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所在平台: Udemy |
课程主页: https://www.udemy.com/course/numpy-for-scientific-computation-with-python/
课程评论：没有评论
**课程名称：** NumPy for Scientific Computation with Python - 2022 Edition **课程概述：** 本课程专为希望在Python数据科学领域开启职业生涯的初学者设计。NumPy（Numerical Python）是一个开源的Python库，能够帮助用户执行简单和复杂的数值数据计算。它是从初学者到高级Python程序员进行科学计算的首选库，广泛应用于统计学家、数据科学家和工程师。 在本课程中，您将学到关于NumPy数组的全部知识，从安装和导入NumPy到Python。您将接触到创建NumPy数组的各种方法，并学习对它们进行各种操作。此外，课程还将教授如何对NumPy数组进行索引和切片。最后，课程将演示如何将NumPy数组保存/加载为不同的文件格式。 **为什么选择本课程？** * **2022年最新课程内容：** 所有课程内容均根据市场上最新的技术和工具进行更新。 * **实践动手知识：** 本课程侧重于提供循序渐进的实施指南，而非仅仅停留在理论层面。 * **指导支持：** 我们随时通过问答环节为您提供指导，请随时提出您的疑问。 **教学内容（未列出具体大纲）：** * NumPy的安装与导入 * 创建NumPy数组的方法 * NumPy数组的操作 * NumPy数组的索引与切片 * NumPy数组的保存与加载
Are you a beginner looking to kick off your career in data science using Python? Then, this course on NumPy is a must for you!NumPy, or Numerical Python, is an open-source Python library that helps you perform simple as well as complex computations on numerical data. It is the go-to scientific computation library for beginners as well as advanced Python programmers and it is used mostly by statisticians, data scientists, and engineers.In this course, you will learn everything you need to know about NumPy arrays starting from how to install NumPy and import it in Python. You will be introduced to various methods of creating NumPy arrays and you will also learn various operations on them. Furthermore, the course helps you learn how to perform indexing and slicing on NumPy arrays. The course ends off by teaching you how to save/load NumPy arrays in different file formats.Why you should take this course?Updated 2022 course content: All our course content is updated as per the latest technologies and tools available in the marketPractical hands-on knowledge: This course is oriented to providing a step-by-step implementation guide rather than just sticking to the theory.Guided support: We are always there to guide you through the Q/As so feel free to ask us your queries.
