Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

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: 5 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 (about 5 years ago)
Default Branch: master
Last Pushed: 2023-11-08T00:16:34.000Z (about 1 year ago)
Last Synced: 2024-08-03T20:16:07.354Z (3 months 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: 250
Watchers: 32
Forks: 353
Open Issues: 12
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # The Python Workshop

[![GitHub issues](https://img.shields.io/github/issues/PacktWorkshops/The-Python-Workshop.svg)](https://github.com/PacktWorkshops/The-Python-Workshop/issues)

[![GitHub forks](https://img.shields.io/github/forks/PacktWorkshops/The-Python-Workshop.svg)](https://github.com/PacktWorkshops/The-Python-Workshop/network)

[![GitHub stars](https://img.shields.io/github/stars/PacktWorkshops/The-Python-Workshop.svg)](https://github.com/PacktWorkshops/The-Python-Workshop/stargazers)

[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/PacktWorkshops/The-Python-Workshop/pulls)

[![versions](https://img.shields.io/pypi/pyversions/pybadges.svg)](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.

## Requirements and Setup



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)