Free Python training: Start with Python essentials, move to advanced topics, and explore GUI & Django development. Learn Python step by step.

Learn practical Python debugging and testing: print vs pdb, Jupyter %debug, logging basics, assertions, unit tests, PEP 8 style, and docstrings

Learn Python packaging step-by-step: create virtual environments, structure projects, build packages with setuptools, manage pyproject.toml, and install using pip. Perfect for beginners.

Learn how to read/write files in Python, handle CSV, JSON, XML, pickle, parquet, fetch API data with requests, and use pandas DataFrames for real analysis.

Learn Python error handling with clear examples: syntax vs runtime errors, try/except/else/finally, common exceptions, raising errors, and custom exceptions.

Learn how cuDF accelerates Pandas workflows using GPU-backed DataFrames. Same API, 10x–100x faster performance, minimal code changes. A practical guide.

Explore Python modules, how to use the standard library, create custom modules, manage command-line interfaces with argparse, and configure environment variables. Learn these essential skills to streamline your Python projects and make them more flexible and efficient.

A practical guide to choosing the right chart—histograms, density, box/violin, bars/dots, pies/radar, scatter with trends, trellis, bubble, contour—plus tips.

Master Python data structures with examples: lists (slicing, methods, comprehensions), tuples, sets (operations), dictionaries, and dict comprehensions. Beginner-friendly.

Learn Python functions step by step: definitions, positional and keyword arguments, defaults, *args, **kwargs, return values, scope, lambdas, and recursion with examples.