> For the complete documentation index, see [llms.txt](https://ai-javaher.gitbook.io/pythonclass/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-javaher.gitbook.io/pythonclass/welcome/training-overview.md).

# Training overview

<figure><img src="/files/lHHy9OZWt3FvQHHFwQ1b" alt=""><figcaption><p>Traning Overview in Python</p></figcaption></figure>

Our comprehensive training program is designed to take you from a beginner to a proficient Python programmer. We kick off with the fundamentals by guiding you through the installation of Python on your local system. Following this, we delve into two intermediate sessions that lay a solid foundation for your Python journey.

The subsequent sessions are dedicated to two essential libraries – NumPy and Pandas. These libraries are pivotal for anyone looking to embark on a Python learning journey, serving as the cornerstone for a multitude of projects. The progression of sessions is carefully structured to build upon each other, creating a seamless learning experience. We strongly recommend starting from the first session, but if circumstances prevent attendance, we advise watching the previous session's video to catch up on crucial concepts.

Understanding the importance of these libraries, we devote two sessions to NumPy and three sessions to Pandas, ensuring a thorough exploration of their capabilities. All materials, including documentation and session videos, are conveniently available on our platform. Stay updated with the latest documents and upcoming workshop sessions to make the most of your Python learning journey.&#x20;

[**Join us**](http://go.unimelb.edu.au/6mhi), and let's code together toward mastery!

<br>


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# Agent Instructions
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