This unit introduces a collection of libraries, tools, and best practices that extend core Python skills into real-world application development. Students will learn debugging, testing, performance tuning, data processing, multimedia and network integration, and code management techniques to produce maintainable, interoperable Python programs.
Learning Objectives
- Analyze Python programs using debugging and interactive tools (pydbgr, IPython) to identify and resolve syntax and runtime errors and common beginner mistakes
- Apply testing and code-quality workflows (PyUnit, isort) and version control (Mercurial) to build reproducible test suites and maintain organized codebases
- Demonstrate integration of external libraries for data handling, multimedia, GUI, networking, and interoperability (collections, deque, Counter, XML, Whoosh, PyAudio, PyQtGraph, Twisted, JPype, file I/O) to implement functional application features
- Evaluate and improve application performance and real-time data processing by profiling, optimizing, and selecting appropriate libraries and techniques for scalability and responsiveness
Curriculum
- 1 Section
- 30 Lessons
- 30 hours
Expand all sectionsCollapse all sections
- Unit 4 — Advanced Python Tools and Integration30
- 1.1Viewing Package Documentation20 mins
- 1.2Using String Interpolation20 mins
- 1.3Searching Lists20 mins
- 1.4Working with deques20 mins
- 1.5Deleting a File20 mins
- 1.6Checking Your Syntax with Greater Ease20 mins
- 1.7Helping People Decide on Location20 mins
- 1.8Debugging Your Application by Using pydbgr20 mins
- 1.9Enhancing Your Application with Sound by Using PyAudio20 mins
- 1.10Closing and Halting a Notepad20 mins
- 1.11Sorting Lists20 mins
- 1.12Using XML to Your Advantage20 mins
- 1.13Performing Data Mining20 mins
- 1.14Entering an Interactive Environment by Using IPython20 mins
- 1.15Manipulating Images by Using PyQtGraph20 mins
- 1.16Printing Lists20 mins
- 1.17Getting Past the Common Python Newbie Errors20 mins
- 1.18Interacting with Embedded Systems20 mins
- 1.19Testing Python Applications by Using PyUnit20 mins
- 1.20Locating Your Information by Using Whoosh20 mins
- 1.21Working with the Counter Object20 mins
- 1.22Understanding Unicode20 mins
- 1.23Carrying Out Scientific Tasks20 mins
- 1.24Tidying Your Code by Using Isort20 mins
- 1.25Creating an Interoperable Java Environment by Using JPype20 mins
- 1.26Making Your Python Application Fast20 mins
- 1.27Performing Real-Time Analysis of Data20 mins
- 1.28Providing Version Control by Using Mercurial20 mins
- 1.29Accessing Local Network Resources by Using Twisted Matrix20 mins
- 1.30Accessing Internet Resources by Using Libraries20 mins
Instructor
Free
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