https://github.com/slott56/pivot-to-python

Repository with examples from the Pivot to Python book
https://github.com/slott56/pivot-to-python

Last synced: 7 days ago
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Repository with examples from the Pivot to Python book

• Host: GitHub
• URL: https://github.com/slott56/pivot-to-python
• Owner: slott56
• License: mit
• Created: 2021-09-22T11:29:57.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-08-28T17:41:00.000Z (3 months ago)
• Last Synced: 2024-08-28T19:29:00.666Z (3 months ago)
• Language: Jupyter Notebook
• Homepage: https://books.apple.com/us/book/pivot-to-python/id1586977675
• Size: 177 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

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README

        
###############

pivot-to-python

###############

Components and examples from the Pivot to Python book.

Installation

=============

There are several steps to getting this ready for experimentation.

The book uses **uv**, https://astral.sh/blog/uv-unified-python-packaging.

Start by installing **uv**.

https://docs.astral.sh/uv/getting-started/installation/

1.  Clone or download this https://github.com/slott56/pivot-to-python.git repository.

    Use desktop ``git clone`` or the a GUI tool like GitHub Desktop https://desktop.github.com/download/.

    ..  code-block:: bash

        % git clone https://github.com/slott56/pivot-to-python.git

2.  Change to the downloaded directory.

    ..  code-block:: bash

        % cd pivot-to-python

3.  Initialize a UV project with Python 3.12

    ..  code-block:: bash

        % uv init --python 3.12

4.  Install the "extras" to run the test cases.

    ..  code-block:: bash

        % uv sync --all-extras

Upgrades

--------

To get **all** the latest and greatest versions of package, use the following command:

..  code-block:: bash

    ..  code-block:: bash

        % uv sync --all-extras --upgrade

Content

=======

There are separate directories for **data**, **notebooks**, **src**, and **tests**.

Diagrams are in **docs**.

They were built with PlantUML. See https://plantuml.com for more information.