DEV Community: Adarsh Raj

How to use ChatGPT effectively.

Adarsh Raj — Tue, 14 Feb 2023 14:17:47 +0000

As an AI language model, ChatGPT has a wide range of capabilities and can provide helpful tips and tricks for various use cases. Here are some tips and tricks for getting the most out of ChatGPT:

Be clear and specific: When asking a question or making a request, be as clear and specific as possible. The more information you provide, the better ChatGPT can understand and respond to your request.

Use natural language: ChatGPT is designed to understand and respond to natural language. Avoid using overly technical or formal language, as this can make it harder for ChatGPT to understand your request.

Provide context: Whenever possible, provide context for your question or request. This can help ChatGPT understand the purpose of your question and provide a more accurate response.

Be patient: ChatGPT is a powerful AI model, but it may take some time to process your request and provide a response. Be patient and give it time to think before expecting a response.

Ask follow-up questions: If you need more information or clarification, don't hesitate to ask follow-up questions. ChatGPT is designed to have a conversation and can provide more information as needed.

Use prompts: ChatGPT can provide suggestions and prompts to help guide the conversation. If you're not sure what to ask or say, try using one of the prompts provided.

Use the right format: ChatGPT can work with different formats such as text, audio, or image. Be mindful of the format you're using to ensure the best results.

Experiment with different inputs: ChatGPT can handle a wide range of inputs and can be trained on specific topics. Try experimenting with different inputs to see what works best for your specific use case.

By following these tips and tricks, you can get the most out of ChatGPT and enjoy a more productive and engaging conversation.

What would be a 3 months road map to learn data structures and algorithm ?

Adarsh Raj — Mon, 31 Oct 2022 19:54:45 +0000

Start From Basic

Learn about basic Data Structure , e.g:- Linked List, Stack, Queue, Tree,Graph , Map(C++ STL).

Data Structures - GeeksforGeeks is enough for learning about these Data Structure.

Implement them by your self (in your favorite language, it will help you to understand them well and also learn about time complexity more clearer)

So it will take around 10 - 15 days to learn about basic Data Structure deeply.
Now start learning about ALGO. For Algorithm i will suggest CLRS book.
Topcoder Tutorial, Codeforces Tutorial and you can find many awesome blog online doing just Google Search.
Learn from there also.
For each topic (Algorithm which you learn ), start solving problem on codechef , hackerrank, Codeforces. (It will make you perfect). While practicing read problem description slowly , think about solution, give enough time to think , implement. If you solved (Just read other person solution , it will just increase your thinking ability, give you new ways to solve problem).
If not able to solve , than don't worry , read other person solution. and understand that, Maybe some time it will be hard to understand , just use pan and paper and try to understand each line of code , what it is doing. It will help you alot.
If you programming enthu, than do much coding otherwise for learning you can just solve some problem for your better understanding. (Practice Make A Man Perfect.)

Go to Advance.
Advance Data Structure (Segment Tree, BIT, Tries, Suffix Tree, Suffix Array,Advance Graph Theory)

Again read form GeeksForGeek.

Topcoder Tutorial(recommended).

Read Blog(just google search Topic, you will find top university lecture ppt or top blog).

Again Solve problem on various online judges Topcoder , Coderforces, Codechef etc.

Also learn all about DS and Algo via Topcoder + Google Search and solve problem on Spoj, Codechef, hackerrank etc.

For coding people read library (like in C++, STL).

It will make your life easy. Rest you can find on google about STL

ALL THE BEST😉

How many programming languages should one learn?

Adarsh Raj — Thu, 27 Oct 2022 13:59:07 +0000

You should learn all of them.

One time I seen a job post that required a person to know php, python, java, ruby, C++, JavaScript, Objective-C, .Net, and COBOL.

To your point, I am highly doubtful that any one job would require you to simultaneously use so many languages. It was probably a lazy copy/paste or very poorly written job posting.

Over the years, I have learned and worked with all of those languages and am quite proficient in many, except COBOL--which I have never even encountered because it was before my time.

When I studied Computer Science at UC Berkeley, I remembered the professor for the Intro to Programming class telling a lecture hall with 300+ students that they don't teach programming languages at UC Berkeley because they expect anyone who understands the fundamentals to be able to pick up any programming language over a weekend and start running with it.

Learn all of the ones that are immediately useful to you to the point that you can become "conversationally fluent" in them.

In the OP's question details, a choice seems to be between mobile vs web, when in reality, the world of software engineering is much broader than that, i.e. the choice isn't between A or B, but A ... Z of possibilities. I had someone recently ask me how to decide between machine learning and computer security.

Here is a (non-exhaustive) list of sub-disciplines within computer science that I can think of, and some of their related programming languages:

Embedded devices - C
Mobile - iOS (Mac OS X, iPhone, iPad, Apple Watch) - Objective C, Swift
Mobile - Android - Java
Financial systems engineering - Java and C++
Ecommerce - Java
Computer Graphics (Rendering) / Gaming - C++, Unity
Computer Graphics (Vision) - ?
Data Science / Machine Learning - Python, R
Web (Backend) - too many to choose from; really depends on the shop you're working at and the stack they're already using.
Python + Django | Pylons | Flask
Ruby + Rails
JavaScript + NodeJS
C# + .Net
PHP + Laravel | CakePHP | Symphony
Databases - SQL (know ANSI SQL, and some of the tradeoffs between MySQL and PostgreSQL)
Web (Frontend) - HTML(5), CSS(3), JavaScript + a ton of JS libs
General - Unix Shell Scripting, Bash
Computer Music - ChucK
The above list is just barely scratching the surface, but hopefully is beneficial enough to the point that the reader can get started.