DEV Community: Naveen Garg

Top 5 GitHub Repositories for Data Science in 2026

Naveen Garg — Sat, 20 Sep 2025 17:52:55 +0000

Are you a data science enthusiast, a seasoned practitioner, or just starting your journey into this exciting field? 🤔

How are you learning? Paid courses? Bootcamps? 📚 Why not kickstart your learning with some of the best free data science resources available online? 🆓

GitHub is a treasure trove for open-source projects, learning resources, and curated data science repositories that can significantly boost your skills.

Here are my top 5 GitHub repositories that will help you master data science, from foundational concepts to hands-on projects. 💻

Remember, it's more important how much you code than how many repositories you know. The key is to apply what you learn!

5. Virgilio 🧠

Presenting a fantastic web-based guide for data science learners.
This repository is a meticulously compiled collection of theoretical resources, perfect for building a solid foundation in data science concepts.

virgili0 / Virgilio

Your new Mentor for Data Science E-Learning.

I've Launched a GenAI Framework that's robust and easy to learn and maintain, check it!

Virgilio is an open-source initiative, aiming to mentor and guide anyone in the world of the Data Science Our vision is to give everyone the chance to get involved in this field, get self-started as a practitioner, gain new skills and learn to navigate through the infinite web of resources and find the ones useful for you.

Find me on Twitter to have a chat!

-----> Meet Virgilio now!

What is Virgilio?

Studying and reading through the Internet means swimming in an infinite jungle of chaotic information, even more so in rapidly changing innovative fields.

Have you ever felt overwhelmed when trying to approach Data Science without a real “path” to follow?

Are you tired of clicking “Run”, “Run”, “Run”.. on a…

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4. Python Data Science Handbook 📖

O'Reilly books are considered the gold standard in the data science community, and they rarely go on sale! 💎
But guess what? This repository contains the complete Python Data Science Handbook along with the code notebooks, making it an invaluable data science learning resource for anyone interested in Python.

jakevdp / PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

Python Data Science Handbook

This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks.

How to Use this Book

Read the book in its entirety online at https://jakevdp.github.io/PythonDataScienceHandbook/
Run the code using the Jupyter notebooks available in this repository's notebooks directory.
Launch executable versions of these notebooks using Google Colab:
Launch a live notebook server with these notebooks using binder:
Buy the printed book through O'Reilly Media

About

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…

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3. Awesome DataScience ✨

Who doesn't love a good cheatsheet? 🤩 This "awesome" repository acts as the ultimate data science cheatsheet, providing a curated list of distributed data, projects, tutorials, and other useful GitHub repositories for all things data science.
It’s the perfect place to find your next project or tutorial!

academic / awesome-datascience

📝 An awesome Data Science repository to learn and apply for real world problems.

^{Special thanks to Sponsors:}

Requestly - Free & Open-Source alternative to Postman

All-in-one platform to Test, Mock and Intercept APIs

AWESOME DATA SCIENCE

An open-source Data Science repository to learn and apply concepts toward solving real- world problems.

This is a shortcut path to start studying Data Science. Just follow the steps to answer the questions, "What is Data Science, and what should I study to learn Data Science?"

Sponsor	Pitch
---	Be the first to sponsor! `github@academic.io`

2. Notebooks for Data Science ✍️

Learning isn't just about reading theory—it’s about writing code!
This repository is a perfect solution, offering a comprehensive collection of data science IPython notebooks filled with hands-on examples and code to help you apply what you've learned.
Get ready to dive deep!

donnemartin / data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-ipython-notebooks

Index

deep-learning

IPython Notebook(s) demonstrating deep learning functionality.

tensor-flow-tutorials

Additional TensorFlow tutorials:

Notebook	Description
tsf-basics	Learn basic operations in TensorFlow, a library for various kinds of perceptual and language understanding tasks from Google.
tsf-linear	Implement linear regression in TensorFlow.
tsf-logistic	Implement logistic regression in TensorFlow.
tsf-nn	Implement nearest neighboars in TensorFlow.
tsf-alex	Implement AlexNet in TensorFlow.
tsf-cnn	Implement convolutional neural networks in TensorFlow.
tsf-mlp	Implement multilayer perceptrons in TensorFlow.
tsf-rnn	Implement recurrent neural networks in TensorFlow.
tsf-gpu	Learn about basic multi-GPU computation in TensorFlow.
tsf-gviz	Learn about graph visualization in TensorFlow.
tsf-lviz	Learn about loss visualization in TensorFlow.

tensor-flow-exercises

Notebook	Description
tsf-not-mnist	Learn simple data curation by creating a pickle with formatted datasets for training, development and testing in

…

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Honorable Mention ⭐
Before we get to the top spot, I want to mention a truly top-class data science resource. It features a huge number of datasets, but it has now moved to its own platform. I highly recommend checking them out for your data science projects! 📊🔍

Data Science Dojo / datasets · Code

Data Sets to Uplift your Skills

code.datasciencedojo.com

1. Microsoft Data Science Repo 🌟

Yes, you read that right! Microsoft has launched its own free data science repository for beginners. 🤩 This is, without a doubt, one of the best free data science courses I have ever found. It includes detailed lectures and code to help you learn and practice from scratch. A must-see for anyone serious about data science career! 🎓

microsoft / Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!

Data Science for Beginners - A Curriculum

Azure Cloud Advocates at Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'.

Hearty thanks to our authors: Jasmine Greenaway, Dmitry Soshnikov, Nitya Narasimhan, Jalen McGee, Jen Looper, Maud Levy, Tiffany Souterre, Christopher Harrison.

🙏 Special thanks 🙏 to our Microsoft Student Ambassador authors, reviewers and content contributors, notably Aaryan Arora, Aditya Garg, Alondra Sanchez, Ankita Singh, Anupam Mishra, Arpita Das, ChhailBihari Dubey, Dibri Nsofor, Dishita Bhasin, Majd Safi, Max Blum, Miguel Correa, Mohamma Iftekher (Iftu) Ebne Jalal, Nawrin Tabassum, Raymond Wangsa Putra…

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Conclusion

So there you have it—my top list of data science repositories that will be incredibly helpful for you to learn and create amazing data science projects.

These resources are fantastic whether you're a beginner or looking to sharpen your skills. 🛠️📊

Based on your experience, which one is your favorite? Let me know in the comments! 👇

This is why your GitHub account could be reducing your chances of getting a job

Naveen Garg — Tue, 02 Sep 2025 08:51:25 +0000

Undoubtedly your GitHub profile is your face of your coding life including your consistency and code experience.

It is undoubtedly meant to improve any recruiter or reader but it can also be a lacking factor because it’s not showing what it should.

It is very important for you to present your github account like a portfolio page displaying all of your achievement and here’s how you do it in simple 7 steps.

Step 1. Make your repo

It all starts with you making a repository on your github profile with the same name as your username on github.

Don’t forget to add a simple add a README file (That’s what will be presented on your profile).

Step 2. Write your Content

Open that README.md file you’ll find a basic set of content already present.

Now it’s your choice whether you want to use that format only or write on your own.

Based on your choice you add some crucial details about yourself.

Interested domain
Skillset
Achievements

Step 3. Add your Graphics

Now it is very important for us to know that human beings are visual creatures with a very large part of our brain dedicated to process the visual cues we get off from our surroundings.

Select a bunch of graphics that resonate with you and your coding lifestyle.

Some important things to add are

Your unique header [I suggest you use Canva or Figma]
A gif that resonate with you Resource to find gifs
A emoji or sticker that you like

Step 4. Talk about your coding life

With the steps above completed you are all set to finally come onto my favourite part which is to display your coding abilities, and other skillset that are enticing for the reader to depend on you.
Whether it’d be a recruiter or your follower.

You can add a bunch of things such as

Your consistency
Your achievements
Your techstack

One important thing to note is that you can add a bit of visual charm even here as well, and yes you heard me right.

You can use a bunch of icons of the techstack to visualise all of them. Even in that you have the choice to select types of the icon.

[![My Skills](https://skillicons.dev/icons?i=js,html,css,wasm)](https://skillicons.dev)

Skill icons are the most popular icons used. I suggest using those who visually distinguish the actions.
I use badges to differentiate.

Choose your type of badges

Step 5: Adding an animation

This is not some mandatory step, it’s something that’s optional but undoubtedly It is the most visually appealing factor of the profile.

It is addition of a workflow. Now what is a workflow you ask? You can say it as a set of instructions you give to Github to make changes onto your profile.

Even I learned it while making my own repo.

You can use it to make your Github contributions a bit more engaging.

You can choose from github showing your consistency to snake eating your contributions they are all fun and they are all done with the workflow.

Here’s how you can set it up.

Make a .github folder
Add a workflows folder under it
Then you create a file in it that shows the purpose with .yaml extension.
Inside it you can add the code based on your selection of the activity

You can find all the widgets in the resource down below

One important tip i’ll give is you also add a permission command under it so that github knows it has your permission to make changes in your README file. Not knowing this wasted my time more than i thought.

Conclusion

And that’s it my friend. If you have done all that then your github profile would be looking something like this.

A display of all your information customised in your style, which should make you stand out from the rest and shows that you know how to do things in Github.

One important resource I have for you guys :
Collection of all things
Some great references

If you have already done that and shined yoru github portfolio do share the link or add the picture in the comment tag. Who knows you end up inspiring whom.

DEV Community: Naveen Garg

Top 5 GitHub Repositories for Data Science in 2026

5. Virgilio 🧠

virgili0 / Virgilio

Your new Mentor for Data Science E-Learning.

I've Launched a GenAI Framework that's robust and easy to learn and maintain, check it!

-----> Meet Virgilio now!

Table of Contents

What is Virgilio?

4. Python Data Science Handbook 📖

jakevdp / PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

Python Data Science Handbook

How to Use this Book

About

3. Awesome DataScience ✨

academic / awesome-datascience

📝 An awesome Data Science repository to learn and apply for real world problems.

Requestly - Free & Open-Source alternative to Postman

AWESOME DATA SCIENCE

Sponsors

Table of Contents

2. Notebooks for Data Science ✍️

donnemartin / data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-ipython-notebooks

Index

deep-learning

tensor-flow-tutorials

tensor-flow-exercises

Data Science Dojo / datasets · Code

1. Microsoft Data Science Repo 🌟

microsoft / Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!

Data Science for Beginners - A Curriculum

Conclusion

This is why your GitHub account could be reducing your chances of getting a job

Step 1. Make your repo

Step 2. Write your Content

Step 3. Add your Graphics

Step 4. Talk about your coding life

Step 5: Adding an animation

Conclusion