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Guide · Open source

How to use code_snippets: clone and run Corey Schafer's examples

Updated · written with AI from the project's own documentation and checked against our catalogue data

code_snippets is a GitHub repository by CoreyMSchafer that collects code snippets from Corey Schafer's Python tutorial videos. It is aimed at beginners and learners who want to follow along with the videos using matching example code. This guide shows how to get a local copy and what you can and cannot expect from the repository's documentation.

code_snippetsCoreyMSchafer/code_snippets · ★ 10.6k · MIT

Quick start

  1. 1Open the repository. Go to github.com/CoreyMSchafer/code_snippets in your browser to see the files.
  2. 2Clone it. Run git clone https://github.com/CoreyMSchafer/code_snippets in a terminal to download a local copy.
  3. 3Pick the matching video. Find the video from Corey Schafer's Python tutorials that you want to follow.
  4. 4Locate the matching snippet. Look through the cloned files for the example that corresponds to that video.
  5. 5Compare with your own code. Place your code next to the example and compare the two to see differences.

What is code_snippets?

The repository is described as a collection of code snippets from Corey Schafer's Python tutorial videos. Its primary language is listed as Jupyter Notebook, which suggests the examples are organized as notebook files, though the README provided here does not confirm the exact file layout.

Who should use code_snippets?

The repository fits people who are following Corey Schafer's Python tutorial videos and want the matching code, beginners who learn by reading and running examples, and learners who want to compare their own code against working examples.

  • Viewers following the Python tutorial videos who want the matching code
  • Beginners who learn Python by reading and running example code
  • Learners who want to check their own code against working examples

Clone the repository to your computer

The install method is a clone rather than a package installation. The README lists one command to get a local copy. No prerequisites are listed in the source, so this guide does not add any.

git clone https://github.com/CoreyMSchafer/code_snippets

Find the snippet that matches a video

Once the repository is on your machine, look through its contents for the example that matches the video you are watching. The README provided contains only a title, so the naming scheme and folder structure are not documented in the source. Check the file names and the video description to match them up.

What code_snippets does not provide

code_snippets is a set of examples, not a library or tool to install into a project. The README provided does not describe a package, so do not expect to import it into your own code. Because the README contains only a title, there is no usage documentation in the source beyond the clone command.

What people use it for

  • Following along with a Corey Schafer Python tutorial video using the matching example code
  • Reading working Python examples as a beginner who learns by reviewing code
  • Comparing your own solution to a tutorial example to spot differences
  • Keeping a local copy of the snippets for offline reference

Frequently asked questions

How do I install code_snippets?

The source lists a single install step: clone the repository with git clone https://github.com/CoreyMSchafer/code_snippets. There is no package install listed, because the repository is a set of examples rather than a library.

Is code_snippets free to use?

The repository is licensed under the MIT License, as listed in its project details. The MIT License is a permissive open-source licence, so check its terms if you plan to reuse the code.

What programming language is code_snippets written in?

The primary language listed is Jupyter Notebook. This suggests the examples are notebook-based, though the README provided does not describe the files in detail.

Does code_snippets have requirements or prerequisites?

The source does not list any prerequisites. Cloning the repository is the only install method given, so no other setup is documented here.

Is code_snippets a Python library I can import?

No. It is best understood as a set of examples from tutorial videos. The README does not describe a package, so it is not meant to be installed into a project as a tool.

What are alternatives to code_snippets?

No comparable projects are listed in the source. For broader Python learning material, you would need to look elsewhere, since this guide cannot recommend specific alternatives from the provided information.

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Our verdict

code_snippets is a good pick if you are following Corey Schafer's Python tutorial videos and want the matching code to read and compare against your own work. Skip it if you need a library or tool to install into a project, or if you need detailed documentation, since the README provided contains only a title.

Install options & downloads