Python Data Structures and Comprehensions Live Training

This is the code for the O'Reilly Live Training - Python Data Structures and Comprehensions presented by Arianne Dee

For this class, you will need:

1. Python 3.7 or higher installed on your computer
   • Installed from the Python website or through Anaconda
2. A copy of the course files
   • Cloned (ideal) or downloaded
3. Jupyter, NumPy and Pandas installed
   • $ pip install jupyter numpy pandas
4. Run the notebooks
   • $ jupyter-lab or $ jupyter notebook
5. Fill out a short survey: https://forms.gle/KCSXZy7tHeb1B9ce8
   • We will analyze the results during the class.

There are detailed set up instructions for each step below.

If you have further questions, please email arianne.dee.studios at gmail dot com.

Detailed setup instructions

1. Install Python
2. Download the code
3. Install external packages
4. Run the notebooks

1. Install Python 3.7 or higher

If you have been using Python for data science, you probably have it installed already through Anaconda.

If not, or you're not sure, the easiest way to get Python is to download it from the website.

1. Go to https://www.python.org/downloads/
2. Click the yellow button at the top to download the latest version of Python (e.g. 3.11.1)
3. Complete installation
   1. On Mac or Linux
      • Follow the prompts and install using the default settings.
   2. On Windows
      1. If you're just installing Python now, follow: Windows Python installer instructions
      2. If you've already installed Python with the default settings, follow: Add Python to PATH variable in Windows

2. Download the course files

GitHub repository link: https://github.com/ariannedee/python-data-structures

If you know git:

Clone the repository.

$ git clone https://github.com/ariannedee/python-data-structures.git

If you don't know git:

1. Click the green "< > Code" button at the top-right of the page
2. Click "Download ZIP"
3. Unzip it and move the python-data-structures-main folder to a convenient location

3. Install external Python packages

Jupyter, NumPy and Pandas need to be installed.

In a terminal: pip3 install jupyter numpy pandas

4. Run Jupyter

Navigate to your cloned or downloaded code, then run:

• $ jupyter-lab to open the notebooks in Jupyter Lab in your browser; or
• $ jupyter notebook to open the classic Jupyter Notebook