Welcome to the Leetcode Preparation Guide repository! This collection is designed to assist you in preparing for SQL and Python interviews, covering a wide range of topics from Leetcode.
- Introduction
- SQL Interview Preparation
- Python Interview Preparation
- Data Structures and Algorithms in Python
- How to Use This Repository
- Contributing
- License
This repository is a comprehensive guide for interview preparation, focusing on SQL and Python. Whether you are gearing up for a technical interview or simply want to enhance your coding skills, this guide aims to help you succeed.
The SQL section includes a collection of Leetcode questions that cover various SQL concepts, helping you practice and master your SQL skills for interviews.
In the Python section, you will find a range of interview questions covering both basic and advanced Python topics. This section aims to prepare you thoroughly for Python-centric interviews.
This part of the guide dives into data structures and algorithms using Python. It covers a broad spectrum of problems to help you refine your problem-solving skills.
- TBD
Feel free to navigate through the different directories for SQL and Python interview questions. Each problem includes a detailed solution in Python, explaining the approach and providing code snippets.
Clone the repository to your local machine:
git clone https://github.com/Praveen76/Leetcode-Preparation-Guide.gitBrowse the directories, pick the topics you want to focus on, and start practicing!
Contributions are welcome! If you have additional questions, solutions, or improvements, please feel free to submit a pull request. Let's make this guide a valuable resource for everyone.
This repository is licensed under the MIT License. Feel free to use, modify, and share the content, but make sure to provide proper attribution.
Happy coding and best of luck with your data science interviews!
I’m a seasoned Data Scientist and founder of TowardsMachineLearning.Org. I've worked on various Machine Learning, NLP, and cutting-edge deep learning frameworks to solve numerous business problems.
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