Python/NumPy PrimerIntroduces Python basics and NumPy for scientific computing, covering data types, functions, arrays, indexing, and common operations.
Numpy TutorialCovers the basics of Numpy, including importing the library, creating arrays, and performing linear algebra operations.
Numpy: Creation of ObjectsCovers the creation of ndArray objects with Numpy, including intervals, random values, manipulation, operations, and copying.
Functions in PythonIntroduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.
Python Crash CourseProvides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.
General Introduction to Data ScienceOffers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.