00:00 Let's review what we've learned so far.

00:02 First, we did some setup.

00:06 We had to create a virtual environment

00:08 and pip install pygithub.

00:11 Then, we looked at how you can create a Github object

00:14 to interface with the API.

00:19 Use the get_user method to get info off our PyBites user

00:24 and we've seen that you can use help

00:27 to inspect that object

00:29 to see all the methods and attributes available.

00:34 The same with there.

00:37 And even more interesting, you can use pdb

00:39 to live inspect your code as it is running.

00:42 That was very useful for me working with this module.

00:45 Then we wrote a script

00:46 to get the most popular repos of PyBites.

00:51 We use the get_repos method of the API

00:53 and saw how you can use lambda to sort on an attribute,

00:57 in this case, stars, of the namedtuple

01:00 to get the most popular repo at the top.

01:05 Which lead to this output

01:06 and the Github API offers a ton of data.

01:09 And lastly, we did a post request

01:11 to the API by creating a gist.

01:15 We created an access token and we saw how you can load it

01:18 into your script via the os.environ method.

01:23 We made a Github object with the token

01:26 and saw that the rate limiting increased.

01:29 So you can make more calls to the API

01:30 when you're authenticated.

01:33 Then we used to create_gist method

01:36 to get all of the input file content

01:38 to post code to the Github API.

01:40 So we had some code, which was actually a script we wrote,

01:44 and we used the method saying public True, script name,

01:48 code, wrapped into the input file content method,

01:52 and a description.

01:53 Look at that.

01:54 That created a gist on Github.

01:58 And now it's your turn.

01:59 Keep calm and code in Python.