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Welcome to a treasure trove of Python programming expertise, data science mastery, and essential survival skills for navigating the dynamic world of programming. Dive into the depths of this repository to unlock the knowledge and tools you need to thrive in your coding journey.
This repository isn't just a collection of code snippets; it's a comprehensive resource designed to empower learners and professionals alike. Whether you're a novice exploring the fundamentals of Python, a data enthusiast delving into the intricacies of data science, or a seasoned developer honing your craft, you'll find invaluable insights and guidance here.
Python Proficiency: Elevate your Python skills from beginner to advanced levels with our curated tutorials, exercises, and real-world examples. Data Science Expertise: Harness the power of data with our in-depth guides, projects, and best practices in data analysis, machine learning, and beyond. Survival Toolkit: Navigate the complexities of the programming world with confidence, thanks to our tips, tricks, and advice on career development, productivity, and staying ahead of the curve.
Comprehensive Learning: Whether you're starting your journey or aiming for mastery, our repository provides the resources you need to succeed. Community Support: Join a vibrant community of learners, mentors, and experts passionate about sharing knowledge and helping each other grow. Practical Application: From theory to practice, our hands-on approach ensures that you understand concepts and how to apply them effectively in real-world scenarios. Get Involved
Ready to embark on your Python journey? Explore our repository, contribute your expertise, and connect with fellow enthusiasts. Together, we'll sharpen our skills, unravel the mysteries of programming, and unlock new opportunities in the ever-evolving tech landscape.
The Python Mastery Repository is more than just a repository; it's a gateway to endless possibilities. Start your exploration today and discover the boundless potential of Python programming, data science, and beyond.
Feel free to use this introduction for your GitHub repository!
Below are some tools that you can download before getting started with Python, now it’s a preference, so download whichever that fits the best for you.
Name of the tools |
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Python download |
Visual Studio Code |
Jupyter Notebook |
Google Colab |
I use Google Colab for Python programming. It's one of the best interactive tools in the world. I like it because I can provide more documentation to the code and write some quality tutorials.
Follow the steps down below to get started coding in Python!!!
Chapter 1️⃣ ⮕ Basic Concepts
Chapter 2️⃣ ⮕ Built-in Functions
Chapter 3️⃣ ⮕ Libraries
Chapter 4️⃣ ⮕ API's
Chapter 5️⃣ ⮕ Additional Materials
Chapter 6️⃣ ⮕ Exercises
Chapter 8️⃣ ⮕ Interview Preparation
👉 Expand and Collapse the above Chapters for more details
Follow the steps below to get started learning Data Science!!!
Data Exploration
Data Scraping from the Web
I Tanu Nanda Prabhu, always like simplifying complex things so that others can understand them more easily and better. Researching is my passion, I go through a ton of videos, articles, and tutorials and conclude starting a repository that purely contains tips and tricks for using Google Sheets. I update this repository every week with tons of information that will make your life simple. I am also seeking help from people who want to contribute to my repository. Feel free to Fork it and add updates, I will consider it.
If the jupyter notebook doesn't load. Don't worry copy and paste the link to nbviewer. Because most of my jupyter notebooks are not loading.
Want to know, how I did this. Refer here for the docs
If you have access to ChatGPT premium, there is a GPT Librarian with access to all files here here
Contact | Info |
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Gmail | [email protected] |
Tanu N Prabhu | |
tanunprabhu | |
Tanu Nanda Prabhu |
Below given are some of the reviews about this Python GitHub Repository:
Elin Uppström - Senior Lecturer at Uppsala University, Sweden.
I found your excellent exercises at your GitHub wile preparing undergraduate course in data analysis. I want to use it in my course.
Cole Striler - Data Scientist, Founder of Datafied
I came across your GitHub and love your Jupyter Notebooks, especially the one on "Predicting PewDiePie's daily subscribers". I think you do a great job at explaining your work which is something others can learn.
Laurence Watson - Co-Founder & CEO, Treebeard
You have a lot of great Jupyter notebook content on GitHub.
Poonam Gupta - Math & AP Computer Science Instructor, Brunswick School
Thank you so much for posting such helpful posts on GitHub.Many, many thanks for all you do to spread the knowledge.
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Version 15 - Last Updated on July 01, 2024 - 8:55 PM