kevinzakka

"""
Create train, valid, test iterators for CIFAR-10 [1].
Easily extended to MNIST, CIFAR-100 and Imagenet.

[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
"""

import torch
import numpy as np

barbietunnie

How to download your Udemy course videos using youtube-dl

$ youtube-dl --list-extractors | grep udemy

Steps

1. Get link to the course to download. e.g. https://www.udemy.com/course-name/
2. Login into udemy website, save the cookie from chrome using Chrome (Cookie.txt)[1] export extension. Save it to file udemy-cookies.txt
3. Get the link of the video that you want to download. usually in format. Use the command provided below where you have to replace the {course_link} and {path_to_cookies_file} with respective paths.

$ youtube-dl {course_link} --cookies {path_to_cookies_file}

gist:91865cb266659c2c3f24

'''A few notes before we begin

I'll separate my notes into three types, docstrings like this, whole line comments, and
inline comments. Docstrings will discuss the ideas behind the objects. What's the intent,
and what programming concepts do they present that are worth discussing. Full line comments
will discuss the details of the implementation. What the code is doing and why. Inline
comments will comprise a small portion of my notes, and are mostly to point out examples
mentioned in the rest of my notes, or return values. Another convention that I use is
backticks, which will be used to refer to an actual object in the code. If I say the word
one, it's just a word, but `one` is a reference to some object in code.