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所在平台: Udemy |
课程主页: https://www.udemy.com/course/scientific-computing-with-numpy/
课程评论：没有评论
课程名称：用NumPy掌握Python科学计算 课程概述：您是否想学习NumPy并开始使用Python进行数据分析？本课程是对NumPy的全面且实际的介绍！我们将教授您Python库NumPy的方方面面。这个库非常强大，广泛用于科学计算、线性代数、图像处理、机器学习等领域。如果您对其中一个主题感兴趣或者想在Python中开始数据科学的学习，这门课程将非常适合您！课程将教授您专业使用NumPy所需的一切知识。我们将从基础开始，逐步深入更复杂的主题。由于NumPy是Pandas、Scikit-Learn和PyTorch等其他流行Python库的基础构件，学习它是开启Python数据科学的绝佳路径。 为什么选择我们？这门课程提供了对NumPy的全面介绍！我们不回避技术细节，旨在让您凭借新学到的NumPy技能脱颖而出。课程中包含精心设计的练习，帮助巩固所学知识。在视频之间，我们设计了小练习，以帮助您加强材料的理解。此外，还有大型练习，您将获得一个Jupiter Notebook，并被要求解决围绕某个主题的一系列问题。我们提供有趣主题的练习，如音频处理、线性回归和图像处理！ 我们是Eirik和Stine，一对热爱制作高质量课程的夫妇！Eirik曾在大学教授Python和NumPy，Stine为使用NumPy的大学课程编写学习材料。我们都热爱NumPy，并迫不及待想教您这些知识！ 课程内容涵盖： - NumPy简介 - 向量操作 - 通用函数与绘图 - 随机性与统计 - 矩阵创建与修改 - 广播与高级索引 - 基本线性代数 - 理解n维数组 - 傅里叶变换 - 高级线性代数 - 数据的保存与加载 完成本课程后，您将熟悉NumPy，并为Python中的数据科学和机器学习等主题奠定坚实基础。 课程还有30天退款政策，如果您对课程不满意，可以无忧退费。如果您在阅读后仍感到不确定，可以查看一些免费预览，看看是否喜欢。期待与您相见！
Do you want to learn NumPy and get started with data analysis in Python? This course is both a comprehensive and hands-on introduction to NumPy!What this course is all about:In this course, we will teach you the ins and outs of the Python library NumPy. This library is incredibly powerful and is used for scientific computing, linear algebra, image processing, machine learning, and more. If you are interested in one of these topics or simply want to get started with data science in Python, then this is the course for you!The course will teach you everything you need to know to professionally use NumPy. We will start with the basics, and then gradually move on to more complicated topics. As NumPy is the fundamental building block for other popular Python libraries like Pandas, Scikit-Learn, and PyTorch, it's a great library to get you started with data science in Python. Why choose us?This course is a comprehensive introduction to NumPy! We don't shy away from the technical stuff and want you to stand out with your newly learned NumPy skills.The course is filled with carefully made exercises that will reinforce the topics we teach. In between videos, we give small exercises that help you reinforce the material. Additionally, we have larger exercises where you will be given a Jupiter Notebook sheet and asked to solve a series of questions that revolve around a single topic. We give exercises on awesome topics like audio processing, linear regression, and image manipulation!We're a couple (Eirik and Stine) who love to create high-quality courses! In the past, Eirik has taught both Python and NumPy at the university level, while Stine has written learning material for a university course that has used NumPy. We both love NumPy and can't wait to teach you all about it!Topics we will cover:We will cover a lot of different topics in this course. In order of appearance, they are:Introduction to NumPyWorking with VectorsUniversal Functions and PlottingRandomness and StatisticsMaking and Modifying MatricesBroadcasting and Advanced IndexingBasic Linear AlgebraUnderstanding n-dimensional ArraysFourier TransformsAdvanced Linear AlgebraSaving and Loading DataBy completing our course, you will be comfortable with NumPy and have a solid foundation for topics like data science and machine learning in Python.Still not decided?The course has a 30-day refund policy, so if you are unhappy with the course, then you can get your money back painlessly. If are still uncertain after reading this, then take a look at some of the free previews and see if you enjoy them. Hope to see you soon!
