Start programming from scratch, no experience required. This beginners’ guide to software engineering starts with a discussion of the different editors used to create software and covers setting up a Docker environment. Next, you will learn about repositories and version control along with its uses. Now that you are ready to...

Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both...

• Enhance your programming skills by implementing efficient design patterns for C# and .NET
• Explore design patterns for functional and reactive...

Gain a better understanding of pointers, from the basics of how pointers function at the machine level, to using them for a variety of common and advanced scenarios. This short contemporary guide book on pointers in C programming provides a resource for professionals and advanced students needing in-depth hands-on coverage of pointer...

• Gain real-world contextualization using deep learning problems concerning research and application
• Get to know the best practices to improve and optimize your machine...

• Solve a variety of real-world programming and logic problems by leveraging the power of C++17
• Test your skills in using language features, algorithms, data...

On April 10, 2019, award-winning astrophysicist Heino Falcke presented the first image ever captured of a black hole at an international press conference—a turning point in astronomy that Science magazine called the scientific breakthrough of the year. That photo was...

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas,...

• Set up and model solutions, investigate malware, and prevent it from recurring
• Learn core concepts relating to dynamic malware analysis, memory forensics, decryption, and much more
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