NumPy, SciPy, and Matplotlib Recipes

所在平台: Udemy

课程主页: https://www.udemy.com/course/numpy-scipy-and-matplotlib-recipes/

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课程名称:NumPy、SciPy和Matplotlib配方 课程概述:成为科学Python的高手,掌握21世纪雇主最需要的技能之一!优秀的科学Python程序员年薪超过150,000美元。这是Udemy上最全面且简单易懂的科学Python课程!无论您是从未使用过SciPy,还是已经掌握了Python的基础,或者希望学习NumPy在Python 3中的高级功能,本课程都适合您!在本课程中,我们将教授您NumPy、SciPy、Matplotlib和Jupyter Notebook。通过100多节讲座和超过10小时的视频,这个全面的课程确保您在学习科学Python时没有遗漏任何细节!我们将以非常实用的方式教您科学Python,每节讲座都包括完整的Python 3编程视频以及相应的Jupyter Notebook,其中包含Python 3代码!您可以根据自己的学习方式进行学习。 课程内容包括: - 科学Python生态系统基础 - SciPy、NumPy和Matplotlib基础 - 在Windows上安装Python 3 - Raspberry Pi的设置 - Raspberry Pi上的Python 3环境概述 - Jupyter的安装与基础 - Ndarray - 数组创建例程 - 使用Matplotlib进行基础可视化 - Ndarray操作 - SciPy的安装 - 使用NumPy和Matplotlib进行图像处理 - NumPy和SciPy的科学与商业可视化 - 使用SciPy进行K-Means聚类 您将终身获得100多个讲座的访问权限,以及相应的PDF和讲座的Jupyter Notebook!那么,您还在等什么呢?以有趣而实用的方式学习SciPy、NumPy和Matplotlib,提升您的职业生涯并增加知识储备吧!

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Become a Master in Scientific Python and acquire employers' one of the most requested skills of 21st Century! A great Scientific Python programmer earns more than $150000 per year.This is the most comprehensive, yet straight-forward course for the Scientific Python on Udemy! Whether you have never used SciPy before, already know basics of Python, or want to learn the advanced features of NumPy with Python 3, this course is for you! In this course we will teach you NumPy, SciPy, Matplotlib, and Jupyter Notebook. With over 100 lectures and more than 10 hours of video this comprehensive course leaves no stone unturned in teaching you Scientific Python!This course will teach you Scientific Python in a very practical manner, with every lecture comes a full Python 3 programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!We will start by helping you get Python3, NumPy, Matplotlib, Jupyter, and SciPy installed on your Windows computer and Raspberry Pi.We cover a wide variety of topics, including:Basics of Scientific Python EcosystemBasics of SciPy, NumPy, and MatplotlibInstallation of Python 3 on WindowsSetting up Raspberry PiTour of Python 3 environment on Raspberry PiJupyter installation and basicsNdarraysArray Creation RoutinesBasic Visualization with MatplotlibNdarray ManipulationInstallation of SciPyImage Processing with NumPy and MatplotlibNumPy and SciPy Scientific and Business VisualizationsK-Means clustering with SciPyYou will get lifetime access to over 100 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures! So what are you waiting for? Learn SciPy, NumPy, and Matplotlib in a way that will advance your career and increase your knowledge, all in a fun and practical way!

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