#100DaysOfCode in Python Transcripts
Chapter: Days 61-63: Using the Github API with Python
Lecture: Concepts: what did we learn
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Let's review what we've learned so far.
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First, we did some setup.
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We had to create a virtual environment
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and pip install pygithub.
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Then, we looked at how you can create a Github object
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to interface with the API.
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Use the get_user method to get info off our PyBites user
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and we've seen that you can use help
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to inspect that object
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to see all the methods and attributes available.
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The same with there.
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And even more interesting, you can use pdb
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to live inspect your code as it is running.
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That was very useful for me working with this module.
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Then we wrote a script
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to get the most popular repos of PyBites.
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We use the get_repos method of the API
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and saw how you can use lambda to sort on an attribute,
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in this case, stars, of the namedtuple
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to get the most popular repo at the top.
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Which lead to this output
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and the Github API offers a ton of data.
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And lastly, we did a post request
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to the API by creating a gist.
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We created an access token and we saw how you can load it
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into your script via the os.environ method.
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We made a Github object with the token
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and saw that the rate limiting increased.
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So you can make more calls to the API
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when you're authenticated.
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Then we used to create_gist method
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to get all of the input file content
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to post code to the Github API.
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So we had some code, which was actually a script we wrote,
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and we used the method saying public True, script name,
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code, wrapped into the input file content method,
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and a description.
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Look at that.
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That created a gist on Github.
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And now it's your turn.
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Keep calm and code in Python.
