Integrating Python for Web Systems, Testing, and Packaging

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Integrating Python for Web Systems, Testing, and Packaging

本课程是 Applied Python: Web Dev, Machine Learning & Cryptography 专项课程的一部分

位教师：EDUCBA

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3个模块

深入了解一个主题并学习基础知识。

6 小时完成

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自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

6 小时完成

灵活的计划

自行安排学习进度

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积累特定领域的专业知识

本课程是 Applied Python: Web Dev, Machine Learning & Cryptography 专项课程专项课程的一部分

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该课程共有3个模块

This course is designed to guide learners through the complete pipeline of Python-based web application development, from structured document parsing to cross-platform deployment and performance tuning. Through three progressively advanced modules, learners will apply, construct, and evaluate server-side scripting techniques, Python-based integration tools, and distribution mechanisms.

In Module 1, learners will explore the foundations of web content parsing, using libraries such as Tidy and Beautiful Soup, and will demonstrate the creation and debugging of CGI-based web applications. In Module 2, learners will construct dynamic server-side components using Python Server Pages (PSP), implement XML-RPC communication, and validate their applications with testing tools like doctest and unittest, followed by evaluating performance using profiling tools. In Module 3, learners will demonstrate integration with external platforms like Java and .NET through Jython and IronPython, analyze memory management using reference counting, and construct Python packages using distutils for scalable application deployment. This hands-on, project-based course enables learners to not only build web solutions but also optimize and package them efficiently for diverse environments.

This module introduces learners to foundational techniques in parsing and preparing web content using Python. It begins with cleaning malformed HTML using the Tidy library and progresses into parsing structured data with HTML parsers. Learners then explore advanced parsing with Beautiful Soup and apply these techniques to build dynamic content through CGI scripting. The module concludes by guiding learners through CGI debugging practices and configuring servers for CGI-based execution using Apache. By the end, learners will have the practical ability to clean, parse, serve, and debug web-based data pipelines in Python.

涵盖的内容

9个视频4个作业

9个视频总计66分钟

Using Tidy Part 16分钟
Using Tidy Part 26分钟
Tidy Libraries and HTML Parser Part 15分钟
Tidy Libraries and HTML Parser Part 25分钟
Beautiful Soup5分钟
Web Pages and CGI10分钟
Debugging with CGI Part 16分钟
Debugging with CGI Part 27分钟
CGI Handler and configuring Apache10分钟

4个作业总计60分钟

Graded - Web Content Parsing and Preparation30分钟
HTML Cleaning and Parsing10分钟
Web Scraping and CGI Basics10分钟
Debugging and Server Configuration10分钟

This module introduces learners to the foundational techniques of dynamic web application development using Python. Through hands-on exploration of Python Server Pages (PSP), RSS generation, remote communication protocols like XML-RPC, and structured testing frameworks such as doctest and unittest, learners will gain the ability to build, test, and optimize server-side applications. The module also explores methods for enhancing performance using profiling tools, ensuring efficiency and reliability in deployed systems.

涵盖的内容

9个视频4个作业

9个视频总计76分钟

Psp and The Publisher Part 16分钟
Psp and The Publisher Part 26分钟
RSS Feeds with Logo11分钟
XML-RPC7分钟
Intro to Testing with Logo11分钟
Doctest with Logo9分钟
Unittests9分钟
Optimizing and Profiling Part 17分钟
Optimizing and Profiling Part 26分钟

4个作业总计60分钟

Graded - Server-Side Scripting and Integration30分钟
Python Server Pages and Content Publishing10分钟
Remote Services and Testing Basics10分钟
Unit Testing and Performance Monitoring10分钟

This module explores advanced integration and extension techniques in Python, focusing on cross-platform compatibility, performance optimization, and distribution workflows. Learners will understand how to integrate Python with other runtimes like Java and .NET using Jython and IronPython, extend Python with C for computational efficiency, and apply concepts such as reference counting for memory management. The module concludes with practical strategies for packaging and distributing Python modules using the distutils library.

涵盖的内容

6个视频3个作业

6个视频总计54分钟

Jython and IronPython with Logo11分钟
Writing C extension with Logo10分钟
Palindrome with Logo9分钟
Reference Counting9分钟
Working with Distutils Part 16分钟
Working with Distutils Part 27分钟

3个作业总计50分钟

Graded - Advanced Python Interfacing and Packaging30分钟
Cross-Platform Integration10分钟
Memory Management and Distribution10分钟

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位教师

EDUCBA

560 门课程164,504 名学生

提供方

EDUCBA

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