TalkPython – Python Data Visualization

这门课程是关于什么的，它有什么不同？

python 数据可视化领域有许多不同的库。它们都强大且有用，但确定最适合您的方法可能会令人困惑。本课程是独一无二的，因为您将了解许多最流行的 Python 可视化库。您将首先学习如何使用每个库来构建简单的可视化。您还将探索更复杂的用法并确定每个库的亮点。

在本课程结束时，您将掌握如何使用多个库在 python 中可视化数据的基本工作知识。您还将了解哪个库最适合您和您的编码风格。在此过程中，您将学习一般的可视化概念，以使您的绘图更有效。

除了概述材料之外，我们还将介绍一些更复杂的交互式可视化仪表板技术。

本课程涵盖哪些主题，您将

查看 python 可视化领域
探索核心可视化概念
使用 matplotlib 构建和自定义可视化
使用 pandas 构建和自定义简单绘图
了解 seaborn 并将其用于统计可视
化 使用 Altair 创建可视化 使用
Plotly 库生成交互式绘图 使用
Streamlit 设计交互式仪表板
高度构建使用 Plotly 的 Dash 框架的自定义和灵活的仪表板
查看完整的课程大纲。

这门课程是为谁准备的？
对 Python 有一定经验但尚未具备 Python 可视化库能力的开发人员和数据分析师。本课程对于那些感到受当前绘图工具限制并希望探索其他选项的人也很有帮助。

注意：本课程中使用的所有软件，包括编辑器、Python 语言等，都是 100% 免费和开源的。您无需购买任何东西即可参加该课程。

以简洁的视觉效果为后盾的概念
虽然通过演示和实时代码以交互方式探索一个主题非常吸引人，但这可能意味着只见树木不见森林。这就是为什么当我们遇到一个新话题时，我们会停下来用简洁明了的视觉效果进行讨论。

Released 09/2022
MP4 | Video: h264, 2560×1440 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 144 Lessons (4h 36m) | Size: 777 MB

Source code and course GitHub repository
github.com/talkpython/python-data-visualization

What’s this course about and how is it different?

The python data visualization landscape has many different libraries. They are all powerful and useful but it can be confusing to determine what works best for you. This course is unique because you will learn about many of the most popular python visualization libraries. You will start by learning how to use each library to build simple visualizations. You will also explore more complex usage and identify the scenarios where each library shines.

By the end of this course, you will have a basic working knowledge of how to visualize data in python using multiple libraries. You will also learn which library is best for you and your coding style. Along the way, you’ll learn general visualization concepts to make your plots more effective.

In addition to the overview material, we will cover some of the more complex, interactive visualization dashboard technologies.

What topics are covered
In this course, you will

Review the python visualization landscape
Explore core visualization concepts
Use matplotlib to build and customize visualizations
Build and customize simple plots with pandas
Learn about seaborn and use it for statistical visualizations
Create visualizations using Altair
Generate interactive plots using the Plotly library
Design interactive dashboards using Streamlit
Construct highly custom and flexible dashboards using Plotly’s Dash framework
View the full course outline.

Who is this course for?
Developers and Data Analysts that have some experience with python but have not developed a competency in a python visualization library. This course is also helpful for those that feel restricted by their current plotting tools and wish to explore other options.

Note: All software used during this course, including editors, Python language, etc., are 100% free and open source. You won’t have to buy anything to take the course.

Concepts backed by concise visuals
While exploring a topic interactively with demos and live code is very engaging, it can mean losing the forest for the trees. That’s why when we hit a new topic, we stop and discuss it with concise and clear visuals.