Self-Study Python - Programming Basics, Scientific Computing and Data Analysis

"Teach Yourself Python - Basics of Programming, Scientific Computing and Data Analysis" is a practical study note for Python beginners. The book has 10 chapters in total: Chapter 1 introduces the basic knowledge of Python, including the use of basic Python tools such as Anaconda, IPython interpreter, and Jupyter Notebook; Chapter 2 introduces the basic usage of Python, including basic syntax, data types, judgments and loops, functions and modules, exceptions and warnings, and file reading and writing; Chapter 3 introduces the advanced usage of Python, including function advancement, iterators and generators, decorators, context managers, variable scope, etc.; Chapter 4 introduces the use of common Python standard libraries; Chapter 5 introduces Python's basic scientific computing module NumPy, including basic operations, broadcast mechanism, indexing, reading and writing of NumPy arrays; Chapter 6 introduces Python's visualization module Matplotlib, including function- and object-based visualization operations; Chapter 7 introduces Python's advanced scientific computing module SciPy, including some advanced mathematical operations; Chapter 8 introduces Python's basic data analysis module Pandas, including the use of Series and DataFrame; Chapter 9 introduces object-oriented programming in Python, including object properties and methods, inheritance and reuse, and an example of using object-oriented programming; Chapter 10 introduces an example of using Python to analyze Chinese novel text. "Teach Yourself Python - Fundamentals of Programming, Scientific Computing and Data Analysis" is suitable for beginners who are new to Python and readers who want to use Python to process and analyze data. It can also be used as a reference book or reference for learning and using Python.