python机器学习模块
Python is one of the best programming choices for data science, machine learning, and deep learning. Python presents a wide array of choices for the completion of each task. It is highly accessible and one of the best ways to get started with programming because it is fairly simple to use as well as quite easy to learn. It also has a great community with constant updates and upgrades. At the writing of this article, the most recent version of python is 3.8.
P ython是数据科学，机器学习和深度学习的最佳编程选择之一。 Python为完成每个任务提供了多种选择。 它非常易于访问，并且是使用入门的最佳方法之一，因为它使用起来既简单又容易学习。 它还拥有一个不断更新和升级的强大社区。 在撰写本文时，python的最新版本是3.8。
This article assumes the viewers have slight or modest programming knowledge as well as understand a bit of python. If you have no prior programming knowledge then don’t worry. Python is extremely easy to get started with and there are tons of free videos available on YouTube as well as lots of interesting tutorials on the web. Feel free to let me know if you guys want me to make a python basics tutorial from scratch. With just a basic understanding of python, we can continue to understand more about this amazing language along with all the extensions and libraries beneficial for machine learning.
本文假定查看者具有一点或一点点的编程知识，并且了解一些python。 如果您没有任何编程知识，那就不用担心。 Python非常容易上手，YouTube上提供了许多免费视频以及网络上许多有趣的教程。 如果您希望我从头开始编写python基础教程，请随时告诉我。 仅对python有一个基本的了解，我们就可以继续对这种令人惊叹的语言以及有益于机器学习的所有扩展和库有更多了解。
Note: This will be part-2 of my “All About Machine Learning” course. However, each subsequent parts will be standalone parts. You can read the series in any order as per your convenience. I will try to cover the basics and most of the machine learning algorithms in the upcoming articles. To view other parts of the series you can click here. Check out the previous article from the below link if you haven’t already.
注意：这将是我的“关于机器学习的全部”课程的第2部分。 但是，每个后续部分将是独立的部分。 您可以根据需要以任何顺序阅读该系列。 在接下来的文章中，我将尝试介绍基础知识和大多数机器学习算法。 要查看系列的其他部分，请单击此处 。 如果还没有，请从下面的链接中查看上一篇文章。
You can download python from the link below.
您可以从下面的链接下载python。
您对本文有什么期待？ (What can you expect from this article?)
Today, we will be looking into all the essential basic concepts of python required for machine learning. We will understand the various data structures of python and then proceed to dig deeper into the basics of all the libraries which are required for machine learning. We will cover all these concepts with some simple code snippets to gain a better grasping of these libraries and features. So, without further ado, let us get our hands dirty with some coding!
今天，我们将研究机器学习所需的所有python基本概念。 我们将了解python的各种数据结构，然后继续更深入地研究机器学习所需的所有库的基础。 我们将通过一些简单的代码片段覆盖所有这些概念，以更好地理解这些库和功能。 因此，事不宜迟，让我们开始编写一些代码吧！
