Completed

Application of Python

This series consists of 10 Python classes covering a wide range of topics:

Introductory Python Course: Data operations, conditional judgment, loops, functions, classes, and objects.
Data Analysis (Fundamental): Introduction to NumPy, Pandas, data cleansing, data visualization, grouping, union, resampling, and other basics. All analysis is based on Python.
Data Analysis (Advanced): Intelligent recommendation (RFM model), association rules, regression analysis, and machine learning.
SQL Data Query and Processing: Basic lookups, aggregation, statistics, multi-table processing, and Python interactions.
Data Visualization: Comparison and trend, composition and difference, part and whole, location, and density.
Artificial Intelligence Applications: Natural language processing, image recognition, face recognition, text recognition, and speech recognition (using APIs).
Web Crawler: Web page requests and parsing, text crawling, image crawling, and anti-crawling strategies.
Web Development Basics: HTML basics, CSS basics, content grouping, layout, and advanced techniques.
Fun Tools: QR code tools, drawing tools, PPT tools, design tools, expression tools, translation tools, and automation tools.
Office Efficiency: Automatic classification of files, reading and classifying photo information, reading and writing Excel, Word, PDF documents, and comprehensive office applications.