معرفی شرکت ها
datacamp-downloader-3.2
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Download your completed courses on Datacamp easily!
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | datacamp-downloader-3.2 |
| نام | datacamp-downloader |
| نسخه کتابخانه | 3.2 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Mohammad Al-Fetyani |
| ایمیل نویسنده | m4bh@hotmail.com |
| آدرس صفحه اصلی | https://github.com/TRoboto/datacamp-downloader |
| آدرس اینترنتی | https://pypi.org/project/datacamp-downloader/ |
| مجوز | - |
# Datacamp Downloader
[](https://github.com/TRoboto/datacamp-downloader/blob/master/LICENSE)
[](https://pypi.org/project/datacamp-downloader/)
[](https://github.com/TRoboto/datacamp-downloader/blob/master/docs.md)
[](https://pepy.tech/project/datacamp-downloader)
[](https://github.com/TRoboto/datacamp-downloader/stargazers)
[](https://github.com/TRoboto/datacamp-downloader/network/members)
[](https://github.com/TRoboto/datacamp-downloader/graphs/contributors)
## Table of Contents
- [Datacamp Downloader](#datacamp-downloader)
- [Table of Contents](#table-of-contents)
- [Description](#description)
- [Installation](#installation)
- [PIP](#pip)
- [From source](#from-source)
- [Autocompletion](#autocompletion)
- [Documentation](#documentation)
- [Getting Started](#getting-started)
- [Login](#login)
- [Download](#download)
- [User Privacy](#user-privacy)
- [Disclaimer](#disclaimer)
## Update
Datacamp Downloader V3.2 is now available. The major change is that the tool now uses selenium for the backend. See changelog for version [3.0](https://github.com/TRoboto/datacamp-downloader/pull/39), [3.1](https://github.com/TRoboto/datacamp-downloader/pull/42)
and [3.2](https://github.com/TRoboto/datacamp-downloader/pull/47).
## Description
Datacamp Downloader is a command-line interface tool developed in Python
in order to help you download your completed contents on [Datacamp](https://datacamp.com)
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](https://github.com/udacimak/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 with:
```
pip install git+https://github.com/TRoboto/datacamp-downloader.git
```
### 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](https://github.com/TRoboto/datacamp-downloader/blob/master/docs.md)
## Getting Started
### 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**
1. Visit [datacamp.com](https://datacamp.com) and log in.
2. Open the **Developer Tools** (press `Cmd + Opt + J` on MacOS or `F12` on Windows).
3. Go to **Storage tab**, then **Cookies** > `https://www.datacamp.com`
4. Find `_dct` key, its **Value** is the Datacamp authentication token.
**Chrome**
1. Visit [datacamp.com](https://datacamp.com) and log in.
2. Open the **Developer Tools** (press `Cmd + Opt + J` on MacOS or `F12` on Windows).
3. Go to **Application tab**, then **Storage** > **Cookies** > `https://www.datacamp.com`
4. 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
```
> Active subscription is not required anymore.
### 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 | Introduction to Python | 2 | 46 | 11 |
+--------+------------------------------------------+------------+------------+------------+
| 2 | Introduction to SQL | 1 | 40 | 1 |
+--------+------------------------------------------+------------+------------+------------+
| 3 | Intermediate Python | 3 | 69 | 18 |
+--------+------------------------------------------+------------+------------+------------+
| 4 | Introduction to Data Science in Python | 0 | 31 | 13 |
+--------+------------------------------------------+------------+------------+------------+
| 5 | Data Science for Everyone | 0 | 33 | 15 |
+--------+------------------------------------------+------------+------------+------------+
| 6 | Joining Data in SQL | 3 | 40 | 13 |
+--------+------------------------------------------+------------+------------+------------+
| 7 | Data Manipulation with pandas | 4 | 41 | 15 |
+--------+------------------------------------------+------------+------------+------------+
| 8 | Supervised Learning with scikit-learn | 7 | 37 | 17 |
+--------+------------------------------------------+------------+------------+------------+
| 9 | Machine Learning for Everyone | 0 | 25 | 12 |
+--------+------------------------------------------+------------+------------+------------+
| 10 | Python Data Science Toolbox (Part 1) | 1 | 34 | 12 |
+--------+------------------------------------------+------------+------------+------------+
```
Now, you can download any of the courses/tracks with:
```
datacamp download id1 id2 id3
```
For example to download the first and second course, run:
```
datacamp download 1 2
```
- 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](https://github.com/TRoboto/datacamp-downloader/blob/master/docs.md).
## 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](https://www.datacamp.com/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.
نیازمندی
| مقدار | نام |
|---|---|
| ==1.6.3 | texttable |
| >=3.0.3 | undetected-chromedriver |
| >=4.0.0b4 | selenium |
| ==1.1.0 | termcolor |
| ==0.4.4 | colorama |
| ==0.1.3 | tomd |
| ==0.3.2 | typer |
| >=2.25.1 | requests |
| >=4.9.3 | beautifulsoup4 |
| >=6.2.4 | pytest |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl datacamp-downloader-3.2:
pip install datacamp-downloader-3.2.whl
نصب پکیج tar.gz datacamp-downloader-3.2:
pip install datacamp-downloader-3.2.tar.gz