- Introduction
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Getting started with Anaconda Distribution
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What is Python? 00:02:13
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What are Modules, Packages, and Libraries? 00:02:01
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Anaconda Distribution versus Miniconda 00:01:47
- Installation
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Installing Anaconda (Windows) 00:02:37
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Installing Anaconda (Mac) 00:03:01
- conda overview
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Understanding Conda 00:02:24
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Conda Workflow: Creating Environments, Installing Packages, and Launching an IDE 00:04:17
- Integrated development environment (IDE) and Jupyter Notebook
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What is an IDE? 00:02:04
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What is Jupyter Notebook and JupyterLab? 00:06:16
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Getting Started with a Jupyter Notebook and JupyterLab 00:07:04
- Hands-on practice
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Create a simple Python program in Jupyter 00:02:25
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Create a simple Python program in Spyder 00:02:15
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Create a simple Python program in PyCharm 00:02:57
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Create a simple Python program in VS Code 00:01:40
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Create a simple Python program in a text editor 00:01:59
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Accessing old revisions 00:01:15
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Sharing an environment 00:02:32
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Conda cheat sheet
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End of Course Survey
Get Started with Anaconda
Take your first steps using Anaconda Distribution, working with conda, and writing your first Python program.
In this entry-level course, we’ll show you when and how to use Anaconda. You’ll learn about packages, conda environments, Jupyter Notebooks, integrated development environments (IDEs), and more. We’ll walk you through a Python program (in a notebook and in an IDE) and see what happens when a bug in Python code is identified.
By the end of this course, you’ll understand:
- How different parts of the technology stack work together
- Basic data science concepts and tools
- How to install Anaconda
- At least 5 common Python packages and their uses
- Useful libraries for data science and machine learning
- How to open and work with a Jupyter notebook or IDE
Questions? Issues? Join our Community page to get help.