https://github.com/icheft/mgt2001
https://github.com/icheft/mgt2001
Last synced: about 1 year ago
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- Host: GitHub
- URL: https://github.com/icheft/mgt2001
- Owner: icheft
- License: mit
- Created: 2020-09-28T12:24:08.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-07-06T11:28:33.000Z (about 5 years ago)
- Last Synced: 2025-04-20T21:03:33.439Z (over 1 year ago)
- Language: Python
- Homepage: https://pypi.org/project/mgt2001/
- Size: 320 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
mgt2001 - THE Package for IM Stats Series @ NTU
A small package for MGT 2001 and MGT 2002 use only.
Intro •
Getting Started •
Usage •
Contribution
## Intro
The goal for this python package is to provide NTUIM students with an easier solution for Statistics courses, i.e. MGT2001 and MGT2002. This can be labelling issues in bar charts, generating a set of colors, and many more. Throughout the course, we hope to fill this package with useful and handy functions that can be used in the assignments, quizzes, and probably even for the future projects.
The official documentation for this package is available [here](https://icheft.github.io/mgt2001-docs), and its repository can be accessed [here](https://github.com/icheft/mgt2001-docs).
## Getting Started
### Terminal
Should be able to install the package via PyPI:
```sh
pip install mgt2001
```
If you have already installed and are considering an update:
```sh
pip install mgt2001 --upgrade
```
### Notebook
If you are on Windows, this method probably serves you better. Just copy the above code onto any of the code blocks.
Should be exactly the same, but instead of copying and pasting the whole text, add a `!` at the beginning of the line.
It is installable via:
```sh
!pip install mgt2001
# or locally
%pip install mgt2001
```
or
```sh
!pip install mgt2001 --upgrade
# or locally
%pip install mgt2001 --upgrade
```
Which again depends on your needs.
## How to Use
Most of the usage is covered in the [documentation](https://icheft.github.io/mgt2001-docs) along with miscellaneous statistic notes. Feel free to play around.
You can always get started from:
```py
import mgt2001
```
⚠️ For local development, try `pip install -e ./` in your Python environment. Will update more on this part later 🥵
## Contribution
PR and forking are all welcomed. Please help build the more perfect version of `mgt2001` that can help students learn statistics with ease.