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This resource list contains 47 carefully curated cheat sheets, documentation, tutorials, and references that cover a wide range of topics relevant to data science, machine learning, and software development. Whether you're a beginner or an experienced practitioner, you'll find something valuable here to help you enhance your skills, streamline your workflow, and stay up-to-date with the latest technologies and best practices. The list includes popular programming languages such as Python and R, data processing and visualization tools like Pandas, NumPy, Matplotlib, and Seaborn, as well as machine learning frameworks like TensorFlow, Keras, PyTorch, and Scikit-learn. You'll also find resources related to databases (SQL, PostgreSQL, MySQL, MongoDB), cloud computing platforms (AWS, Azure, Google Cloud), containerization technologies (Docker, Kubernetes), web development frameworks (Flask, Django), and mathematical foundations (calculus, linear algebra, probability). Additionally, there are cheat sheets and documentation related to NLP, neural networks, deep learning, Apache Spark, Hadoop, regular expressions, and Unix/Linux permissions. Finally, there are references to OpenAI's GPT-3 technology, including cheat sheets and documentation, as well as a cheat sheet for the ChatGPT language model.
- Python : https://lnkd.in/grD8XUS6
- Pandas : https://lnkd.in/g4yTJ7CP
- NumPy : https://lnkd.in/gg9Uw-km
- Matplotlib https://lnkd.in/gahrGicD
- Seaborn https://lnkd.in/gcu4UKpw
- Scikit-learn https://lnkd.in/gGfkNu5i
- TensorFlow : https://lnkd.in/g3fw3uRV
- Keras : https://lnkd.in/gfPTfbgg
- PyTorch https://bit.ly/3lnsiIz
- SQL : https://lnkd.in/gnwe4qcb
- R : https://lnkd.in/gEgJ6A8j
- Git : https://lnkd.in/gyzhztvH
- AWS https://bit.ly/3ZQWMS1
- Azure https://bit.ly/42f4N4V
- Google Cloud Platform : https://bit.ly/3JJADzv
- Docker : https://bit.ly/3Lt2zJe
- Kubernetes https://lnkd.in/gjXCT7Mb
- Linux Command Line : https://bit.ly/3FtcTgw
- Jupyter Notebook https://lnkd.in/g7cPmgHQ
- Data Wrangling :https://bit.ly/3TiMibP
- Data Visualization : https://lnkd.in/gQ52Jd_J
- Statistical Inference https://lnkd.in/grNXVQh5
- Probability : https://lnkd.in/gvnWCphc
- Linear Algebra : https://lnkd.in/gty6XpVF
- Calculus https://lnkd.in/gjhsmsxu
- Time Series : https://bit.ly/3Fvuep4
- NLP: https://bit.ly/3Fvursm
- Neural Network : https://lnkd.in/gThs2AAp
- Deep Learning : https://lnkd.in/gVbSPae2
- Machine Learning : https://bit.ly/3mZ5Wh3
- Apache Spark : https://lnkd.in/ge7Rj-Yr
- Hadoop : https://bit.ly/3Lq34DR
- Big-O Notation t: https://lnkd.in/gfYqM8WU
- Regular Expression : https://lnkd.in/gE9kZTZW
- Unix/Linux Permissions https://bit.ly/3ZUfwA8
- Python String Formatting https://lnkd.in/gHi26Uk2
- Flask : https://lnkd.in/gGzbSTgU
- Django : https://lnkd.in/grZcWz8y
- SQL : https://lnkd.in/gyierV3f
- PostgreSQL : https://lnkd.in/gzfiW7zB
- MySQL: https://lnkd.in/g4JnPVTe
- MongoDB : https://lnkd.in/gHc4F4ER
- TensorFlow Probability Cheat Sheet: https://lnkd.in/gr3bgDGP
- OpenAI GPT-3 Documentation: https://lnkd.in/gawB_SC9
- GPT-3 API Reference: https://lnkd.in/gtCGZvX8
- GPT-3 GitHub Repository: https://lnkd.in/g56cQQPD
- Chat GPT Cheat Sheet : https://lnkd.in/e43cDB9q