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https://github.com/szymon-budziak/codebrainers

CodeBrainers teaching materials.
https://github.com/szymon-budziak/codebrainers

data-science django django-rest-framework python teaching teaching-materials

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CodeBrainers teaching materials.

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# CodeBrainers

CodeBrainers teaching materials.

# Table of contents

1. [Django](https://github.com/Szymon-Budziak/CodeBrainers/tree/main/Django):
- [Group 1](https://github.com/Szymon-Budziak/CodeBrainers/tree/main/Django/Group_1)
- [Group 2](https://github.com/Szymon-Budziak/CodeBrainers/tree/main/Django/Group_2)
- [Group 3](https://github.com/Szymon-Budziak/CodeBrainers/tree/main/Django/Group_3)
2. [Data science](https://github.com/Szymon-Budziak/CodeBrainers/tree/main/Data%20science)
- [Matplotlib](https://github.com/Szymon-Budziak/CodeBrainers/blob/main/Data%20science/Matplotlib.ipynb)

To start with any of the available materials, do the following:

__1. In your terminal create a new folder where you would like to store the repository:__

```bash
mkdir Django_project
cd Django_project
```

__2. Clone repository by typing:__

```bash
git clone https://github.com/Szymon-Budziak/CodeBrainers.git
```

__3. Create new virtual environment and activate it:__

- Linux/macOS machine:

```
python -m venv venv
source venv/bin/activate
```

(if python is not working try using *python3*)

- Windows machine:

```
py -m venv venv
venv\Scripts\activate
```

this will create new activated virtual environment with `venv` name.

__5. Enter either Django course and specific group Data science and install required packages:__

```bash
pip install -r requirements.txt
```