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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-beginner-to-advanced-step-into-problem-solving/
课程评论：没有评论
**Coursera 课程总结：Python 从入门到高级问题解决（马拉雅拉姆语）** 本课程旨在帮助对编程和问题解决感到担忧的学员，以简单易懂的马拉雅拉姆语深入学习 Python。课程将从 Python 的基础知识讲起，逐步深入到更复杂的概念。 **课程内容涵盖：** * **CMD 命令** * **Python 基础语法** * **问题解决策略** * **Python 文件管理** * **用于构建实际解决方案的库** 所有课程都以实践为导向，即使是编程新手也能快速掌握。课程强调探索的重要性，鼓励学员拓展视野，理解编程世界的奥秘。 **关于 Python：** Python 是一种解释型、面向对象、高级编程语言，具有动态语义。其内置的高级数据结构，结合动态类型和动态绑定，使其成为快速应用程序开发以及作为脚本语言或连接现有组件的“胶水语言”的理想选择。Python 简洁易学的语法强调代码的可读性，从而降低了程序维护的成本。Python 支持模块和包，鼓励程序的模块化和代码重用。Python 解释器和丰富的标准库可免费用于所有主流平台，并可自由分发。 Python 的高生产力深受程序员喜爱，无需编译步骤，编辑-测试-调试的循环非常快速。Python 程序调试简单，即使出现错误输入也不会导致段错误，而是抛出异常。异常的处理过程清晰，方便定位问题。 **学习重点：** * 轻松掌握 Python 基础和进阶知识 * 提升解决实际编程问题的能力 * 通过实践项目增强编程技能 * 了解 Python 在实际应用中的广泛用途
If you are worried about programming and problem solving and tutorials in complicated way. I can assure you that you'll love it.We'll cover the basics of python and move on to the complex ( Not Complex when you reach that point) Parts of python Programming. The course is taught in simple Malayalam so that you can Understand the concepts easily.You'll learn about:CMD CommandsBasic Python SyntaxProblem SolvingFile Management using PythonLibraries to build real life solutionsAll the lectures in the course is practice oriented. I will try to give an idea about the World of programming even if you are new to it.It's a wonderful journey. I will be your guide but I won't restrict you into a small horizon.The key to learn anything is exploring. About Python ( Source: Python Org )Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.
