#competitiveProgramming

[tutort-academy]

If you're looking to improve your competitive programming and data structures and algorithms (DSA) skills, here are some friendly tips to help you navigate the process effectively.

Understand the Difference: DSA vs CP

When diving into competitive programming and DSA, it's important to recognize the distinction between the two:

- DSA: Focuses on solving real-world problems using programming concepts relevant to computer science. It involves finding suitable solutions for real-world scenarios and implementing them using code.

- Competitive Programming (CP): Often described as a "mind sport," CP involves competing with other coders to solve problems using programming, logic, and analytical skills within a limited time and memory. While DSA can help with real-world problem-solving and job readiness, CP hones problem-solving skills and critical thinking.

Set Your Goal

Define your ultimate goal behind engaging in competitive programming and DSA:

- If you aim to excel in programming interviews and enhance your development skills, focus on honing your problem-solving skills through platforms like LeetCode, GeeksForGeeks, and HackerRank.

- If you're keen on training your brain and improving problem-solving and critical thinking, consider diving into competitive programming to utilize various programming aspects to solve problems efficiently.

Start Gathering Information

Once you've decided on your path, take some time to gather essential resources, including books, roadmaps, YouTube playlists, websites, and advice from experienced individuals. Engaging with those who have prior experience can provide valuable guidance.

Clear Your Fundamentals

Before delving into problem-solving, ensure your fundamentals are solid. This includes:

- Language: Choose a language like C++, Java, or Python, as they are commonly allowed in interviews and can offer efficiency in competitive programming.

- Programming Fundamental*: Brush up on data types, functions, decision-making, and language-specific features to bolster your understanding and problem-solving capabilities.

- Mathematics: Familiarize yourself with concepts such as number theory, modulo arithmetic, prime numbers, and other mathematical principles relevant to problem-solving.

Start with Baby Steps

Take a gradual approach to problem-solving, understanding that it's a learning process. Embrace challenges and setbacks, and allow yourself time to grasp and solve problems effectively.

Document Your Progress

Maintain a record of your learning journey, including problems you've solved and the approaches used. This documentation can help identify patterns and improve your problem-solving strategies over time.

Don't Beat Yourself Up

Remember to take breaks and engage in activities outside of programming to avoid burnout. It's okay to encounter challenges; perseverance and learning from setbacks are central to growth in competitive programming and DSA.

By following these tips, you can embark on your competitive programming and DSA journey with a clearer understanding and a friendlier approach to learning and improvement.

Good luck!

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[itlabour]

Subarray Max Sum Kadane’s Algorithm - Fastest Way to Solve!

The Subarray Max Sum Kadane’s Algorithm is one of the most essential DSA concepts, widely asked in coding interviews, including FAANG and top tech companies. In this video, we will break down Problem 53: Subarray Max Sum using Kadane’s Algorithm, making it super easy to understand! 🚀

You’ll learn: ✔️ How Kadane’s Algorithm works in O(n) time complexity. ✔️ The most optimal approach to solve the Subarray Max Sum DSA problem. ✔️ Common mistakes to avoid in coding interviews. ✔️ A step-by-step breakdown with real code examples in C++ and Python.

By the end of this video, you’ll have a clear understanding of Kadane’s Algorithm, and you'll be able to tackle similar dynamic programming problems with ease! 🎯

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[hadismalekie]

http://instagram.com/hadismalekie

[poorv-codes]

Competitive Programming for Beginners

[obsessedwithrainbows]

You solve it when? You solve it then. If you don’t solve in time, it’s all in vain.

a Programmer 

[codingoverload]

Check out this post about competitive programming, and some resources you can use to teach it.

[scaleracademy]

With a vision to change the landscape of the tech-education industry, founder Anshuman Singh talks about how he & co-founder Abhimanyu Saxena left their high-paying jobs to create a free online platform for software engineers to practice on coding problems, and also their journey into launching Scaler Academy with the hope of building a successful programming community.

[aryan12o-blog]

✔ DSA Problem -01: Check if string is rotated by two places 🔥 Follow for more 🚀🌍💥 @coding.aryan . #programming #html #computerscience #compsci #code #programmers #algorithms #datastructure #datastructures #artificialintelligence #competitiveprogramming #java #python #html5 #expressjs #github #javascript #coding #softwaredeveloper #learntocode #codingtips #codingisfun #codingfun #learnprogramming #csharp #sql #sqlserver #dsa #algo https://www.instagram.com/p/ClbYlNhSDjO/?igshid=NGJjMDIxMWI=

[fortunatelycoldengineer]

Which data structure is used to perform recursion? . . . . visit: https://bit.ly/3uWK72s for more questions like this

[tutort-academy]

Competitive programming usually refers to solving well-defined problems by writing programs under specified limits. Steps to improve your competitive coding skills:https://tutort-academy.medium.com/steps-to-improve-your...

[digitalwebservices]

Competitive Programming Guide

[go-classes]

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[codingoverload]

I decided that how to prepare students for programming competitions would be a very interesting topic. It’s definitely a rarer situation, but I have taught a few students who were primarily focused on programming competitions. I will also be discussing some resources for teaching competitive programming classes.