Don't forget to hit the :star: if you like this repo. # Python Practice Resources ## Python: E-book | Title | Link | | ----- | :------: | | **Python for Data Analysis, 3E**. By: Wes McKinney | | | **DevFreeBooks** | | ## Python: Cheatsheet | Title | Link | | ----- | :------: | | **Python For Data Science: Basic, Jupyter Notebook, NumPy, SciPy - Linear Algebra, Pandas, Scikit-Learn, Matplotlib, Seaborn, Bokeh**. By: DataCamp | | | **Pandas** | | | **Python Notes/Cheat Sheet**. By: @Mark_Graph | | | **Python Cheat Sheet**. By: WebsiteSetup.org | | | **Matplotlib Cheatsheets**. By: Matplotlib Development Team | | | **Python: 8 Amazing snippet** | | ## :octocat: Amazing Github repos for Data Science! Learn skills or discover useful resources with these repositories. | Title | GitHub | | ----- | :------: | | **Data-scientist-roadmap**. By: MrMimic | [:octocat:](https://github.com/MrMimic/data-scientist-roadmap) | | **Data Science Resources**. By: jb | [:octocat:](https://github.com/jonathan-bower/DataScienceResources) | | **Awesome Data Science** By: Fatih Aktürk, Hüseyin Mert & Osman Ungur, Recep Erol. | [:octocat:](https://github.com/academic/awesome-datascience)| | **Data Science Interviews:** Prepare for your upcoming interview with this repository of questions | [:octocat:](https://github.com/alexeygrigorev/data-science-interviews)| | **ML for Beginners by Microsoft**: Learn machine learning with Microsoft’s hands-on curriculum | [:octocat:](https://github.com/microsoft/ML-For-Beginners)| | **Deep Learning Drizzle**: Find top universities’ publicly available deep learning classes | [:octocat:](https://github.com/kmario23/deep-learning-drizzle) | | **Awesome Machine Learning**: Discover machine learning tools and resources for beginners and advanced practitioners alike | [:octocat:](https://github.com/josephmisiti/awesome-machine-learning) | | **500 ML Projects with code** | [:octocat:](https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code) | | **All algorithms implemented in Python** By: The Algorithms | [:octocat:](https://github.com/TheAlgorithms/Python) | | **Data Science Best Resources.** By: Tirthajyoti Sarkar | [:octocat:](https://github.com/tirthajyoti/Data-science-best-resources/blob/master/README.md) | | **Learn Python 3** By: Jerry Pussinen | [:octocat:](https://github.com/jerry-git/learn-python3) | | **Machine Learning Bookcamp** By: alexeygrigorev | [:octocat:](https://github.com/alexeygrigorev/mlbookcamp-code) | | Unleashing the power of geospatial data: 20 python libraries transforming location-based services & beyond | | | Top 20 Pandas Functions for 80% of Your Data Science Tasks| | ## Others - [The only Performance Metrics article you will ever need!](https://medium.com/@MLdebanjan/the-only-performance-metrics-article-you-will-ever-need-135cf5e693e2) - [Analysing Data with ChatGPT (Data Analysis and ML)](https://youtu.be/Dw0irOIJYnA) - [ChatGPT: Use Case 1 - Generating Datasets](https://github.com/drshahizan/python-tutorial/blob/main/cheatsheet/ChatGPT_Use_Case_1_Generating_Datasets.pdf) ## Dataset - [Awesome Public Datasets](https://github.com/awesomedata/awesome-public-datasets) - [Portal Data Terbuka Malaysia](https://www.data.gov.my/data/ms_MY/dataset) - [Department of Statistics Malaysia](https://www.dosm.gov.my/v1/index.php?r=column3/accordion&menu_id=amZNeW9vTXRydTFwTXAxSmdDL1J4dz09) - [data.world](https://data.world/datasets/malaysia) - [Dataportal.asia](https://dataportal.asia/dataset?vocab_economy_names=Malaysia) - [knoema](https://knoema.com/atlas/Malaysia/datasets) - [The World Bank](https://data.worldbank.org/country/MY) - [Dataset Search - Google](https://datasetsearch.research.google.com/) - [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets.php) - [Kaggle datasets](https://www.kaggle.com/datasets) - [Awesome-public-datasets](https://github.com/awesomedata/awesome-public-datasets) - [Datahub.io](https://datahub.io/collections) - [Earthdata](https://www.earthdata.nasa.gov/) - [CERN Open Data Portal](http://opendata.cern.ch/) ## Contribution 🛠️ Please create an [Issue](https://github.com/drshahizan/python-tutorial/issues) for any improvements, suggestions or errors in the content. You can also contact me using [Linkedin](https://www.linkedin.com/in/drshahizan/) for any other queries or feedback. [](https://visitorbadge.io/status?path=https%3A%2F%2Fgithub.com%2Fdrshahizan)