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Classic Computer Science Problems in Python
- Narrado por: Lisa Farina
- Duración: 5 h y 6 m
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Classic Computer Science Problems in Python
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Resumen del Editor
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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General4 out of 5 stars 11
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Narración:4 out of 5 stars 9
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Historia4 out of 5 stars 9
As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.
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5 out of 5 stars
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Wonderful audio textbook!
- De Howard_a en 11-02-21
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Python Workout
- 50 Ten-Minute Exercises
- De: Reuven M. Lerner
- Narrado por: Mark Thomas
- Duración: 7 h y 35 m
- Versión completa
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General0 out of 5 stars 0
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Narración:0 out of 5 stars 0
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Historia0 out of 5 stars 0
The only way to master a skill is to practice. In Python Workout, author Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you'll build programming skill and confidence. The thorough explanations help you lock in what you've learned and apply it to your own projects.
De: Reuven M. Lerner
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The Business Case for AI
- A Leader's Guide to AI Strategies, Best Practices & Real-World Applications
- De: Kavita Ganesan
- Narrado por: Stephanie Richardson
- Duración: 9 h y 11 m
- Versión completa
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General3.5 out of 5 stars 13
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Narración:4 out of 5 stars 12
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Historia3.5 out of 5 stars 12
AI is much more than a sexy marketing gimmick. At its core, it’s a powerful business tool that can make operations and decision-making more efficient, employees more productive, and customers delighted. Unfortunately, leaders who want to take advantage of artificial intelligence often don’t know where to start. The process can feel overwhelming—from analyzing existing processes and software systems and choosing where to apply AI automation, to preparing every tier of the organization for the transition.
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1 out of 5 stars
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Can I please just learn about AI without a political lecture?
- De Anonymous User en 07-05-24
De: Kavita Ganesan
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Data Science Bookcamp
- Five Real-World Python Projects
- De: Leonard Apeltsin
- Narrado por: Julie Brierley
- Duración: 18 h y 1 m
- Versión completa
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General0 out of 5 stars 0
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Narración:0 out of 5 stars 0
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Historia0 out of 5 stars 0
Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp, you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career.
De: Leonard Apeltsin
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Naked Statistics
- Stripping the Dread from the Data
- De: Charles Wheelan
- Narrado por: Jonathan Davis
- Duración: 10 h y 48 m
- Versión completa
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General4.5 out of 5 stars 3,452
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Narración:4.5 out of 5 stars 2,920
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Historia4.5 out of 5 stars 2,905
From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
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3 out of 5 stars
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Starts well then becomes non-Audible
- De Michael en 09-07-13
De: Charles Wheelan
Lo que los oyentes dicen sobre Classic Computer Science Problems in Python
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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Total2 out of 5 stars
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Ejecución1 out of 5 stars
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Historia3 out of 5 stars
- 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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