ace the coding interview with Python and JavaScript

This revised edition of Everything You Need to Ace World History is the same indispensable resource so many students depend on, updated with new and improved content that thoughtfully explores World History. Sections that cover culture, social movements, war, colonialism, and imperialism have been revised with an eye for balanced viewpoints, and cultural competency, examining the contexts of power, oppression, resilience, or transformation. An updated final unit includes new material bringing the book into the 2020s with content focusing on updates in technology, climate change, space exploration, global security, the COVID-19 pandemic, and more. By providing a well-rounded context, decentering Indo-European perspectives, and using language that recognizes the humanity of historical subjects BFN World History will be a critical tool for students as education styles shift toward this informed approach to history. Big Fat Notebook is a first of it's kind series of subject specific study

This revised edition of Everything You Need to Ace U.S History in One Big Fat Notebook is the same indispensable resource so many students depend on, updated with new and improved content that thoughtfully explores the most difficult chapters of US history. By providing well-rounded context, decentering Indo-European perspectives, and using language that recognizes the humanity of historical subjects BFN US History will be cutting edge tool for students as education styles shift toward this informed approach to history. Updates include: - New material covering Indigenous history in the US, including sections on Indigenous culture, settler colonialism, the relationship between Indigenous nations and the US government, and the use of preferred names for Indigenous nations. -Reworked sections on European exploration, colonialism, and US imperialism that include the perspective of colonized nations. - Reworked sections on slavery that provide context for the role of European nations in the

Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python. What You Will LearnUse Python and numerical computation to demonstrate the power of simulationChoose a paradigm to run a simulationDraw statistical insights from numerical experimentsKnow how simulation is used to solve real-world problems Who This Book Is ForEntry-level to mid-level Python developers from various backg

In this hilarious non-fiction chapter book series, a savvy cockroach shares wise tips and tricks to surviving an encounter with a charming predator who may (or may not) want to be your friend.Celeste is a cockroach, and everyone knows that cockroaches are survivors, so who better to give advice on surviving an encounter with a polite predator? Everyone also knows that taking a moonlit promenade with a deadly reticulated python (named Frank) is a very bad idea. But Celeste loves very bad ideas, and she is willing to put your life on the line to prove herself right! Need to stop a python from swallowing you head-first? Wear a lamp shade as a hat! Want to speed up a three-hundred-pound snake? Try roller skates! What's the perfect light snack for a python? A chicken! Using her superior pythonine knowledge, Celeste comes up with various strategies and solutions -- many dangerous, most absurd, but all based on the biology of pythons. Meanwhile, Frank is hatching his own plans.Rachel Poliquin

In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models. The bestseller revised Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library, written by the creator of Keras himself. This revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models, building your understanding through practical examples and intuitive explanations that make the complexities of deep learning easily accessible. Purchase of the print book

Become proficient in deriving insights from time-series data and analyzing a model's performanceKey Features: Explore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time-series via real-world case studies on operations management, digital marketing, finance, and healthcareBook Description: Machine learning has emerged as a powerful tool to understand hidden complexities in time-series datasets, which frequently need to be analyzed in areas as diverse as healthcare, economics, digital marketing, and social sciences. These datasets are essential for forecasting and predicting outcomes or for detecting anomalies to support informed decision making.This book covers Python basics for time-series and builds your understanding of traditional autoregressive models as well as modern non-parametric models. You will become confident with

Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Summary Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you'll build your own quantum simulator and apply quantum programming techniques to real-world examples including cryptography and chemical analysis. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Quantum computers present a radical leap in speed and computing power. Improved scientific simulations and new frontiers in cryptography that are impossible with classical computing may soon be in reach. Microsoft's Quantum Development Kit and the Q# language give you the tools to experiment with quantum computing without knowing advanced math or theoretical physics. About the book Learn Quantum Computing with Python and Q# introduces quantum computing from a practical pers

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook's Artificial Intelligence Research Group.You'll start with a perspective on how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems. Next, the book will ground you with the mathematical fundamentals of linear algebra, vector calculus, probability and optimization. Having established this foundation, you'll move on to key components and functionality of PyTorch including layers, loss functions and optimization algorithms. You'll also gain an understanding of Graphical Processing Unit (GPU) based computation, which is essential for training deep learning models

Fully-updated, second edition of this worldwide bestseller with over 100,000 copies sold. When it comes to creating powerful and effective hacking tools, Python is the language of choice for most secu