Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/packtworkshops/the-python-workshop
A New, Interactive Approach to Learning Python
https://github.com/packtworkshops/the-python-workshop
algorithms data-science gridsearchcv linear-regression logistic-regression machine-learning python pytorch random-forests randomizedsearchcv structure types
Last synced: 4 days ago
JSON representation
A New, Interactive Approach to Learning Python
- Host: GitHub
- URL: https://github.com/packtworkshops/the-python-workshop
- Owner: PacktWorkshops
- License: mit
- Created: 2019-10-08T08:15:22.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-11-08T00:16:34.000Z (over 1 year ago)
- Last Synced: 2025-02-09T03:09:27.205Z (11 days ago)
- Topics: algorithms, data-science, gridsearchcv, linear-regression, logistic-regression, machine-learning, python, pytorch, random-forests, randomizedsearchcv, structure, types
- Language: Jupyter Notebook
- Homepage:
- Size: 5.04 MB
- Stars: 261
- Watchers: 32
- Forks: 354
- Open Issues: 12
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# The Python Workshop
[](https://github.com/PacktWorkshops/The-Python-Workshop/issues)
[](https://github.com/PacktWorkshops/The-Python-Workshop/network)
[](https://github.com/PacktWorkshops/The-Python-Workshop/stargazers)
[](https://github.com/PacktWorkshops/The-Python-Workshop/pulls)
[](https://www.python.org/downloads/)This is the repository for [The Python Workshop](https://www.amazon.com/Python-Workshop-Interactive-Approach-Learning/dp/1839218851/ref=sr_1_1?dchild=1&keywords=The%20Python%20Workshop&qid=1611065248&s=books&sr=1-1&utm_source=github&utm_medium=repository&utm_campaign=9781839218859&utm_term=Python&utm_content=The%20Python%20Workshop), published by [Packt](https://www.packtpub.com/?utm_source=github). It contains all the supporting project files necessary to work through the course from start to finish.
To get started with the project files, you'll need to:
1. Install Jupyter on [Windows](https://www.python.org/downloads/windows/), [Mac](https://www.python.org/downloads/mac-osx/), [Linux](https://www.python.org/downloads/source/)
2. Install Anaconda on [Windows](https://www.anaconda.com/distribution/#windows), [Mac](https://www.anaconda.com/distribution/#macos), [Linux](https://www.anaconda.com/distribution/#linux)
3. Install [Docker](https://docs.docker.com/docker-for-windows/install/)## About The Python Workshop
More than just a Python guide for beginners, [The Python Workshop](https://www.amazon.com/Python-Workshop-Interactive-Approach-Learning/dp/1839218851/ref=sr_1_1?dchild=1&keywords=The%20Python%20Workshop&qid=1611065248&s=books&sr=1-1&utm_source=github&utm_medium=repository&utm_campaign=9781839218859&utm_term=Python&utm_content=The%20Python%20Workshop) takes you through the full spectrum of basic to advanced topics, equipping you with the skills you need to get started with data science and more. Filled with practical step-by-step examples and interactive exercises, you'll learn by doing as you grow your new Python skillset.## What You Will Learn
* Write clean and well-commented code that is easy to maintain
* Automate essential day-to-day tasks with Python scripts
* Debug logical errors and handle exceptions in your programs
* Explore data science fundamentals and create engaging visualizations
* Get started with predictive machine learning
* Keep your development process bug-free with automated testing## Related Workshops
If you've found this repository useful, you might want to check out some of our other workshop titles:
* [The Statistics and Calculus with Python Workshop](https://www.amazon.com/Statistics-Calculus-Python-Workshop-comprehensive/dp/1800209762/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1611065425&sr=1-1-fkmr1&utm_source=github&utm_medium=repository&utm_campaign=9781801078719&utm_term=Statistics%20and%20Calculus%20with%20Python&utm_content=The%20Statistics%20and%20Calculus%20with%20Python%20Workshop)
* [The Applied Data Science Workshop](https://www.amazon.com/Applied-Data-Science-Workshop-applications/dp/1800202504/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1611064853&sr=1-1&utm_source=github&utm_medium=repository&utm_campaign=9781800202504&utm_term=Applied%20Data%20Science&utm_content=The%20Applied%20Data%20Science%20Workshop)
* [The Data Wrangling Workshop](https://www.amazon.com/Data-Wrangling-Workshop-actionable-insights/dp/1839215003/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1611065162&sr=1-1&utm_source=github&utm_medium=repository&utm_campaign=9781801078955&utm_term=Data%20Wrangling&utm_content=The%20Data%20Wrangling%20Workshop)