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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-first-coding/
课程评论：没有评论
**课程名称：Python 作为第一门编程语言** **课程概述：** 本课程旨在帮助零基础的学习者开始掌握编程技能，无论您是希望学习编程的大学生、寻求转行的职场人士，还是需要提升代码能力的数据科学家，都能从中受益。课程由拥有20年以上在顶级科技公司领导团队经验的Jay讲授，他热衷于帮助人们有效运用代码和技术。 **为何选择Python？** Python被公认为最值得学习的编程语言之一。它易于上手，工具免费，并且支持广泛的应用领域。特别是在数据科学领域，Python已成为关键语言。报告指出，“掌握Python，结合扎实的量化推理和实验分析能力，能在行业中大放异彩。” **课程特色：** 与其他仅侧重语法讲解的课程不同，本课程更注重编程概念和实际应用。课程将重点关注“数据”，因为许多Python用户对其数据处理能力感兴趣。课程由浅入深，从基本数据类型讲到数据集合，再到用于管理数据的模块和程序包。同时，课程将学习曲线设计为从执行单一Python指令到创建程序和控制代码流程。
Why learn to code?Maybe you are a College student wanting to learn to code, someone looking for a career change to coding or a Data Scientist needing code skills. But coding can feel hard to break into and seems increasingly dominated by people who have written code from an early age. This course is designed to help people start to get real value for coding. Jay has 20+ years of experience in leading teams in top tech organisations from small companies to multinationals and a passion for enabling people to use code and technology in effective ways.Why start with Python?Python is regularly listed as one of the top languages to learn. It's easy to get started with, the tools are free and it has support for a huge range of specific uses. In particular, it's become the key language in data science with a recent report concluding: "By knowing Python, combined with a strong aptitude for quantitative reasoning and experimental analysis, you can strike gold in the industry."Why this course?There are plenty of reference books and online guides which will tell you the syntax of the Python language. And these have a lot of value to any programmer building skills. But a theoretical approach learning pages of Python instructions isn't the best way to start learning. Or the most fun for that matter.In this course Jay will be focussing on concepts and how the language is used. In particular the course focusses on data, because many Python users are interested in manipulating data. The course builds from basic data types up through collections of data to modules and packages used to manage data. And in parallel it builds from executing single Python instructions to creating programs and controlling the flow of code.
