English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 0h 47m | 280 MB
Python is the world’s most popular language for doing data science, in part because of the numerous Python libraries available for cleaning data, plotting data, building machine-learning models, and more. In the inaugural video in this landmark series, Eric provides an introduction to data science, helps you set up a Python development environment, and introduces key tools such as Jupyter notebooks and Matplotlib.
Table of Contents
00:00:00 Introduction
00:01:11 Overview of Data Science
00:05:00 Setting Up Development Tools
00:10:40 Installing Anaconda, PostgreSQL, and Visual Studio Code (Demo)
00:16:50 Setting Up a Data Science Project
00:20:45 Using Conda to Manage Packages and Environments (Demo)
00:27:39 Jupyter Notebooks
00:30:39 Jupyter Notebooks in Action (Demo)
00:35:07 Visual Studio Code with Jupyter Notebooks
00:36:35 Configuring Jupyter Notebooks VS Code Extension (Demo)
00:39:58 Plotting Data with Matplotlib
00:41:42 Matplotlib in Action (Demo)
00:47:28 Conclusion
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