- Introduction
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Getting started with Anaconda Distribution
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What is Python? 00:01:07
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What are Modules, Packages, and Libraries? 00:02:01
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Anaconda Distribution versus Miniconda 00:01:33
- Installation
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Installing Anaconda (Windows) 00:02:19
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Installing Anaconda (Mac) 00:02:33
- 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
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Anaconda Navigator Overview 00:04:00
- 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? 00:08:24
- 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
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Course Completion
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 tools. 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. Check out the Introduction to Python Programming Learning Path to learn more about using Python.
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.