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Classic Computer Science Problems in Python
- Narrated by: Lisa Farina
- Length: 5 hrs and 6 mins
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Publisher's summary
Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!
Computer science problems that seem new or unique are often rooted in classic algorithms, coding techniques, and engineering principles. And classic approaches are still the best way to solve them! Understanding these techniques in Python expands your potential for success in web development, data munging, machine learning, and more.
What's inside
- Search algorithms
- Common techniques for graphs
- Neural networks
- Genetic algorithms
- Adversarial search
- Uses type hints throughout
- Covers Python 3.7
For intermediate Python programmers.
About the author
David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014) and Classic Computer Science Problems in Swift (Manning, 2018).
Table of contents
- Small problems
- Search problems
- Constraint-satisfaction problems
- Graph problems
- Genetic algorithms
- K-means clustering
- Fairly simple neural networks
- Adversarial search
- Miscellaneous problems
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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Remember Why You Got Into Computing
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The Complete Software Developer's Career Guide
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Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.
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In this fascinating book, investigative reporter Yasha Levine uncovers the secret origins of the Internet, tracing it back to a Pentagon counterinsurgency surveillance project. With deep research, skilled storytelling, and provocative arguments, Surveillance Valley will change the way you think about the news - and the device on which you read it.
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Profound look at the internet and surveillance
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This Is Not a Game is the extraordinary untold story of the internet’s first conspiracy theory, the legend of Ong’s Hat. Marc Fennell will dive deep into a previously unexplored world of tech hippies, eccentric web subcultures and simmering paranoia, uncovering how this tongue-in-cheek artistic experiment backfired on its creator and went on to influence much of what’s wrong with the internet today.
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A New York Times technology correspondent presents the dramatic rise and fall of Uber, set against the rapid upheaval in Silicon Valley during the mobile era. Based on hundreds of interviews with current and former Uber employees, along with previously unpublished documents, Super Pumped is a pause-resisting story of ambition and deception, obscene wealth, and bad behavior, that explores how blistering technological and financial innovation culminated in one of the most catastrophic 12-month periods in American corporate history.
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A forced narrative and a bad version of Bad Blood
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Nikola Tesla was a major contributor to the electrical revolution that transformed daily life at the turn of the 20th century. His inventions, patents, and theoretical work formed the basis of modern AC electricity, and contributed to the development of radio and television. Like his competitor Thomas Edison, Tesla was one of America's first celebrity scientists, enjoying the company of New York high society and dazzling the likes of Mark Twain with his electrical demonstrations. An astute self-promoter and gifted showman, he cultivated a public image of the eccentric genius.
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A detailed examination of Tesla's work
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In Glow Kids, Dr. Nicholas Kardaras will examine how technology - more specifically, age-inappropriate screen tech, with all of its glowing ubiquity - has profoundly affected the brains of an entire generation. Brain imaging research is showing that stimulating glowing screens are as dopaminergic (dopamine activating) to the brain’s pleasure center as sex. And a growing mountain of clinical research correlates screen tech with disorders like ADHD, addiction, anxiety, depression, increased aggression, and even psychosis.
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Fear Mongering - a modern day Mazes and Monsters
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Our Final Invention
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Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the "smart" in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence. In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring billions into achieving AI’s Holy Grail - human-level intelligence.
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Kind of chilling
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Click Here to Kill Everybody
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Everything is a computer. Ovens are computers that make things hot; refrigerators are computers that keep things cold. These computers - from home thermostats to chemical plants - are all online. All computers can be hacked. And Internet-connected computers are the most vulnerable. Forget data theft: Cutting-edge digital attackers can now crash your car, your pacemaker, and the nation’s power grid. In Click Here to Kill Everybody, renowned expert and best-selling author Bruce Schneier examines the hidden risks of this new reality.
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Same old Bruce
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Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.
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Not sure what I was expecting, but underwhelmed
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By: Ajay Agrawal, and others
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What listeners say about Classic Computer Science Problems in Python
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- Dareen
- 11-16-20
very difficult to follow through any figures
I bought this audio book to accelerate my computer science problem solving skills but I found it very difficult to follow through any figures or code snippets... the narration creators need to find a creative way to include these special types of content in the narration, in a comprehensive and understandable way.
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