https://github.com/creativepurus/dsa-python
🌟 This repository is your one-stop destination for everything related to Data Structures and Algorithms (DSA) using Python.
https://github.com/creativepurus/dsa-python
Last synced: 2 months ago
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🌟 This repository is your one-stop destination for everything related to Data Structures and Algorithms (DSA) using Python.
- Host: GitHub
- URL: https://github.com/creativepurus/dsa-python
- Owner: creativepurus
- License: cc0-1.0
- Created: 2023-06-19T00:30:47.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-06-25T15:45:44.000Z (almost 2 years ago)
- Last Synced: 2025-03-19T17:48:49.098Z (3 months ago)
- Language: Jupyter Notebook
- Homepage: https://github.com/creativepuru/DSA-Python
- Size: 68.4 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
> [](https://github.com/creativepuru "Purushottam Anand 🇮🇳 on GitHub ☕")
[](https://github.com/creativepuru/DSA-Python)
[](https://github.com/creativepuru)
# 📚 Table of Contents
### 🔰 [ABOUT](#about)
### 💻 [GETTING STARTED](#getting-started)
### 🔰 [DESCRIPTION](#description)
### 📣 [CONTRIBUTIONS 🤝](#feedback--contributions)
### 📲 [SOCIAL LINKS 💻](#social-links)
### 📖 [LICENSE](#license)
### 👉🏻 [BMC ☕](#support-my-work)
# ABOUT
### This repository is dedicated to sharing codes and information related to ``` Data Structures and Algorithms (DSA)``` using Python.
### Whether you're a beginner looking to learn the fundamentals or an experienced programmer seeking to brush up on your skills, this repository aims to provide you with valuable resources to enhance your DSA skills.
### Let's dive into the world of efficient algorithms and data structures together! 💪🚀
### ✨ What to Expect ✨
💡 ```Comprehensive code examples``` :
- Dive into a treasure trove of well-commented code snippets covering various DSA concepts, from linked lists to sorting algorithms.
📚 ```In-depth explanations``` :
- Understand the underlying principles behind each data structure and algorithm with detailed explanations and visualizations.
🌟 ```Real-world applications``` :
- Discover how DSA concepts are applied in practical scenarios, enabling you to develop efficient solutions for real-world problems.
🌐 ```Collaborative learning``` :
- Join a vibrant community of learners, where you can share your ideas, ask questions, and collaborate on DSA challenges.
# Getting Started
Ready to embark on your DSA journey? Follow these simple steps to get started:
1️⃣ Clone the repository :
```
git clone https://github.com/your-username/DSA-Python.git
```
2️⃣ Install Python :
- Make sure you have Python installed on your machine. Visit python.org to download and install the latest version.
3️⃣ Explore the code :
- Browse through the repository's directories to explore different DSA topics. Each topic contains code files and accompanying explanations.
4️⃣ Run the code :
- Use your preferred Python IDE or execute the code files directly from the command line to see the algorithms in action.
5️⃣ Learn and contribute :
- Dive into the code, experiment, and enhance your understanding of DSA. Feel free to contribute your own code or suggest improvements through pull requests!
# Description
### ✨ Data Structures and Algorithms are the building blocks of efficient programming. They empower you to create optimized solutions, improve performance, and tackle complex problems with ease.
### ✨ In this repository, we provide a comprehensive collection of DSA implementations in Python, accompanied by clear explanations and real-world use cases.
### 👉🏻 Here's what you can expect from this repository:
1️⃣ Data Structures :
- Explore a wide range of data structures such as arrays, linked lists, stacks, queues, trees, heaps, graphs, and more. Each data structure comes with well-documented code and explanations to help you grasp their purpose, operations, and time complexities.
2️⃣ Algorithms :
- Delve into various algorithms including searching, sorting, traversal, recursion, dynamic programming, and greedy techniques. With our code examples and step-by-step breakdowns, you'll develop a solid understanding of algorithmic problem-solving.
3️⃣ Practical Use Cases :
- Discover how data structures and algorithms are applied in real-world scenarios. From optimizing search algorithms for large datasets to finding the shortest path in a network, these practical examples will equip you with problem-solving skills applicable to a wide range of domains.
4️⃣ Community Collaboration :
- Join our community of learners, enthusiasts, and experienced programmers. Contribute your own code implementations, share your insights, and engage in discussions to foster a collaborative learning environment.
# Feedback & Contributions
### If you have any suggestions for improving the code or adding new notebooks, feel free to submit a pull request. We welcome contributions from the community.
- Fork the project
- Create a new branch (git checkout -b feature/awesome-feature)
- Make your changes and commit them (git commit -am 'Add an awesome feature')
- Push to the branch (git push origin feature/awesome-feature)
- Create a pull request
# Social Links
[](https://openinapp.co/connect-on-linkedin-puru "Purushottam Anand's LinkedIn Profile")
[](https://openinapp.co/gmailpuru "Gmail - use Desktop / Laptop to open Gmail")
[](https://openinapp.co/githubpuru "Purushottam Anand's GitHub Page")
# Let's learn and grow together
- 🤖 We believe that the future belongs to those who master these skills, and we're excited to be a part of your journey.
- 💪 Feel free to connect with me on [LinkedIn](https://openinapp.co/linkedinpuru "Purushottam Anand on Linkedin") and never miss out on these valuable resources! 🚀
- 🌟 Let's embark on this exciting journey of mastering DSA with Python!
### Happy coding! 🚀💻
# License
### My [DSA-Python repository](https://github.com/creativepuru/DSA-Python) is licensed under the [Creative Commons Zero v1.0 Universal](https://github.com/creativepuru/DSA-Python/blob/main/LICENSE.txt) License.
- See [LICENSE](https://github.com/creativepuru/DSA-Python/blob/main/LICENSE.txt) for more information.
## SUPPORT MY WORK
### ❤️ Thank you for visiting my repository, and happy exploring 🤗
### [](https://www.buymeacoffee.com/creativepuru)
