Resources and Links to learn Python for Data Science.
Python Basics:
- Official Python Documentation: Python.org
- Codecademy Python Course: Codecademy
Python Libraries for Data Science:
- NumPy: numpy.org
- Pandas: pandas.pydata.org
- Matplotlib: matplotlib.org
Data Visualization:
- Seaborn: seaborn.pydata.org
- Plotly: plotly.com
- Data Visualization with Matplotlib Tutorial: matplotlib.org/3.3.4/tutorials/index.html
Statistical Analysis:
- SciPy: scipy.org
- Statsmodels: statsmodels.org
- Statistics for Data Science with Python: realpython.com
Machine Learning:
- Scikit-learn: scikit-learn.org
- TensorFlow: tensorflow.org
- PyTorch: pytorch.org
Advanced Topics in Data Science:
- Natural Language Processing with NLTK: nltk.org
- Time Series Analysis with Python: statsmodels.org/dev/examples/index.html#time-series-analysis
- Deep Learning with TensorFlow: tensorflow.org/tutorials
- Deep Learning with PyTorch: pytorch.org/tutorials
Data Science Communities and Platforms:
- Kaggle (Data Science Competitions and Datasets): kaggle.com
- Data Science Stack Exchange: datascience.stackexchange.com
- Reddit Data Science Community: reddit.com/r/datascience
These resources should provide a solid foundation for your Python and data science journey. Remember to explore additional resources, online courses, tutorials, and books based on your specific interests and learning preferences. Happy learning!
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