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Here's how you can advance your career in algorithms.

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Algorithms are the backbone of modern computing, essential for solving complex problems efficiently. As technology evolves, so does the demand for skilled professionals adept in algorithms. Whether you're a software developer, data scientist, or computer engineer, enhancing your algorithmic skills can open doors to exciting career opportunities and advancements. By understanding and implementing advanced algorithms, you can optimize processes, develop innovative solutions, and stand out in the tech industry.

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Ali Msayleb

Senior Backend Engineer at Chess.com

1 Master Basics

Before diving into advanced concepts, ensure your foundation is solid. Grasp the essentials of algorithms, such as sorting and searching techniques, recursion, and data structures like arrays, linked lists, and trees. Understanding these basics is crucial as they are the building blocks for more complex algorithms. Practice implementing these fundamentals in a programming language you're comfortable with, and challenge yourself with problems that require these core concepts.

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Ali Msayleb

Senior Backend Engineer at Chess.com
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Find a list of the most common algorithms in programming and read about them, do your best to understand them and look for examples (educational examples as well as real life examples) Then start writing code using those algorithms

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2 Learn Complexity

An understanding of Big O notation is vital in advancing your algorithm skills. It represents the efficiency of an algorithm in terms of time (execution time) and space (memory usage) as the input size grows. By knowing how to calculate and reduce the Big O complexity of algorithms, you can write more efficient code, a key skill that employers look for. Practice analyzing different algorithms to understand their complexity and work on optimizing them.

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3 Explore Fields

Algorithms are not one-size-fits-all; they vary across different fields such as artificial intelligence (AI), machine learning (ML), and cryptography. Explore these domains to see where your interest lies. For instance, if AI fascinates you, delve into algorithms like A* for pathfinding or convolutional neural networks for image recognition. Each field has its unique set of algorithms, and specializing can make you a valuable asset in that niche.

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4 Contribute Openly

Engage with the community by contributing to open-source projects or sharing your own projects on platforms like GitHub. This not only showcases your skills to potential employers but also allows you to collaborate and learn from others. Reviewing code from peers and having yours reviewed in turn can provide new insights and help improve your coding practices. Open-source contributions reflect your passion and commitment to growing in the field of algorithms.

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Ali Msayleb

Senior Backend Engineer at Chess.com
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Hackerrank, leetcode, and many other platforms offer hundreds of free problems for you to solve, and when it comes to algorithms and problem solving, the more you solve the more it becomes intuitive and easier to go about

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5 Compete Regularly

Participating in coding competitions like Codeforces or HackerRank can sharpen your algorithmic problem-solving skills. These platforms offer a wide range of challenges that test your ability to apply algorithms under time constraints. Regular participation can help you think faster and more efficiently, and ranking well in these competitions can be a strong addition to your resume, demonstrating your proficiency in algorithms to potential employers.

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Ali Msayleb

Senior Backend Engineer at Chess.com
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Algorithms competitions such as google hash code and google kick start and ICPC are what got me into algorithms, problem solving, and competitive programming. So finding these kind of competitions and competing in them is a ton of fun as well as motivation to enhance your algorithms skills

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6 Stay Updated

The field of algorithms is ever-evolving, so it's important to stay updated with the latest trends and breakthroughs. Follow relevant blogs, subscribe to tech publications, and join forums where algorithm enthusiasts discuss new developments. Continuous learning is key in the tech industry; by staying informed, you can apply the latest techniques and maintain a competitive edge in your career.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Ali Msayleb

Senior Backend Engineer at Chess.com
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It's highly important to note that algorithms are tightly connected to data structures, so in order to master algorithms you need to have a deep understanding of different common data structures such as stacks queues linked lists trees and others

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Here's how you can advance your career in algorithms.

1

2

3

4

5

6

7

1 Master Basics

2 Learn Complexity

3 Explore Fields

4 Contribute Openly

5 Compete Regularly

6 Stay Updated

7 Here’s what else to consider

Algorithms

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Here's how you can advance your career in algorithms.

1

2

3

4

5

6

7

1 Master Basics

2 Learn Complexity

3 Explore Fields

4 Contribute Openly

5 Compete Regularly

6 Stay Updated

7 Here’s what else to consider

Algorithms

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