Crash course in Python and data science libraries
Teacher: Stefania Delprete — TOP-IX
Interactive lessons using Jupyter Notebooks on Python and its most used libraries for data science: NumPy, Pandas, Matplotlib, and an initial Scikit-learn exposure. Plus you’ll get clear on what’s inside the Anaconda and SciPy ecosystems.
This session will include insights of the history and future of the open source libraries, how to contribute and participate to the community events.
Stickers for all the participants provided by Python Software Foundation and NumFOCUS.
Duration: 1.5 days.
Prerequisites: Exposure to Python and Jupyter Notebooks.
#datascience #python #numpy #pandas #matplotlib #scipy #scikitlearn