{"product_id":"advanced-python-best-practices-and-design-patterns","title":"Advanced Python: Best Practices and Design Patterns","description":"\u003cdiv\u003e\n\u003cp\u003eThis \u003cstrong\u003eadvanced Python training course\u003c\/strong\u003e will expand your foundational Python programming skills to build reliable and stable applications. In this course, you will learn how to:\u003c\/p\u003e\r\n\u003cul\u003e\r\n\u003cli\u003eEmploy design patterns and best practices in Python applications\u003c\/li\u003e\r\n\u003cli\u003eExploit the object-oriented programming features in Python for stable, reliable programs\u003c\/li\u003e\r\n\u003cli\u003eCreate and manage concurrent threads of control\u003c\/li\u003e\r\n\u003cli\u003eGenerate and consume \u003cabbr title=\"REpresentational State Transfer\"\u003eREST\u003c\/abbr\u003e web service requests and responses\u003c\/li\u003e\r\n\u003cli\u003eImplement Gang of Four (\u003cabbr title=\"Gang Of Four\"\u003eGoF\u003c\/abbr\u003e) design patterns to solve commonly recurring software design problems\u003c\/li\u003e\r\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eAdvanced Python: Best Practices and Design Patterns Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cp\u003eUnit test, debug, and install Python programs and modules\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eProfile program execution and improve performance\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eApply advanced Python programming features for efficient, reliable, and maintainable programs\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eGain knowledge and skills applicable to all Python environments, including Microsoft Windows, macOS, and all Linux and UNIX distributions\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eTest your knowledge in the included end-of-course exam\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eContinue learning and face new challenges with after-course one-on-one instructor coaching\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAdvanced Python Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Object-Oriented Programming in Python\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExtend classes to define subclasses\u003c\/li\u003e\n\u003cli\u003eAdd properties to a class\u003c\/li\u003e\n\u003cli\u003eDefine abstract base classes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Exploring Python Features\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWrite \"Pythonic\" code\u003c\/li\u003e\n\u003cli\u003eModify code dynamically with monkey patching\u003c\/li\u003e\n\u003cli\u003eProcess large data structures efficiently with generators\u003c\/li\u003e\n\u003cli\u003eHandle exceptions\u003c\/li\u003e\n\u003cli\u003eRaise user-defined exceptions\u003c\/li\u003e\n\u003cli\u003eReduce code complexity with context managers and the \"with\" statement\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Verifying Code and Unit Testing\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDevelop and run Python unit tests\u003c\/li\u003e\n\u003cli\u003eSimplify automated testing with the Pytest package\u003c\/li\u003e\n\u003cli\u003eVerify code behavior\u003c\/li\u003e\n\u003cli\u003eMock dependent objects with the Mock package\u003c\/li\u003e\n\u003cli\u003eUse mock objects to verify code behavior when exceptions occur\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Detecting Errors and Debugging Techniques\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLog messages for auditing and debugging\u003c\/li\u003e\n\u003cli\u003eCheck your code for potential bugs with Pylint and Flake8\u003c\/li\u003e\n\u003cli\u003eDebug your Python code\u003c\/li\u003e\n\u003cli\u003eExtract error information from exceptions\u003c\/li\u003e\n\u003cli\u003eTrace program execution with the \u003ca href=\"https:\/\/www.jetbrains.com\/pycharm\/\" title=\"PyCharm: the Python IDE for Professional Developers by JetBrains\" target=\"_blank\" rel=\"external nofollow noopener\"\u003ePyCharm \u003cabbr title=\"Integrated Development Environment\"\u003eIDE\u003c\/abbr\u003e\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Implementing Python Design Patterns\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eImplement the Decorator pattern using @decorator\u003c\/li\u003e\n\u003cli\u003eControl access to an object with the Proxy pattern\u003c\/li\u003e\n\u003cli\u003eLay out a skeleton algorithm in the Template Method pattern\u003c\/li\u003e\n\u003cli\u003eEnable loose coupling between classes with the Observer pattern\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Interfacing with REST Web Services and Clients\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBuild a REST service\u003c\/li\u003e\n\u003cli\u003eGenerate \u003cabbr title=\"JavaScript Object Notation\"\u003eJSON\u003c\/abbr\u003e responses to support Ajax clients\u003c\/li\u003e\n\u003cli\u003eSend REST requests from a Python client\u003c\/li\u003e\n\u003cli\u003eConsume JSON and \u003cabbr title=\"eXtensible Markup Language\"\u003eXML\u003c\/abbr\u003e response data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 7: Measuring and Improving Application Performance\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eTime execution of functions with the \"timeit\" module\u003c\/li\u003e\n\u003cli\u003eProfile program execution using \"cProfile\"\u003c\/li\u003e\n\u003cli\u003eManipulate an execution profile interactively with \"pstats\"\u003c\/li\u003e\n\u003cli\u003eEfficiently apply data structures, including lists, dictionaries, and tuples\u003c\/li\u003e\n\u003cli\u003eMap and filter data sets using comprehensions\u003c\/li\u003e\n\u003cli\u003eReplace the standard Python interpreter with PyPy\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 8: Installing and Distributing Modules\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eInstall modules from the \u003ca href=\"https:\/\/pypi.org\/\" title=\"PyPI: The Python Package Index\" target=\"_blank\" rel=\"external nofollow noopener\"\u003ePyPi\u003c\/a\u003e repository using \"pip\"\u003c\/li\u003e\n\u003cli\u003ePackage Python modules and applications\u003c\/li\u003e\n\u003cli\u003eEstablish isolated Python environments with the \"venv\" module\u003c\/li\u003e\n\u003cli\u003eBuild a distribution package with the \"build' module\u003c\/li\u003e\n\u003cli\u003eUpload your Python modules to a local repository\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 9: Concurrent Execution\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCreate and manage multiple threads of control with the Thread class\u003c\/li\u003e\n\u003cli\u003eSynchronize threads using locks\u003c\/li\u003e\n\u003cli\u003eParallelize execution using process pools and Executors\u003c\/li\u003e\n\u003cli\u003eSynchronize processes with queues\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"266A62US \/ 2026-06-15T09:00:00 \/ Online","offer_id":47534175027419,"sku":"US-1906-IL","price":2512.0,"currency_code":"USD","in_stock":true},{"title":"268A44US \/ 2026-08-18T09:00:00 \/ Herndon, 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