Python - it's simple. Step-by-step guide to programming and data analysis

The basics of Python syntax are presented using the Anaconda distribution! Applications such as IPython, Spyder IDE, and Jupyter Notebook are shown. The syntax of variables, functions, and loops is described. Data structures in Python are studied in detail: strings,... lists, tuples, sets, and dictionaries. The concept of classes and their application in object-oriented programming is explained. The capabilities of the Pillow image processing library and the Tkinter library for creating graphical user interface applications are discussed. A separate section is dedicated to error handling and exceptions in programs. The NumPy and Pandas libraries are reviewed, with practical examples of their use for data analysis and processing. The Matplotlib library and its capabilities in data visualization are described.