Python

Know Python basics but don't know what to do next? Take the next step in your programming journey with real world inspired Python projects.

Python is a rich and powerful language, but many data scientists merely scratch the surface, and often feel uncertain about what lies beneath.  This book will go deep into the heart of Python, to truly understand its components, and how we can stitch them together to build better scientific workflows and machine learning systems.

Ever wondered what a neural network really is, how it works, or how to implement one? Well, I did, and that is why I tried implementing one. And it was amazing! Now, I just want to help you do it yourself, so that you can take a peek behind the curtains of this world of machine learning, deep learning, and all those buzzwords.

Python 3 exercises for beginners. (English)Exercisis per a principiants. (Català)Ejercicios para principiantes. (Castellano)

Completely hands-on so that you can start the real work!

A short tutorial on how to create front-end web applications in Python using the React JavaScript library, without having to program in JavaScript!

Use Python to build web apps, analyze data, create desktop software, automate tasks, and more.

You will learn that NumPy has very efficient arrays that are easy to use due to the powerful indexing mechanism. This book describes some of the more advanced and tricky indexing techniques.Also we will try to make an attempt to document the most essential methods that every user should know. NumPy has many methods to even mention in this book!

Turn data into clear visuals with Matplotlib, the most powerful plotting library in Python.

Create responsive front-end web applications in Python using the React and Material-UI JavaScript libraries, without having to program in JavaScript, by using the Transcrypt transpiler that turns your Python code into JavaScript.

Crea tu propio lenguaje de programación desde cero usando Python.

Learn how you can use Python programming and data science tools to handle Excel spreadsheets, automate your workflow, and supercharge your skill set. Visit www.pythonforaccounting.com to read the table of contents and learn more about the projects you'll complete as you go through the book.

Cheat sheets can be a really helpful resource when you're learning a new language. They remind you of the syntax and concepts you've just learned, so you can focus on writing your own code instead of rereading sections of a book or rewatching parts of a video.

Learn how to lie with data so that you don't lie with data. Use Matplotlib, Seaborn, and Plotly to create data visualizations with real-world datasets. Read more at https://www.alexkenan.com/pyviz/.