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所在平台: Udemy |
课程主页: https://www.udemy.com/course/numpy-library-for-data-science-all-in-one/
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**Coursera 课程总结：Numpy 库用于数据科学 (一体化)** 如果您正在为数据科学职业生涯做准备，或者想从零开始学习 Python Numpy，或者希望提升现有数据科学技能，本课程都将是您的理想选择。在信息技术飞速发展的时代，Python 及其 Numpy 库是您进入这个领域并创造机会的明智之举。 Numpy 是一个为 Python 编程语言设计的库，它提供了对大型、多维数组和矩阵的支持，以及一系列高阶数学函数，可用于高效地操作这些数组。Numpy 的核心在于其“ndarray”对象，它比传统的 Python 列表快高达 50 倍，并提供了大量便捷的函数来处理数组。在数据科学领域，数组的运用极为广泛。 本课程将带您深入了解数据科学世界，并通过实践案例指导您一步步掌握 Numpy。您将学习以下关键内容： * **Numpy 入门与安装** * **列表与 Numpy 数组的异同** * **数组的声明与常见函数**：包括 `arange`、`ones`、`zeros`、`empty`、`linspace`、`identity` 和 `eye` 函数。 * **数组属性** * **数组的索引与切片** * **数组的算术运算符** * **数组重塑与调整**：学习 `reshape` 和 `resize` 函数。 * **数组展平**：掌握 `flatten` 和 `ravel` 函数。 * **数组转换**：了解 `transpose` 和 `swapaxes` 函数。 * **数组连接** (`concatenate`) * **矩阵操作**：例如求逆、矩阵乘法等。 本课程将帮助您从初学者成长为更具经验的学习者。无论您是数据科学新手，还是有其他编程语言基础想要进入新领域，本课程都将提供从零开始、循序渐进的指导。 期待在课程中与您相见！
Hello,Welcome to Numpy Library for Data Science CourseAre you ready for the Data Science career?Do you want to learn the Python Numpy from Scratch? orAre you an experienced Data scientist and looking to improve your skills with Numpy!In both cases, you are at the right place! The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and its Numpy library will be the right choice for you to take part in this world and create your own opportunities,Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.Numpy aims to provide an array object that is up to 50x faster than traditional Python lists. The array object in Numpy is called ndarray , it provides a lot of supporting functions that make working with ndarray very easy. Arrays are very frequently used in data science.In this course, we will open the door of the Data Science world and will move deeper. You will learn Numpy step by step with hands-on examples. Most importantly in Data Science, you should know how to use effectively the Numpy library. Because this library is limitless.In this course you will learn;Introduction and InstallationSimilarities and difference in a list and an arrayDeclare an arrayArray function in numpy libraryarange functionones, zeros and empty functionlinspace functionidentity and eye functionAttributes of arrayIndexing in arraySlicing in arrayArithmetic operators in an arrayreshape and resize function in an arrayflatten function in an arrayravel function in an arraytranspose functionswapaxes functionConcatenate functionDifferent matrices function like finding inverse , matix multiplication etc.This course will take you from a beginner to a more experienced level.If you are new to data science or have no idea about what data science is, no problem, you will learn anything from scratch you need to start data science.If you are a software developer or familiar with other programming languages and you want to start a new world, you are also in the right place. You will learn step by step with hands-on examples.See you in the course!
