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This chapter introduces Python project practice, including project planning and design, involving requirements analysis (functional and non-functional requirements), system design (such as MVC archite

This chapter mainly introduces Python testing and debugging. It covers testing fundamentals, including test types (unit, integration, etc.) and TDD processes; frameworks like unittest and pytest, such

This chapter introduces Python concurrent programming, covering basic concepts (differences between concurrency and parallelism, GIL, task types), multithreading (threading module, daemon threads, syn

This chapter mainly introduces knowledge related to web crawling and automation, including the basics of web crawlers (definition, purposes, working principles, classification, laws and ethics), HTTP

This chapter focuses on Python Web development, covering basic concepts such as web architecture, HTTP protocol, and the ecosystem. It compares frameworks like Flask (lightweight), Django (full-stack)

This chapter focuses on Python data science, covering the basics of data science, NumPy numerical computation, Pandas data processing, data visualization, statistical analysis, machine learning introd

This chapter introduces Python network programming, covering the basics of network protocols (TCP/IP four - layer model, common protocols), Socket programming (implementation of TCP/UDP servers and cl

This chapter delves into advanced Python features, including: list, dictionary, and set comprehensions, which are concise and efficient for quickly creating data structures; generators with lazy evalu

This chapter introduces Python's module and package system. A module is a file containing code, which can be categorized into types such as built-in and standard. It can be imported through various me

This chapter introduces Python exception handling, covering concepts such as exceptions (runtime errors in programs, divided into syntax errors and exceptions), hierarchy (based on BaseException), and