mGalarnyk/Python_Tutorials
mGalarnyk/Python_Tutorials has 1,272 GitHub stars and 1,137 forks. GitHot measured 0 stars in 24 hours and 0 in 7 days. Last checked 2026-11-14 09:50 UTC. Last push 2026-10-31.
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Über uns
Python tutorials in both Jupyter Notebook and youtube format.
LernenREADME.md
OriginalPython, Machine Learning, and AI (LLM) Tutorials
Useful Python and Machine Learning Tutorials. Feel free to submit a pull request. Also please subscribe to my youtube channel!
Apis
| What is it? | Blog Post/Jupyter Notebook | Youtube Video |
|---|---|---|
| Fitbit API Tutorial | Blog Post | None |
| Twitter API Tutorial | Blog Post | None |
Basics
Finance
| What is it? | Blog Post/IPython Notebook | Youtube Video |
|---|---|---|
| Understanding Car Loans with Python | Understanding Car Loans with Python | Coming Soon |
| Understanding Home Loans with Python | Coming Soon | Coming Soon |
Gradient Boosting
| What is it? | Blog Post/Jupyter Notebook | Youtube Video |
|---|---|---|
| How to Speed Up XGBoost Model Training | Speed Up XGBoost Model Training | None |
Natural Language Processing
| What is it? | Blog Post/Jupyter Notebook | Youtube Video |
|---|---|---|
| LoRA and QLoRA with Flyte and vLLM | LoRA and QLoRA with Flyte and vLLM | Coming Soon |
Pandas
| Domain | Blog Post/IPython Notebook | Youtube Video |
|---|---|---|
| Boxplots using Matplotlib, Pandas, and Seaborn Libraries | Understanding Boxplots | Youtube Video |
| Data Manipulation with Pandas | Data Manipulation with Pandas | Youtube Video |
| Heatmaps Part 1 | Heatmaps Part 1 | Youtube Video |
| Heatmaps Part 2 | Heatmaps Part 2 | Youtube Video |
| How to Speed Up Pandas with Modin | How to Speed Up Pandas with Modin | None |
| Time Series Part 1 | Time Series Data Basics with Pandas Part 1 | Youtube Video |
| Time Series Part 2 | Time Series Data Basics with Pandas Part 2 | Youtube Video |
Parallel and Distributed Python
| What is it? | Blog Post/Jupyter Notebook | Youtube Video |
|---|---|---|
| Common options for Parallelizing Python Code | Blog Post | None |
| Writing your First Distributed Python Application with Ray | Blog Post | None |
PyTorch
| What is it? | Blog Post/Jupyter Notebook | Youtube Video |
|---|---|---|
| Getting Started with Distributed Machine Learning with PyTorch and Ray | Blog Post | None |
| Getting Started With Ray Lightning: Easy Multi-Node PyTorch Lightning Training | Blog Post | None |
Reinforcement Learning
| What is it? | Blog Post/Jupyter Notebook | Youtube Video |
|---|---|---|
| An Introduction to Reinforcement Learning with OpenAI Gym, RLlib, and Google Colab | Blog Post | None |
Scrapy
| What is it? | Blog Post | Youtube Video |
|---|---|---|
| Scraping Fundrazr (GoFundMe/Kickstarter like Website) | Step by Step Instructions | Scraping a Crowdfunding Website |
Sklearn (Scikit-Learn)
Spark (Python)
| Tutorial | IPython Notebook | Youtube Video |
|---|---|---|
| Word Count | Word Count using PySpark | Word Count using PySpark |
Statistics
| What is it? | Blog Post/Jupyter Notebook | Youtube Video |
|---|---|---|
| 68-95-99.7 rule for a Normal Distribution | Blog Post/Jupyter Notebook | None |
| Confidence Intervals | Coming Soon | Coming Soon |
| Understanding Boxplots | Blog Post | None |
| Understanding Sampling With and Without Replacement (Python) | Blog Post/Jupyter Notebook | None |
Synthetic Data
| What is it? | Blog Post/Jupyter Notebook | Youtube Video |
|---|---|---|
| The Value of Synthetic Data | TBA | Video |
| Synthetic Data for Edge Cases | TBA | Video |
Visualization
| What is it? | Blog Post/Jupyter Notebook | Youtube Video |
|---|---|---|
| Data Visualization with Matplotlib and Seaborn | Data Visualization with Matplotlib and Seaborn | Youtube Video |
Other Python Resources
| What is it? | Repo/Website | Youtube Video |
|---|---|---|
| Installations (Anaconda, Spark Etc) | General Installations | See the link for more installations. |
Contributors
| FirstName | LastName |
|---|---|
| Michael | Galarnyk |
| Submit | Pull Request |
License
Anyone may contribute to our project. Submit a pull request or raise an issue.
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