support using non-default run-times. C++ can also be used to create the core of iOS applications.

Because of the speed and strictly typed nature of C and C++, they are commonly employed in operating systems.

6. Graphics with C++

Because of its speed, C++ is used in applications that require graphics, such as digital image processing, computer vision, and screen recording programs. This can also apply to a variety of games in which graphics play a significant role.

7. Embedded Systems and C++

Because C++ is closer to the hardware level, it is particularly effective in embedded systems, where the software and hardware are tightly connected. C++ is used in many embedded devices, including smart watches, MP3 players, GPS systems, and so on.

8. C++ is a portable language

C++ programs can be transferred from one platform to another. This is one of the key reasons why C++ is frequently used in applications that require multi-platform or multi-device development.

Conclusion

C++ is a universal programming language that is mostly utilized in systems programming and embedded systems. System programming refers to the process of creating operating systems and drivers that interact with hardware. Automobiles, robotics, and appliances are examples of embedded systems. It has a larger or more diverse community of developers, which facilitates the hiring of developers and the development of online solutions.

Because of its security and features, C++ is touted to as the safest language. It is the first language that each developer should learn if they want to work with programming languages. It's simple to learn because it's a concept-based language. Its syntax is basic, making it simple to write or develop, and faults are straightforward to reproduce. Programmers preferred to master C++ first before moving on to other languages. However, most developers prefer C++ because of its vast range of applications and compatibility with a number of systems and software.

How to Start Learning Java

Mark Nathon — Wed, 07 Jul 2021 09:02:00 +0000

Java is one of the most extensively used programming languages, and it is utilized as the server-side language for the majority of back-end development projects, including big data and Android development. Java is also widely used in desktop and mobile computing, games, and numerical computation. Java's popularity is further proved by the fact that 90 percent of Fortune 500 organizations use it.

The following are some of the reasons why the software industry uses Java for developing enterprise applications.

Java was welcomed by the software industry because it made development easier, eased distribution issues, and eliminated the pain of continuously porting across platforms.

It is strong and secure since it is an object-oriented language. Java programs are compiled in bytecode regardless of platform, allowing the same program to run on any machine with a JVM installed. This is a logical and practical approach to software development. Java objects contain data and behavior, allowing code to be reused and testing and debugging to be simplified.

When people learned how Java could handle their problems on servers, it increased productivity, performance, and scalability to new heights.

Java has proven its dominance over other languages in a variety of areas, including software distribution via the internet, server-side scaling of multi-tier architecture, taking use of continually advancing hardware designs – to cloud-native deployments, and much more.

“The time spent learning the Java programming language was well spent.”

Applicants with a love for computer science will be given favor by employers. One of the finest ways to demonstrate that you care about the job and aren't simply there for the money is to show that you have personal projects.

Don't be left behind because many developers have their own side projects. So everyone should start practicing java by making projects.

List of interesting Java projects

Bank Application System
Student Database Management
Gui Calculator
Customer Relation Management

Where Should You Begin Learning Java?

To get you started, let's break down six simple steps to learning Java and go through some basic language.

Make your motivation observable.

Although Java is easier to learn than other languages, it is nevertheless a difficult language to master. To master Java, you must study and practice on a daily basis. If you don't have a goal in mind for your hard work, it will be more difficult.

Having a clear motivation will help you overcome obstacles and stay focused on your studies. Do you want to create your own game? Do you wish to work as a Java developer full-time? Set these objectives as soon as possible!

Make an educational strategy.

Your new best friend is discipline. As a new Java learner, making a learning plan will make or break you. You'll know when and what to study if you have a study schedule.

Create a weekly program that begins with the fundamentals. Many people wonder how long it takes to master Java, and the reality is that there is no single answer. A dedicated, organized student, on the other hand, would undoubtedly learn faster and smarter than someone who does not plan ahead.

If you're serious about learning Java, we recommend devoting two hours per workday to studying and four hours per day on weekends. If you keep to this schedule, you'll be ready to apply for a job as a Junior Java Developer in 4 to 7 months.

The following is a general outline of the things you'll need to learn:

Syntax in Java (the rules for writing a program)

Concepts of Object-Oriented Programming

Java's core (how you develop a java application)

Collections in Java (architecture for storing groups of objects)

Frameworks and libraries (large collections of prewritten code)

APIs (Application Programming Interfaces) (protocols and tools used to build applications)

Get it now (a widely used control system)

Make an instructional plan that covers these topics in order. Keep in mind that your learning style and your experience of other programming languages will affect your timing.

Install the Java Development Kit (JDK)

The Java Development Kit is a programming environment for documenting and compiling Java programs. It comes with all of the essential tools for writing and developing Java. The Java Runtime Environment (JRE) and Java Virtual Machine are included in this package (JVM). JRE is a set of libraries and components that allows your code and apps to run.

The JVM is the program that executes your Java bytecodes and puts your code into action on any platform. JDK is available for download from Oracle.

Don't bother about this step if you're still on the fence about Java. You are not need to commit immediately and can begin with classes that provide an embedded environment.

Start with the fundamentals.

Even if you've worked with other programming languages before, a thorough introduction to Java is essential for laying a solid foundation and achieving success. You can go on to the next stage of your learning once you've figured out how to compile code and correct mistakes.

Difference between Stack and Queue Data Structure

Mark Nathon — Tue, 29 Jun 2021 09:26:20 +0000

Stack Data Structure

A Stack is a FILO (First In, Last Out) data structure in which the element that is added first is the last to be erased. At the top of the stack, operations like insertion (PUSH) and deletion of entries (POP) are done. Stacks are linear data structures because the items in them are ordered in a sequential order.

The following are some examples of stacks in practice
Arrangement of plates.
Arrangement of books in a cupboard.
Wearing or removing bangles from hands.

Stack operations of several kinds

The following are the most basic stack operations in the data structure:

push() - Adds a new element to the stack's top. It's an overflow if the stack is completely full.
pop() - Removes one element from the stack's top. It's an underflow if the stack is empty.
peek() - Displays the stack's topmost element.

Queue Data Structure

A Queue is a FIFO (First In, First Out) data structure in which the element that is added first is also the first to be deleted. Enqueue (insertion) and dequeue (removal) are the two most basic queue operations (deletion). The front of the queue is used to enqueue, and the back of the queue is used to dequeue. Because the pieces in a queue are ordered in a logical order, queues are referred to as linear data structures.

The following are some examples of queues in action

The customer who enters a store first will be served first.
Task scheduling on the CPU and disk scheduler.
In the case of bus and train tickets, there is a waiting list.

There are many difference between stack and queue and both have separate real world applications.

Why Python is So Popular?

Mark Nathon — Thu, 24 Jun 2021 05:15:32 +0000

Despite its humble beginnings as a hobby project named after Monty Python, Python has grown to become one of the world's most popular and frequently used programming languages. Python is used for data analytics, machine learning, and even design, in addition to web and software development.

We look at some of the applications of Python and why it is such a popular and adaptable programming language. We've also compiled a list of some of our favorite Python courses, as well as some beginner Python project ideas.

The fundamentals of Python

Let's get the fundamentals out of the way before we dive into the details of what Python can do. If you're looking to learn a programming language, these fundamentals can help you see why Python would be a good fit.

What exactly is Python?

Python is an object-oriented (data-oriented) high-level (easier for humans to grasp) computer language, as we explained in our summary piece on what different programming languages are used for. It was first released in 1992 and is designed to be relatively easy to write and understand. As a result, it's an excellent coding language for individuals that wish to develop quickly.

If you're wondering who uses Python, you'll find that it's used by many of the world's largest corporations. NASA, Google, Netflix, Spotify, and a slew of other companies utilize it to power their services.

Why is Python so popular?

Python is the world's third most popular programming language, behind behind Java and C, according to the TIOBE index, which evaluates programming language popularity. Python's widespread use can be attributed to a number of factors, including:

It is simple to use

Python is a fantastic first step for people who are new to coding and programming. It's quite simple to learn, so it's a good place to start if you're new to programming.
It has a straightforward syntax. Python's syntax is more like English, making it reasonably straightforward to read and grasp. Because of its simple layout, you easily figure out what each line of code does.

It has a vibrant community

Python is an open-source programming language that anyone can use. Furthermore, the ecosystem is supported and developed by a community that contributes their own contributions and libraries.
Its adaptability. Python has a wide range of applications, as we'll see in greater detail later. You can utilize the language whether you're interested in data visualization, artificial intelligence, or web development. Also you can take help from python tutors if you need python coding help

Why should you study Python?

So, now that we understand why Python is so popular right now, why should you learn how to use it? Apart from the above-mentioned simplicity of usage and versatility, there are several compelling reasons to learn Python:

Python programmers are in high demand. Python abilities are in high demand across a wide range of industries. It could be a useful talent to have if you're trying to start or change your job.

It has the potential to lead to a lucrative career. According to data, the median yearly income for Python programmers in the United Kingdom is roughly £65,000 per year.

There will be plenty of job openings. Python is anticipated to be a future-proof expertise because it can be utilized in a variety of upcoming technologies such as AI, machine learning, and data analytics. Now is a good time to start learning Python because it will help you later in your career.

How to Start Programming in C++

Mark Nathon — Mon, 31 May 2021 10:46:31 +0000

C++ is one of the most popular and powerful object-oriented programming languages, and it's the best place to start if you want to undertake low-level programming.
C++ applications can be found in a variety of disciplines, including embedded programming, server-side applications, gaming, and even high-frequency trading. C++ is used to write the majority of complicated software, such as operating systems, database management systems, and powerful trading systems.

While many of us have learnt to program in C and C++, I will admit that learning C++ is difficult. There are many areas that are difficult to grasp, such as points, but you will learn them gradually with the help of these free C++ classes.

There is no doubt that mastering C++ will provide you with several chances. C++ developers are in high demand, especially in the field of high-frequency trading, where every microsecond counts and the power of C++ is essential.

C++ is the language that gives you the best of both worlds: it allows you to use OOP to manage software complexity while also allowing you to get close to your machine and access all of your computer's hardware, something that other object-oriented languages like Java or Python don't allow you to do. You should take help from expert if you got stuck in any c++ homework help

That's why C++ is so popular for building native device drivers, high-end desktop games, and complex artificial intelligence algorithms that require a lot of processing power.

Need For Machine Learning in Today’s World

Mark Nathon — Thu, 29 Apr 2021 06:21:24 +0000

The term ‘machine learning’ ignites a spark in your eyes and gets your brain into thinking about its tremendous impact on the world. Machine learning is an element of Artificial Intelligence, where a computer is programmed for self-teaching and self-improvement. It is about analysing big data- right from extracting the information to making predictions and finally coming to the correct decisions.
There is a massive amount of data gathered every day, and it would be impossible to analyse these data sets without machine learning. Multinationals and small companies are all using machine learning to analyse user data and their shopping behaviour.
In today’s world, machine learning shapes and simplifies the way we live, work, and communicate. Let us discuss some of the reasons for the need for machine learning in today’s world.

Critical role in healthcare

Machine learning plays a significant role in the healthcare industry. It helps in predicting potential health problems basis the factors of age, genetic history, gender, socio-economic status, etc. It is also used for faster patient diagnosis and prevention of certain health problems. This is possible with the use of machine learning, where doctors use databases containing millions of illnesses and use cross-reference against the symptoms. Some hospitals even use machine learning algorithms to detect tumours and cancer cells and then advance the research in those fields.

Important for business

Machine learning has various implications on industries and businesses. With large sets of databases at their disposal, it gets difficult to manually track the customer’s actions and take decisions. Machine learning allows to sort and filter the data basis different factors and helps in quick analysis and decision making. It also helps in determining the user behaviour- right from their search history to their purchasing behaviour. It also allows the automation of singular tasks and reduces the time involved.

Important for education

Teachers and mentors are required to wear multiple hats- friend, guide, counsellor, diplomat, and others. While there are no computer algorithms to substitute these, but machine learning can reduce and automate some of the tasks. Machines can create individual study plans specific to each student's needs. There are algorithms that can analyse test results, and the teachers can contribute that time to something more significant. They can also detect the academic history of students and determine their knowledge and understanding. All these features help facilitate an advanced teaching and learning environment and further improves the outcome for students. That is why a student can also seek machine learning help now.

Impact on the transport sector

Transport industries are increasingly becoming reliant on machine learning. With the invention of driverless cars, self-driving ships, and others, most of our transport networks might become automated very soon. Further, the transport sector relies on machine learning to collect and analyse data about vehicles,* speed and mileage, road conditions, road accidents, and other critical information.

Impact on skilled and manual labour

The automation of industries and businesses is the most obvious shift of machine learning. The tasks that were once done by trained workers have now become automated and mechanized. They have reduced the time taken to complete the work and also the potential dangers they caused. Supermarkets are also witnessing self-servicing kiosks that make the work automated.

Impact on your home life

Machine learning also impacts the way we communicate and live our lives. There are some impressive advancements in mind-reading technology, smart speakers, voice-activated controls, and virtual assistants like Alexa; machine learning aims to make our lives simple and automated while changing the way we operate the appliances at home.

With the impact of machine learning on almost every industry, we can soon expect the automation of practically every aspect of life. It is increasingly being integrated into different industries and satiating our thirst for data analytics. Hence, it has become crucial to learn machine learning in today’s world and advance your career using automation.

Why Front-End Devs Need to Learn SEO in 2021

Mark Nathon — Tue, 12 Jan 2021 11:25:09 +0000

Hello my fellow Front-End Web Devs, this post is here to tell you about one extra skill you can add to your skillset, SEO. SEO, if you don't know is short for Search Engine Optimization, which is basically the practice of increase the visibility of our website and its pages on search engines. Most of you have definitely heard of it, but if not, here is a small but informative article.

What is SEO?

According to Moz, SEO is the practice of increasing the quantity and quality of traffic to your website through organic search engine results. When we search for something on Google, we get results, and the SEO person has to work on putting their website on those results for relevant queries. This field falls under the digital marketing domain and if you are working in a company, your marketing department is working on that.
However, I would like to mention that SEO has 3 big advantages over any other digital marketing field, It's Free, Sustainable & Relevant. First, we do not need to pay anything to search engines like Google to rank us (but you can put paid ads). Second, the results will stay there for a long time, while even viral media posts lose visibility in a couple of weeks. And third, it is relevant, since your results will only be shown to someone who is searching for it, and if he/she is searching for it, he must be having some intention to get that product/service.

Why do you need to learn it?

Since the digital boom during this coronavirus pandemic, most companies are switching to less staff or freelance small tasks. Especially front end dev get lots of work via freelance sites. Most of the time, front-end devs do not have to care about SEO, either because their company's marketing is not dependant on it, or it is done by some other department already before the work is put on their desk.
But if you know it, you will get to learn the process of how actually SEO works and if the marketing guy needs some help from the web devs department, you will be the person who will stand out. I am telling you to learn everything, I am just talking about the basics.

How to Learn SEO?

Here, I am mentioning some resources that you can check out:
1) Here is a great video by Ahrefs. This is a great introduction to how to do SEO.
2) Here is a great checklist by SEJ. This is great if you already have some basic knowledge of SEO.
3) While there are many courses, most of their education is already available for free to learn, so you can learn it at your own pace. However, I am finding companies giving SEO work to their existing web dev guys, and so, if you want to learn fast via private lesson or any some instant help, here is SEO tutor online, where this company select the best tutor for you, instead of you have to select

What should you learn?
SEO is divided into 3 sections: On-page, Off-page, & Technical SEO. Off-page is not important for us, so leave it. Now it left is On-page, and the knowledge you need is just the basic HTML stuff like headings, anchor, alt text, etc. The only thing you should learn is Keyword Research and how to structure the content for making it easy for Google to scan it. Last but not the least, Technical SEO. Google is now more focused on the technical aspects of websites. Especially with the Core Web Vitals coming soon, SEO people now need more help from front end devs. So, I think you should definitely learn about it.

So, here it is. I think you might start watching the first video now on SEO. Happy Learning!