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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-python-3-bootcamp/
课程评论:没有评论
课程名称:Python 3认证课程 课程概述:Python是一种流行且易于学习的编程语言,适合初学者创建强大而多样化的项目。几乎所有行业都在使用Python,因此它是所有项目中非常有价值的语言。如果您是编码新手,Python将是一个理想的起点,因为它易于学习,并受到雇主的喜爱。 自1991年首次发布以来,Python经历了许多变化。目前,Python 2和Python 3是主要的两个版本。虽然Python 2自2000年推出以来已经存在很长时间,但Python 3的发布(2008年)不仅是一次简单的升级。Python 3并不向后兼容Python 2,因此在Python 2的开发者和应用程序仍然依赖于它的情况下,转型的过程显得缓慢。直到2020年,Python依然支持这两种语言。 在本课程中,您将学习Python的基础知识。Python是一种快速发展的语言,具备解释性、面向对象、高级以及过程导向的特征。由于市场上有大量可用的库,许多公司和开发者正在使用Python,并可以在多个领域应用它,如机器学习、图形用户界面、软件开发、网页开发等。谷歌、YouTube、Dropbox、NASA和雅虎等知名企业都在使用Python。
Python is a popular, beginner-friendly programming language that enables coders to create powerful and versatile projects. Used by almost every industry, it's a valuable language for all projects. Python is an excellent place to start if you're a coding novice. It's easy to learn and loved by employers.Like everything in life, Python has undergone many changes since its first release in 1991. Today, Python 2 and 3 are the strongest variations left standing.Released in 2000, Python 2 has been around a long time. The upgrade made the language more accessible for the average person. Additionally, it added many sought-after features, such as list comprehension, Unicode support, and more. Transitioning from Python 1 to Python 2 was the obvious choice.However, when Python 3 came out in 2008, it was more than a simple upgrade. The issue with Python 3 was that it wasn't backward compatible with its predecessor. The shift has been slow, given the number of Python 2 developers and applications depending on Python 2. Up until 2020, Python still supported both languages.In this course,You will be learning the basics of python in this course.Python is one of the fastest growing languagePython is interpreted, object oriented, high level, procedure oriented languageIt has different versionsThe reason behind it is there are huge number of libraries available in the market, many companies and developers are using it and it can be implemented in many areas.It is general Purpose language as it can be used in Machine learning, GUI, Software Development, Web development and many more.Google, YouTube, Dropbox, NASA, Yahoo use python