Data Science with Python
A complete guide to using Python in your data science projects.
6 articles with this tag
A complete guide to using Python in your data science projects.
A complete guide to Jupyter Notebook and JupyterLab: installation, kernel configuration, magic commands, extensions, and best practices for data science in Python.
A complete guide to Matplotlib for creating line plots, scatter plots, bar charts, and histograms in Python with the object-oriented interface, subplots, and export.
A complete guide to NumPy: master ndarray arrays, broadcasting, vectorized operations, and linear algebra in Python with practical examples.
A complete guide to Pandas for loading, cleaning, filtering, aggregating, and exporting tabular data in Python: Series, DataFrame, groupby, merge, and dates.
Discover the essential Python libraries and frameworks for Machine Learning, Data Science, web development, and more. A practical guide to choosing the right tools for your needs.