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Learning Python Data Visualization

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Learning Python Data Visualization
Learning Python Data Visualization
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 565 MB
Genre: eLearning | Language: English

This video course is a beginner’s introduction to data visualization, and the techniques and libraries which can be leveraged with the Python language to achieve this. The end goal is to teach analysts and data scientists how they can visually represent complex sets of data using Python.
The video course introduces visualization concepts so viewers can analyze large and small sets of data using libraries such as Matplotlib, IPython, and so on.

This course primarily employs the IPython environment and matplotlib, with the following structure:

Introduce key data visualization libraries (matplotlib and so on.) and cover data importing/exporting (CSV, Excel, JSON and so on).
Introduce real-world data sets (to be visualized in the video).
Visualization types/techniques (bar chart, histogram, scatter plot, geospatial, and so on); demonstrate how to customize visualizations.
Introduce intermediate topics to create more advanced visualizations and using complex techniques, such as real-time data visualization.
By the end of the course, you will be able to demonstrate visualizations with interesting, real-world data sets.

The code bundle for this video course is available at- https://github.com/PacktPublishing/Learning-Python-Data-Visualization

Learning Python Data Visualization

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  1. 学习Python数据可视化 本教程是初学者的数据可视化入门教程,所讲到的技术和类库可应用于Python。本教程的目标是要为分析员和数据科学家带去使用Python可视化地呈现复杂的数据集的技术。 本教程所讲到的内容包含了可视化概念,学习者可使用如Matplotlib何IPython等类库分析大型和小型的数据集。 本教程主要使用IPython环境和matplotlib,讲授如下内容: • 介绍关键的数据可视化类库以及数据的导入和导出; • 介绍真正的数据集 • 可视化类型 介绍创建更高级可视化的技术以及使用复杂的实时数据可视化技术
    wilde(特殊组-翻译)3周前 (05-03)