You know how to write Python. Now master the computer science that makes it work.If you’ve been programming for a while, you may have found yourself wondering about the deeper principles behind the code. How are programming languages implemented? What does an interpreter really do? How does the microprocessor execute instructions at a fundamental level? How does a machine learning algorithm make decisions?Computer Science from Scratch is for experi...

"Whether you're a novice or a seasoned professional, there's an Aha! moment in this book for everyone." - James Watson, Adaptive**”Highly recommended to everyone interested in deepening their understanding of Python and practical computer science.” —**Daniel Kenney-Jung, MD, University of MinnesotaKey FeaturesMaster formal techniques taught in college computer science classesConnect computer science...

Dart for Absolute Beginners enables individuals with no background in programming to create their own web apps while learning the fundamentals of software development in a cutting edge language. Easily digested chapters, while comprehensive enough to explore the whole domain, are aimed at both hobbyists and professionals alike. The reader will not only gain an insight into Dart, but also the technologies behind the web. A firm foundation is laid for further programming studies.

Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms.SummarySharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals...

SummaryClassic Computer Science Problems in Swift invites readers to invest their energy in some foundational techniques that have been proven to stand the test of time. Along the way they'll learn intermediate and advanced features of the Swift programming language, a worthwhile skill in its own right.About the TechnologyDon't just learn another language. Become a better programmer instead. Today's awesome iOS apps stand o...

How do the experts solve difficult problems in software development? In this unique and insightful book, leading computer scientists offer case studies that reveal how they found unusual, carefully designed solutions to high-profile projects. You will be able to look over the shoulder of major coding and design experts to see problems through their eyes.This is not simply another design patterns book, or another software engineering treatise on the right and wrong way to do things....

A complete primer for the technical programming interview. This book reviews the fundamentals of computer programming through programming problems posed to candidates at Amazon, Apple, Facebook, Google, Microsoft, and others. Complete solutions to every programming problem is provided in clear explanations and easy to read C++11 code.If you are learning to code then this book provides a great introduction to C++11 and fundamental data structures and algorithms. If you are preparing...

VHDL 101 is written for Electrical Engineers and others wishing to break into FPGA design and assumes a basic knowledge of digital design and some experience with engineering 'process'. Bill Kafig, industry expert, swiftly brings the reader up to speed on techniques and functions commonly used in VHDL (VHSIC Hardware Description Language) as well as commands and data types. Extensive simple, complete designs accompany the content for maximum comprehension. The book concludes with a section...

Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0Key Features\[\*\] Learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark 2.0\[\*\] Develop and deploy efficient, scalable real-time Spark solutions\[\*\] Take your understanding of using Spark with Python to the next level with this jump start guideBook Descript...

Publisher s Note: A new second edition, updated completely for pandas 1.x with additional chapters, has now been published. This edition from 2017 is outdated and is based on pandas 0.20. Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysisKey FeaturesUse the power of pandas 0.20 to solve most complex scientific computing problems with easeLeverage fast, robust data structures in pandas 0.20 to ...

Master advanced techniques and algorithms for deep learning with PyTorch using real-world examplesKey FeaturesUnderstand how to use PyTorch 1.x to build advanced neural network modelsLearn to perform a wide range of tasks by implementing deep learning algorithms and techniquesGain expertise in domains such as computer vision, NLP, Deep RL, Explainable AI, and much moreBook DescriptionDeep learning is driving the AI revolution...

Become an efficient data science practitioner by understanding Python\\'s key conceptsKey Features\[\*\] Quickly get familiar with data science using Python 3.5\[\*\] Save time (and effort) with all the essential tools explained\[\*\] Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experienceBook DescriptionFully expanded and upgraded, the second edition of Pyth...