Books

Even books that have "learn" in the title introduce readers to hopelessly complex topics like object-oriented programming or concurrency. It turns out YAGNI (You Ain't Gonna Need It). Why teach students topics they won't use either ever, or not for a few years?

"Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless we learn how to avoid the risks." - Stephen Hawking. Learn how to solve real-world problems with Deep Learning models (NLP, Computer Vision, and Time Series). Go from prototyping to deployment with PyTorch and Python!

These three-volume book series cover a wide variety of topics in machine learning focusing on supervised and unsupervised learning, intended for data scientist and machine learning experts providing a very concise description of the scikit-learn library. The first volume covers the generalized linear models (linear & logistic regression).

Learn how to write Python and beyond. You will not only learn the syntax of Python, but you will also create prototype applications and binaries that you can share with your family and friends.

Learn the ultimate interface...the command-line.

Laravel es el framework de PHP más popular en la actualidad, que permite crear aplicaciones web de forma rápida y profesional. En este libro aprenderás a crear aplicaciones web con Laravel desde cero y paso a paso.

Readers will learn discrete mathematical abstracts as well as its implementation in algorithm and data structures shown in various programming languages, such as C, C++, PHP, Java, C#, Python and Dart. This book combines two major components of Mathematics and Computer Science under one roof.

This book is designed to give you a comprehensive view of cloud computing including Big Data and Machine Learning. Many resources will be used including interactive labs on Cloud Platforms (Google, AWS, Azure) using Python. This is a project-based book with extensive hands-on assignments. Based on material taught at leading universities.

Python has grown in recent years, due to trends of data science and ML, and I think the main reason is because it’s essentially for a person to keep track of everything that is going on. And it makes “introducing” people to Python an interesting. Nowadays, audiences need to learn python in fast way for data science and that what we will give them.

Noah and Alfredo have decades of experience testing with Python in major production environments. Learn from the best on how to get started and advance your automation with easy examples and code to follow up.

With the rise of Data Science and Machine Learning, Data Engineering is quickly becoming a in-demand skill. Data Engineering requires a unique skillset that is hard to learn without experience. I will teach you how to write scalable data pipelines and more!

A pattern language for event sourced applications and reliable distributed systems. Examples are written in the Python programming language. Now includes event-oriented introductions to the pattern language scheme of Christopher Alexander, the process philosophy of Alfred North Whitehead, and the person-centred psychology of Rogers and Rosenberg.

Tired of Brain Fog? Check out this groundbreaking new "Brain Games Python" puzzle book that​Revives your brain cells,​Boosts your computational intelligence, andLaunches your programming skills in Python.Even If You Have Zero Programming Experience!

You know next to nothing about Kubernetes or Docker but need to create and run your first application on Kubernetes using Docker within a week. Don't worry: this book has you covered.