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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-beginners-part-1-free/
课程评论：没有评论
课程名称：Python初学者课程 课程概述：本课程旨在为希望掌握Python编程基础的学习者提供快速入门，无论您是想获得第一份Python开发工作的技能，晋升为更高级的软件开发人员，涉足机器学习、数据科学、Django等Python热门领域，还是仅仅希望学习Python以便快速创建自己的应用程序，这门课程都将为您打下坚实的基础。Python是一种功能强大且灵活的开源语言，易于学习和使用，并且拥有强大的数据处理和分析库。多年来，Python广泛应用于科学计算和高度量化的领域，如金融、石油和天然气、物理学及信号处理。 课程内容将涵盖Python的基础和高级概念，包括编写Python脚本、Python中的序列和文件操作、Python中的机器学习、网页抓取、Map Reduce、Hadoop Streaming，以及为Pig和Hive编写Python UDF。此外，您还将学习重要且广泛使用的包，如pydoop、pandas、scikit、numpy和scipy。 课程目标：完成本课程后，您应该能够： - 掌握Python的基本和高级概念。 - 理解在UNIX/Windows上使用Python脚本、Python编辑器和集成开发环境（IDE）。 - 掌握Python基础知识，如关键字、变量、数据类型、循环和字符串处理等。
Whether you want to:- build the skills you need to get your first Python programming job- move to a more senior software developer position- get started with Machine Learning, Data Science, Django, or other hot areas that Python specializes in- or just learn Python to be able to create your own Python apps quickly.…then you need a solid foundation in Python programming. And this course is designed to give you those core skills, fast.Python:Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. This course will cover both basic and advance concepts of Python like writing python scripts, sequence and file operations in python, Machine Learning in Python, Web Scraping, Map Reduce in Python, Hadoop Streaming, Python UDF for Pig and Hive. You will also go through important and most widely used packages like pydoop, pandas, scikit, numpy scipy etc.Course Objective:After the completion of the this Python Course at, you should be able to:Master the Basic and Advanced Concepts of Python.Understand Python Scripts on UNIX/Windows, Python Editors, and IDEs.Master the Concepts of Python fundamentals like keywords, variables, data types, loops, string manipulation, etc.
