Learn how to speed up slow Python code with concurrent programming and the cutting-edge asyncio library.Use coroutines and tasks alongside async/await syntax to run code concurrentlyBuild web APIs and make concurrency web requests with aiohttpRun thousands of SQL queries concurrentlyCreate a map-reduce job that can process gigabytes of data concurrentlyUse threading with asyncio to mix blocking code with asyncio codePython is fle...

From the “former sex worker taking Hollywood by storm” (The Daily Beast), comes a candid and hilarious memoir of sex work, shame, and self-discovery set in the colorful world of live-streaming camgirls. At twenty-three, Isa Mazzei was just like any other college graduate: broke, lacking purpose, and searching for an identity. She was also a compulsive seductress with a reputation as a slut and heartbreaker. One day, while working a low-paying retail job, she had a revelation: why not embra...

How far would you travel for love?Intelligent but isolated recent physics graduate Annie Fisk feels an undeniable pull toward space. Her childhood memories dimmed by loss, she has left behind her home, her family, and her first love in pursuit of intellectual fulfillment. When she finally lands a job as a NASA secretary during the Apollo 11 mission, the work is everything she dreamed, and while she feels a budding attraction to one of the engineers, she ca...

Java for Python Programmers: Book 1 is a structured introduction to Java for learners who already know some Python and want to build a solid foundation without starting from zero. Designed as a hybrid textbook-workbook, it combines clear explanations, side-by-side comparisons, Python Bridge notes, guided exercises, self-checks, reviews, and end-of-level projects.Across five carefully sequenced levels, readers move from first contact with Java to core programming fundamentals, inclu...

This book provides a structured introduction to algorithms and data structures through practical examples in Python, with a focus on LeetCode-style problems commonly used for technical preparation and the development of algorithmic thinking. The exposition is designed to help readers master not only a set of solutions, but also the logic of choosing an approach: from formulating the problem and identifying key constraints to selecting an appropriate data structure, designing an algorithm, ...

When Excel isn’t enough, it’s time to learn Python.If you’re comfortable in Excel, but you’ve hit a wall—slow files, broken formulas, hours spent on repetitive tasks—this book offers a way forward. It shows you how to take the work you already do in spreadsheets and make it faster, smarter, and more powerful with Python.You’ll start by setting up your environment and getting comfortable with Python through short, Excel-inspired exercises. From there, you’ll...

Deep learning made simple.Dip into deep learning without drowning in theory with this fully updated edition of Practical Deep Learning from experienced author and AI expert Ronald T. Kneusel.After a brief review of basic math and coding principles, you’ll dive into hands-on experiments and learn to build working models for everything from image analysis to creative writing, and gain a thorough understanding of how each technique works under the hoo...

Vegan chef Isa Chandra Moskowitz shares her collection of plant-based and low-calorie meals that are full of flavor and totally satisfying.This is not your mother's low-fat cookbook. It has no foolish tricks, no bizarre concoctions, no chemicals, no frozen meals...no fake anything! Appetite for Reduction means cooking with real food, for real life. (Skimpy portions need not apply.)In Appetite for Reduction, bestselling author and vegan che...

Understand how implementing different data structures and algorithms intelligently can make your Python code and applications more maintainable and efficientKey FeaturesExplore functional and reactive implementations of traditional and advanced data structuresApply a diverse range of algorithms in your Python codeImplement the skills you have learned to maximize the performance of your applicationsBook Description...

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automa...

SummaryDeep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples.About the TechnologyMachine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, ...

The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming.This upper-division text provides an unusually broad survey of the topics of modern computational physics from a multidisciplinary, computational science point of view. Its philosophy is rooted in lea...