🌟 Year-End Special: Top 50 Data Science Resources of 2023! 🌟
As we wrap up another fantastic year in the world of data science, I'm thrilled to share with you a goldmine of resources that have been invaluable to our community. This carefully curated list has been fine-tuned to include 50 essential cheat sheets and guides. Whether you're a budding data enthusiast or a seasoned pro, these resources cover a wide spectrum, from mastering Matplotlib syntax to effectively utilizing ChatGPT.
Here's your ultimate toolkit to navigate the exciting landscape of data science:
- 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://ow.ly/6TQI50PjRA5
- SQL: https://lnkd.in/gnwe4qcb
- GeoPandas: https://lnkd.in/d-hnRaJt
- Git: https://lnkd.in/gyzhztvH
- AWS: https://bit.ly/3ZQWMS1
- Azure: https://bit.ly/42f4N4V
- Google Cloud Platform: https://bit.ly/3JJADzv
- Docker, Inc: 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: https://lnkd.in/gfYqM8WU
- Regular Expression: https://lnkd.in/gE9kZTZW
- UNIXi/Linux Permissions: https://bit.ly/3ZUfwA8
- Python String Formatting: https://lnkd.in/d4s3W779
- FLASK: https://lnkd.in/gGzbSTgU
- Django: https://lnkd.in/grZcWz8y
- Plotly: https://lnkd.in/d8SKxbdA
- 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
- Scipy : https://ow.ly/JYCN50PjRG7
- Chat GPT Cheat Sheet: https://lnkd.in/e43cDB9q
- Colors in dataviz : https://lnkd.in/dWU6WkhU
- Geospatial data science in Python: https://lnkd.in/gCbqNXFn
- Network analysis: https://ow.ly/fYm550PjRyf
I hope these documents and cheat sheets will be as beneficial to you as they have been to me and many others in our field. Here's to another year of learning, growing, and excelling in the ever-evolving domain of data science!
Stay tuned for more insights and feel free to share your favorite resources too.