Download your completed courses on Datacamp easily!
Project description
Datacamp Downloader
Table of Contents
Description
Datacamp Downloader is a command-line interface tool developed in Python in order to help you download your completed contents on Datacamp and keep them locally on your computer.
Datacamp Downloader helps you download all videos, slides, audios, exercises, transcripts, datasets and subtitles in organized folders.
The design and development of this tool was inspired by udacimak
Datacampers!
If you find this CLI helpful, please support the developers by starring this repository.
Installation
PIP
If you use pip, you can install datacamp-downloader with:
pip install datacamp-downloader
From source
You can directly clone this repo and install the tool. First clone the repo with:
git clone https://github.com/TRoboto/datacamp-downloader.git
Then cd to the directory and install the tool with:
pip install .
Autocompletion
To allow command autocompletion with [TAB][TAB]
, run:
datacamp --install-autocompletion
Then restart the terminal.
Note: autocompletion might not be supported by all operating systems.
Documentation
The available commands with full documentation can be found in docs
Getting Started
IMPORTANT
You must have a Datacamp account with active subscription to use the tool.
Login
- To login using your username or password, run:
datacamp login -u [USERNAME] -p [PASSWORD]
or simply run:
datacamp login
- To login using Datacamp authentication token, run:
datacamp set-token [TOKEN]
Datacamp authentication token can be found in Datacamp website browser cookies. To get your Datacamp authentication, follow these steps:
Firefox
- Visit datacamp.com and log in.
- Open the Developer Tools (press
Cmd + Opt + J
on MacOS orF12
on Windows). - Go to Storage tab, then Cookies >
https://www.datacamp.com
- Find
_dct
key, its Value is the Datacamp authentication token.
Chrome
- Visit datacamp.com and log in.
- Open the Developer Tools (press
Cmd + Opt + J
on MacOS orF12
on Windows). - Go to Application tab, then Storage > Cookies >
https://www.datacamp.com
- Find
_dct
key, its Value is the Datacamp authentication token.
Security Note
Datacamp authentication token is a secret key and is unique to you. You should not share it publicly.
If you provided valid credentials, you should see the following:
Hi, YOUR_NAME
Active subscription found
Download
First, you should list your completed courses/track.
To list your completed courses, run:
datacamp courses
To list your completed tracks, run:
datacamp tracks
Similar output to this should appear with your completed courses/tracks:
+----+-------+-----------------------------------------------------+----------+-----------+--------+
| # | ID | Title | Datasets | Exercises | Videos |
+====+=======+=====================================================+==========+===========+========+
| 1 | 799 | Intermediate Python | 3 | 69 | 18 |
+----+-------+-----------------------------------------------------+----------+-----------+--------+
| 2 | 15876 | Writing Functions in Python | 0 | 31 | 15 |
+----+-------+-----------------------------------------------------+----------+-----------+--------+
| 3 | 14630 | Writing Efficient Code with pandas | 3 | 31 | 14 |
+----+-------+-----------------------------------------------------+----------+-----------+--------+
| 4 | 1550 | Statistical Thinking in Python (Part 2) | 10 | 51 | 15 |
+----+-------+-----------------------------------------------------+----------+-----------+--------+
| 5 | 13369 | Writing Efficient Python Code | 1 | 38 | 15 |
+----+-------+-----------------------------------------------------+----------+-----------+--------+
| 6 | 15108 | Introduction to TensorFlow in Python | 3 | 36 | 15 |
+----+-------+-----------------------------------------------------+----------+-----------+--------+
| 7 | 15974 | Unit Testing for Data Science in Python | 0 | 38 | 17 |
+----+-------+-----------------------------------------------------+----------+-----------+--------+
| 8 | 14336 | Feature Engineering for Machine Learning in Python | 2 | 37 | 16 |
+----+-------+-----------------------------------------------------+----------+-----------+--------+
| 9 | 16921 | Image Processing in Python | 1 | 38 | 16 |
+----+-------+-----------------------------------------------------+----------+-----------+--------+
| 10 | 15162 | Model Validation in Python | 2 | 32 | 15 |
+----+-------+-----------------------------------------------------+----------+-----------+--------+
Now, you can download any of the courses/tracks with:
datacamp download id1 id2 id3
For example to download the first and fifth course, run:
datacamp download 799 13369
- To download all your completed courses, run:
datacamp download all
- To download all your completed tracks, run:
datacamp download all-t
This by default will download videos, slides, datasets, exercises, english subtitles and transcripts in organized folders in the current directory.
To customize this behavior see datacamp download
command in the docs.
User Privacy
datacamp
creates a session file with your credentials saved in the temp folder. If you no longer need to use the tool, it is preferable to reset the session, which will remove the saved file, with:
datacamp reset
Disclaimer
This CLI is provided to help you download Datacamp courses/tracks for personal use only. Sharing the content of the courses is strictly prohibited under Datacamp's Terms of Use.
By using this CLI, the developers of this CLI are not responsible for any law infringement caused by the users of this CLI.
Project details
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