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https://github.com/abikesa/why-python

Why Use Python?
https://github.com/abikesa/why-python

admin freetool gui numeracy software web

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Why Use Python?

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README 

        
![logo](https://upload.wikimedia.org/wikipedia/commons/thumb/c/c3/Python-logo-notext.svg/230px-Python-logo-notext.svg.png)



![](python.png)



                                   1. Numeracy

                                               \

                                      2. GUI -> 4. Web -> 5. Admin -> 6. Software

                                               /

                                               3. Tools



### Personal 1, 2, [3](https://www.python.org)

### Interpersonal 4

### Group 5, 6



# Usage



To quickly run Python code that I provide, you can follow these steps:



1. **Install Python**: Make sure you have Python installed on your machine. You can download it from [python.org](https://www.python.org/).



2. **Set Up a Virtual Environment**: It's a good practice to create a virtual environment for your projects to manage dependencies.



    ```bash

    python -m venv myenv

    ```



3. **Activate the Virtual Environment**:



    - On Windows:

      ```bash

      myenv\Scripts\activate

      ```

    - On macOS and Linux:

      ```bash

      source myenv/bin/activate

      ```



4. **Install Necessary Packages**: Use `pip` to install any packages required for the code. I will usually list them if they are needed.



    ```bash

    pip install package_name

    ```



5. **Run the Python Script**: Save the code I provide into a `.py` file (e.g., `script.py`) and run it using the Python interpreter.



    ```bash

    python script.py

    ```



Alternatively, you can use Jupyter Notebook or VSCode for an interactive environment:



### Using Jupyter Notebook



1. **Install Jupyter**:

    ```bash

    pip install jupyterlab

    ```



2. **Launch Jupyter Notebook**:

    ```bash

    jupyter notebook

    ```



3. **Create a New Notebook**: In your browser, create a new notebook and copy-paste the code into a cell. Run the cell to execute the code.



### Using VSCode



1. **Install VSCode**: Download and install [VSCode](https://code.visualstudio.com/).



2. **Install Python Extension**: Open VSCode and install the Python extension from the Extensions marketplace.



3. **Open a New File**: Create a new Python file (e.g., `script.py`), paste the code, and save the file.



4. **Run the Code**: You can run the code directly in VSCode by right-clicking the file and selecting "Run Python File in Terminal."



These methods should provide you with quick and efficient ways to run Python code on your machine.



```python

import networkx as nx

import matplotlib.pyplot as plt



G = nx.DiGraph()

G.add_node("1. Root", pos=(-2500, 700))

G.add_node("2. Pentatonic", pos=(-4200, 0))

G.add_node("3. Diatonic", pos=(-2500, -700))

G.add_node("4. Chromatic", pos=(-1000, 0))

G.add_node("5. Temperament", pos=(1500, 0))

G.add_node("6. Expression", pos=(4000, 0))



G.add_edges_from([("1. Root", "4. Chromatic")])

G.add_edges_from([("2. Pentatonic", "4. Chromatic")])

G.add_edges_from([("3. Diatonic", "4. Chromatic")])

G.add_edges_from([("4. Chromatic", "5. Temperament")])

G.add_edges_from([("5. Temperament", "6. Expression")])



pos = nx.get_node_attributes(G, 'pos')

labels = {"4. Chromatic": "4. Agency",

          "1. Root": "1. Challenges",

          "2. Pentatonic": "2. Skills",

          "3. Diatonic": "3. Tools",

          "5. Temperament": "5. Flow",

          "6. Expression": "6. Growth"}  # Added label for "NDI" node in the labels dictionary



# Update color for the "Scenarios" node

node_colors = ["lightblue","lightblue", "lightblue", "lavender", "lightblue", "lightblue"]

# node_colors = ["lightblue","lavender", "lavender", "lightgreen", "lightpink", "lightpink"]

# Suppress the deprecation warning

import warnings

warnings.filterwarnings("ignore", category=DeprecationWarning)



plt.figure(figsize=(10, 8))

nx.draw(G, pos, with_labels=False, node_size=20000, node_color=node_colors, linewidths=2, edge_color='black', style='solid')

nx.draw_networkx_labels(G, pos, labels, font_size=14) # , font_weight='bold'

nx.draw_networkx_edges(G, pos, edge_color='black', style='solid', width=2)

plt.xlim(-5000, 5000)

plt.ylim(-1000, 1000)

plt.axis("off")

plt.show()

```