ace the coding interview with Python and JavaScript

Rikki Thunder, twenty-two-year-old drummer for the scorching new ’80s metal band Whyte Python, is about to have it all: absurd wealth, global fame, and a dream girlfriend. But an unwitting role as an international spy? That was definitely not part of the plan."A rock-n-roll thrill ride... Heavy Metal icon Rikki Thunder's satirical memoir is sweeter than Cherry Pie and better than a prescription from Dr. Feelgood! You need to read it."—Ernest ClineIt’s Los Angeles, 1986, and metal rules the world. For aspiring drummer Rikki Thunder, life is beautiful, just like his hair—even if he is sleeping in a condemned paint store and playing with a band that’s going nowhere. But when Rikki gets a shot to join L.A.’s hottest up-and-coming club band, Whyte Python, his young life takes a mind-blowing turn. Soon he and his new band mates have a hit single rocketing up the charts, Whyte Python is selling out major clubs, and Rikki has a gorgeous girlfriend in the audience and in his life. He literally

Unlock the full potential of your qualitative research projects with this invaluable manual from world-renowned authority Johnny Saldaña. This essential guide delves into the latest advancements in coding, including the integration of AI tools like ChatGPT-4, empowering researchers to enhance their data analysis processes and outcomes. This clearly updated edition offers:· Comprehensive Coverage: Explore over 35 coding methods, complete with datasets, software screenshots, and multidisciplinary academic references.· Global Appeal: Designed for an international readership, with inclusive data and real-world examples. · Practical Guidance: Clear, academically grounded advice that bridges the gap between data generation and analysis, ensuring credibility and trustworthiness. · Modern Relevance: Facilitates both manual and online coding, with detailed insights into CAQDAS and digital data handling.Ideal for students, researchers, and professionals in education, the social sciences, and bey

This friendly, colorful guide will help middle schoolers ace English class with confidence and ease.With chapters on all the essential ELA topics—grammar, sentence structure, figurative language, textual analysis, writing essays, building arguments, and more—it covers every skill a middle schooler needs to read, write, and analyze their way through middle school English. Big Fat Notebooks break down the big topics into bite sized pieces with clear and accessible language, key vocabulary defined, annotated examples and excerpts from a diverse array of literature, and instructional diagrams and doodles.This second edition includes an all-new media literacy chapter covering everything from disinformation and bias to deep fakes and clickbait—giving middle schoolers essential guidance on how to navigate this oversaturated world of manipulative media.

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