Contributions

Book
A book that teaches probabilistic approach to deep learning, using Python-based Tensorflow Probability Framework.
Book
A book that introduces QC fundamentals by teaching you to create your own quantum simulator in Python.
Book
A book that teaches you to apply state-of-the-art deep learning approaches to natural language processing tasks.
Book
A book that introduces the most valuable ML techniques, with practical examples in Python.
Book
A book that teaches you to build deep learning neural networks using only Python and its math-supporting library.
Book
A practical guide on applying machine learning using only Python code.
Book
This book is a guide to building machines that can read and interpret human language. In it, you’ll use readily available Python packages to capture the meaning in text and react accordingly.
Book
A book that teaches you to design and write software that’s easy to understand, maintain and scale, using practical Python-based examples.
Article
This book teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data.
Book
A book of 50 exercises designed to deepen the readers' Python skills. Exercises include using built-in data structures, but also some more advanced techniques, such as functional programming, object-oriented programming, iterators, and generators.
Tutorial
A beginner-friendly liveVideo introduction to the world of writing computer programs, with the help of the easy-to-learn Python language.
Book
A great introduction to the Python programming language and its easy-to-read syntax.
Book
A book that teaches you the basics of computer programming using the Python language.
Book
A book that gives a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python.
Book
A book that introduces programming on a Raspberry Pi. Suited for kids and other beginners, it fist shows how to navigate Pi and some basic concepts of Python programming.
Book
A book on how to build distributed data projects that can handle huge amounts of data.
Book
A book that introduces the field of deep learning using the Python language and the Keras library. Written by Keras creator and Google AI researcher François Chollet.
Book
This book is an introduction to the concepts of machine learning through many relevant examples in Python.
Tutorial
Tutorial on how to build neural-network models for real-world data problems using Python and Keras. Designed for intermediate-level data scientists, developers, and machine learning engineers.
Book
An illustrated guide on how to apply common algorithms to practical problems.
Includes helpful diagrams and fully annotated code samples in Python.
Book
Book that deals with problems of data science using the Python language and common Python libraries. Provides a solid foundation in data science.
Book
Geoprocessing with Python teaches you how to use the Python programming language, along with free and open source tools, to read, write, and process geospatial data.
Book
This books provides a foundation in data science processes with practical Python tips and techniques.
Book
A book that covers basics of programming and syntax of Python.