All Projects → PacktWorkshops → The Python Workshop

PacktWorkshops / The Python Workshop

Licence: mit
A New, Interactive Approach to Learning Python

Programming Languages

python
139335 projects - #7 most used programming language
types
53 projects

Projects that are alternatives of or similar to The Python Workshop

Ds and ml projects
Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (-62.67%)
Mutual labels:  jupyter-notebook, data-science, logistic-regression, linear-regression
Dat8
General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+910.67%)
Mutual labels:  jupyter-notebook, data-science, logistic-regression, linear-regression
25daysinmachinelearning
I will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-64.67%)
Mutual labels:  jupyter-notebook, data-science, logistic-regression, linear-regression
Jupyter
Stars: ✭ 145 (-3.33%)
Mutual labels:  algorithms, jupyter-notebook, data-science
Deep Learning Machine Learning Stock
Stock for Deep Learning and Machine Learning
Stars: ✭ 240 (+60%)
Mutual labels:  algorithms, jupyter-notebook, data-science
Machine Learning With Python
Python code for common Machine Learning Algorithms
Stars: ✭ 3,334 (+2122.67%)
Mutual labels:  jupyter-notebook, logistic-regression, linear-regression
Aulas
Aulas da Escola de Inteligência Artificial de São Paulo
Stars: ✭ 166 (+10.67%)
Mutual labels:  jupyter-notebook, data-science, linear-regression
Brihaspati
Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
Stars: ✭ 53 (-64.67%)
Mutual labels:  jupyter-notebook, logistic-regression, linear-regression
Tensorflow Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Stars: ✭ 4,448 (+2865.33%)
Mutual labels:  jupyter-notebook, logistic-regression, linear-regression
Python Machine Learning Book
The "Python Machine Learning (1st edition)" book code repository and info resource
Stars: ✭ 11,428 (+7518.67%)
Mutual labels:  jupyter-notebook, data-science, logistic-regression
Deeplearning
Deep Learning From Scratch
Stars: ✭ 66 (-56%)
Mutual labels:  jupyter-notebook, logistic-regression, linear-regression
Ensae teaching cs
Teaching materials in python at the @ENSAE
Stars: ✭ 69 (-54%)
Mutual labels:  algorithms, jupyter-notebook, data-science
Deeplearning.ai
该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。
Stars: ✭ 181 (+20.67%)
Mutual labels:  jupyter-notebook, logistic-regression, linear-regression
Deep Math Machine Learning.ai
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Stars: ✭ 173 (+15.33%)
Mutual labels:  jupyter-notebook, logistic-regression, linear-regression
Machine learning basics
Plain python implementations of basic machine learning algorithms
Stars: ✭ 3,557 (+2271.33%)
Mutual labels:  jupyter-notebook, logistic-regression, linear-regression
100 Days Of Ml Code
A day to day plan for this challenge. Covers both theoritical and practical aspects
Stars: ✭ 172 (+14.67%)
Mutual labels:  jupyter-notebook, data-science, linear-regression
Numerical Linear Algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Stars: ✭ 8,263 (+5408.67%)
Mutual labels:  algorithms, jupyter-notebook, data-science
Machine learning
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Stars: ✭ 161 (+7.33%)
Mutual labels:  jupyter-notebook, logistic-regression, linear-regression
Yabox
Yet another black-box optimization library for Python
Stars: ✭ 103 (-31.33%)
Mutual labels:  algorithms, jupyter-notebook, data-science
Isl Python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Stars: ✭ 108 (-28%)
Mutual labels:  jupyter-notebook, logistic-regression, linear-regression

The Python Workshop

GitHub issues GitHub forks GitHub stars PRs Welcome versions

This is the repository for The Python Workshop, published by Packt. It contains all the supporting project files necessary to work through the course from start to finish.

Requirements and Setup

The Python Workshop

To get started with the project files, you'll need to:

  1. Install Jupyter on Windows, Mac, Linux
  2. Install Anaconda on Windows, Mac, Linux
  3. Install Docker

About The Python Workshop

More than just a Python guide for beginners, The Python Workshop 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:

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].