Python - It's Simple. A Step-by-Step Guide to Programming and Data Analysis

The basics of Python syntax are discussed 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 applications with a graphical interface are described. A separate section is dedicated to error and exception handling in programs. The libraries NumPy and Pandas are discussed, along with practical examples of their use for data analysis and processing. The Matplotlib library and its capabilities in the field of data visualization are described.