• Designed to iteratively develop the skills of Python users who don't have a data science background
• Covers the key foundational concepts...

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your...

• Build a strong foundation in neural networks and deep learning with Python libraries
• Explore advanced deep learning techniques and their applications...

This book presents recent research in the field of interaction between computational intelligence and mathematics. In the current technological age, we face the challenges of tackling very complex problems – in the usual sense, but also in the mathematical and theoretical computer science sense. However, even the most...

• Develop a strong background in neural network programming from scratch, using the popular Tensorflow library.
• Use Tensorflow to implement different kinds of neural networks – from simple...

• Learn how to solve problems of system administrators and automate routine activities
• Learn to handle regular expressions, network administration
• ...

• Use essential hacks and simple techniques to solve React application development challenges
• Create native mobile...

Discover the pillars of AWS infrastructure automation, starting with API-driven infrastructure concepts and its immediate benefits such as increased agility, automation of the infrastructure life cycle, and flexibility in experimenting with new architectures. With this base established, the book discusses infrastructure-as-code...

• Get to grips with the underlying technical principles and implementations of blockchain
• Build powerful...

Divided into three parts – Version Control, Project Management and Teamwork – this book...