2023-scipy-pandas

This repository contains a Jupyter notebook for the Idiomatic Pandas tutorial. The notebook covers various topics and interactive exercises designed to reinforce your learning. You can run the notebook in a local virtual environment or directly in GitHub Codespaces.

Structure of the Repository

• idiomatic-pandas.ipynb - This notebook
• honest.fth - The data for the tutorial
• requirements.txt - This file lists the Python dependencies required to run the notebook.

Getting Started

Here's how you can set up and run this project:

Option 1: Running in Local Virtual Environment

1. Clone the Repository

   First, clone this repository to your local machine using the following command:

   git clone https://github.com/your_username/your_repository.git

2. Create and Activate Virtual Environment

   It is always a good practice to create a virtual environment for your Python projects. Here's how you can do it:

   For Windows:

   python -m venv tutorial_env
   tutorial_env\Scripts\activate

   For macOS/Linux:

   python3 -m venv tutorial_env
   source tutorial_env/bin/activate

3. Install Dependencies

   Once your virtual environment is activated, you can install the necessary dependencies using pip. Navigate to the directory containing requirements.txt file and run:

   pip install -r requirements.txt

4. Launch Jupyter Notebook

   After you have your environment set up and dependencies installed, you can start Jupyter notebook by running:

   jupyter notebook

   Then, in your web browser, navigate to the location of the notebook file and click to open it.

Option 2: Running in GitHub Codespaces

GitHub Codespaces is a service that allows you to develop in the cloud instead of locally. Here's how you can use it for this project:

1. Open the Repository in Codespaces

   Navigate to this repository in GitHub. Click the Code button in the repository header and then select Open with Codespaces.

2. Wait for a while

   To let the codespace start

3. Open the notebook

4. Click on "Select Kernel" -> Python Environments... -> Python 3.10

   You should be good to go.

Visit MetaSnake for Help

We hope you enjoy this tutorial and find it helpful. If you want to apply this process to your data with your teams, visit www.metasnake.com for Python and Data training for your teams. Buy Effective Pandas to up your pandas skills.