#100DaysOfCode in Python Transcripts
Chapter: Days 61-63: Using the Github API with Python
Lecture: Concepts: what did we learn
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0:00
Let's review what we've learned so far. First, we did some setup. We had to create a virtual environment and pip install pygithub.
0:12
Then, we looked at how you can create a Github object to interface with the API. 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 to inspect that object to see all the methods and attributes available. The same with there.
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And even more interesting, you can use pdb to live inspect your code as it is running. That was very useful for me working with this module.
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Then we wrote a script to get the most popular repos of PyBites. 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, in this case, stars, of the namedtuple to get the most popular repo at the top.
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Which lead to this output and the Github API offers a ton of data. And lastly, we did a post request to the API by creating a gist.
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We created an access token and we saw how you can load it into your script via the os.environ method. We made a Github object with the token
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and saw that the rate limiting increased. So you can make more calls to the API when you're authenticated. Then we used to create_gist method
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to get all of the input file content to post code to the Github API. 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, code, wrapped into the input file content method, and a description. Look at that.
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That created a gist on Github. And now it's your turn. Keep calm and code in Python.