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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-beginner-to-expert-2022/
课程评论：没有评论
课程名称：Python In 11 Hours - Complete Tutorial For Beginners 课程概述：本课程旨在帮助初学者在最佳方式下学习Python，使您完全熟悉Python，并掌握在IT工作中所需的所有Python技能。完成课程后，您将可以顺利通过Python面试，并获得良好的薪资。该课程时长为10小时，内容全面，一经完成，您无需再在互联网上搜索与Python相关的信息。 课程内容包括： 1. 控制流语句：学习控制流语句和循环，进行示例程序编写。 2. 列表：掌握Python列表的所有操作。 3. 字符串：学习字符串的所有操作及格式化方法。 4. 字典：掌握字典的所有操作。 5. 元组：熟悉元组的所有操作。 6. 集合：学习集合的所有操作。 7. 函数：编写和调用Python函数，包括lambda函数和用户定义函数与内置函数的区别。 8. 面向对象编程（OOP）：创建类、继承及其类型、方法重写等。 9. 异常处理：了解异常，处理异常，检测多个异常及创建自定义异常。 10. 模块、包和库：了解模块、包和库的概念，区分内置模块与用户定义模块，并详细了解内置模块。 11. 日期和时间操作：使用datetime模块进行日期和时间的操作。 12. 文件操作：掌握所有文件操作，包括读取、写入和追加。 13. 迭代器和生成器。 14. 正则表达式（Regex）：学习如何在Python中使用正则表达式，及其实际应用。 15. Python与CSV文件：读取和写入CSV文件的数据。 16. Python pandas：广泛使用的数据分析库，创建数据框，进行数据分析操作，包括读取和写入CSV及Excel文件。 17. Python与MySQL：创建数据库，向表中添加数据，以及对数据库表进行读取、更新和删除操作。 此课程将为您在Python编程方面打下坚实的基础，助力您顺利进入IT行业。
Learn Python In The Best Way.A course to make you completely familiar with PythonBecome a python programmer and learn all python skills needed for the IT job.Complete the course and crack the python interviews and get placed with good salary.The course is 10 hours long and built in such a way that once you complete the course you will no longer need to search the internet for python related stuffs. Because everything is covered in this course for you. Chapters and Contents1. Control Flow Statements: Learn what are control flow statements and loops. Do sample programs with loops and control flow statements.2. Lists: All operations on python lists3. Strings: All operations on strings and string formatting4. Dictionary: All operations on dictionary5. Tuple: All tuple operations6. Set: All set operations 7. Functions Writing and calling python functions Type of functions in python lambda functions User defined vs built-in functions 8. Object oriented programming (OOPs)Creating classesInheritanceTypes of inheritanceMethod overriding9. Exception handlingWhat are exceptionsHandling exceptionsChecking for multiple exceptionsCreating our own exception10. Modules and packages and librariesWhat is a module,package,and libraryBuilt-in vs User defined modulesBuilt in modules in detail11. Date and time operationsDate and time operations using datetime module12. File operationsAll file operations - reading ,writing, appending 13. Iterators and Generators14. Regular Expressions -RegexHow to use regex in python - re moduleregex practical applications - finding email,phone numbers and other values from strings15. Python and CSV FilesReading data from CSV FilesWriting data to the CSV File16. Python pandas - widely used library for data analysisCreating dataframeAll operations on dataframereading and writing to csv and exceldata analysis operations17. Python and MySql Create databaseadd data to tableread , update and delete data from database table.
