FREE delivery to all EXCLUSIVE BOOKS stores nationwide. FREE delivery to your door on all orders over R450. Excludes all international deliveries.

  • Safe delivery by Christmas SANTA SAFE
    BiteSize Python for Absolute Beginners

BiteSize Python for Absolute Beginners

Di Wu
    Product form
      FORMAT: Hardback

      R 9,340.26 Price and availability exclusive to website

      YOU COULD EARN 9,340.26 FUTURE RETAIL DISCOUNTS.
      ESTIMATED DELIVERY: Approx. 10 - 15 Business Days
      BUY NOW PAY LATER
      From R 1,556.71 per month!
      3x monthly payments of R 3,113.42 with
      4x fortnightly payments of R 2,335.06 with

      As an introduction to Python, this book allows readers to take a slow and steady approach to understanding Python code, explaining concepts, connecting programming with real-life examples, writing Python programs, and completing case studies.While there are many books, websites, and online courses about the topic, we break down Python programming into easily digestible lessons of less than 5 minutes each, following our BiteSize approach. Each lesson begins with a clear and short introduction to the topic. This gives you a strong base to start from and gets you ready for deeper learning. Then, you will see coding demonstrations that show the ideas discussed. These examples are simple and useful, helping you really understand the concepts. You’ll then practice tasks at different difficulty levels, so you can test your knowledge and increase your confidence. You’ll also play with case studies to solve real-world problems. Tips are included to show how you can incorporate generative AI into your learning toolkit, using it for feedback, practice exercises, code reviews, and exploring advanced topics. Recommended AI prompts can help you identify areas for improvement, review key concepts, and track your progress.This book is designed for absolute beginners with no prior programming experience. It is ideal for individuals with busy schedules or limited time for studying.

      Format: Hardback CONTRIBUTORS: Di Wu EAN: 9781032864884 COUNTRY: United Kingdom PAGES: 213 WEIGHT: 600 g HEIGHT: 254 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2025-07-30 CITY: GENRE: COMPUTERS / Computer Science, COMPUTERS / Languages / General, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Languages / Python, COMPUTERS / Mathematical & Statistical Software, MATHEMATICS / Probability & Statistics / General WIDTH: 178 mm SPINE:

      Book Themes:

      Probability and statistics, Mathematical and statistical software, Programming and scripting languages: general, Software Engineering, Computer science

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Dr. Di Wu is an Assistant Professor of Finance, Information Systems, and Economics department of Business School, Lehman College. He obtained a Ph.D. in Computer Science from the Graduate Center, CUNY. Dr. Wu’s research interests are 1) Temporal extensions to RDF and semantic web, 2) Applied Data Science, and 3) Experiential Learning and Pedagogy in business education. Dr.Wu developed and taught courses including Strategic Management, Databases, Business Statistics, Management Decision Making, Programming Languages (C++, Java, and Python), Data Structures and Algorithms, Data Mining, Big Data, and Machine Learning.

      As an introduction to Python, this book allows readers to take a slow and steady approach to understanding Python code, explaining concepts, connecting programming with real-life examples, writing Python programs, and completing case studies.While there are many books, websites, and online courses about the topic, we break down Python programming into easily digestible lessons of less than 5 minutes each, following our BiteSize approach. Each lesson begins with a clear and short introduction to the topic. This gives you a strong base to start from and gets you ready for deeper learning. Then, you will see coding demonstrations that show the ideas discussed. These examples are simple and useful, helping you really understand the concepts. You’ll then practice tasks at different difficulty levels, so you can test your knowledge and increase your confidence. You’ll also play with case studies to solve real-world problems. Tips are included to show how you can incorporate generative AI into your learning toolkit, using it for feedback, practice exercises, code reviews, and exploring advanced topics. Recommended AI prompts can help you identify areas for improvement, review key concepts, and track your progress.This book is designed for absolute beginners with no prior programming experience. It is ideal for individuals with busy schedules or limited time for studying.

      Format: Hardback CONTRIBUTORS: Di Wu EAN: 9781032864884 COUNTRY: United Kingdom PAGES: 213 WEIGHT: 600 g HEIGHT: 254 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2025-07-30 CITY: GENRE: COMPUTERS / Computer Science, COMPUTERS / Languages / General, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Languages / Python, COMPUTERS / Mathematical & Statistical Software, MATHEMATICS / Probability & Statistics / General WIDTH: 178 mm SPINE:

      Book Themes:

      Probability and statistics, Mathematical and statistical software, Programming and scripting languages: general, Software Engineering, Computer science

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Dr. Di Wu is an Assistant Professor of Finance, Information Systems, and Economics department of Business School, Lehman College. He obtained a Ph.D. in Computer Science from the Graduate Center, CUNY. Dr. Wu’s research interests are 1) Temporal extensions to RDF and semantic web, 2) Applied Data Science, and 3) Experiential Learning and Pedagogy in business education. Dr.Wu developed and taught courses including Strategic Management, Databases, Business Statistics, Management Decision Making, Programming Languages (C++, Java, and Python), Data Structures and Algorithms, Data Mining, Big Data, and Machine Learning.

      Recently viewed products

      Login

      Forgot your password?

      Don't have an account yet?
      Create account