Welcome to my DSA (Data Structures and Algorithms) learning journey! This readme file serves as a guide to document my progress as I dive into the world of DSA using Python and C++. My ultimate goal is to enhance my skills and land a rewarding software developer job.
The primary purpose of this repository is to track my progress and showcase the knowledge and projects I develop along the way. By focusing on both the basics and advanced concepts of DSA, I aim to build a strong foundation that will be valuable in technical interviews and real-world software development scenarios.
I'll be primarily using Python and C++ for implementing and practicing DSA. These languages are widely used in the industry and are crucial for any software developer. Additionally, I believe mastering both will give me a well-rounded skill set.
- /DataStructure: This directory will contain both Python and C++ implementations of various data structures and algorithms.
- /projects: As I progress, I plan to undertake small projects that apply DSA concepts. These will be stored in this directory.
I'll set milestones to track my progress and achievements. Each milestone will represent a significant step forward in my DSA journey.
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Basic Data Structures Mastery: Understand and implement fundamental data structures such as arrays, linked lists, stacks, and queues in both Python and C++.
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Algorithm Proficiency: Develop a strong grasp of core algorithms like sorting, searching, and recursion.
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Advanced Data Structures Exploration: Dive into more complex data structures like trees, graphs, and hash tables, implementing them in both Python and C++.
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Problem Solving Practice: Regularly participate in coding challenges on platforms like LeetCode and HackerRank to strengthen problem-solving skills.
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Real-World Applications: Apply DSA concepts to real-world scenarios by working on small projects that solve practical problems.
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Interview Preparation: Specifically focus on DSA topics commonly asked in technical interviews. Mock interviews and whiteboard coding exercises will be crucial.
Feel free to fork this repository and contribute your insights, corrections, or suggestions. I appreciate the support and collaboration in this learning journey.
Let's code and learn together!
Happy coding! 🚀