Do you love sitting in front of a computer writing code all day long? Are you ready to increase your programming skills and learn python for data analysis and machine learning?
If you are a Python lover and looking to learn EVERYTHING you need to learn about the Python approach to algorithm designand analysis, this complete guide is exactly what you need.
This book gives specific details and explanations of the Python approach to algorithm design and analysis.
Written by expert developers, this guide sharply focuses on classical algorithms and provides a solid understanding of basic algorithmic problem-solving methods.
With this guide in your hands, you will
Computer science and programming practice learning goals, review questions, programming exercises in every chapterAlgorithmic hypothesis and advanced and introductory data structures and algorithm topicsThe concept of computational complexity that shows what can and can't be computed so programmers can make sound judgments regarding the algorithms they useProgramming methods that show the ideas and methods needed in developing softwarePython software and Python language ideas and methods needed in developing softwareAnd much more like machine learning, performance metrics, and technical indicatorsThe most effective way you have to start learning python for data analysis and machine learning is to read this complete and ultimate guide.
Change the way you see python algorithms by using these precious bits of advice curated by expert programmers.
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My son is interested in learning to code, his teacher recommended Python. This author shares some benefits to Python and explains that it is popular for several reasons. Python is vast and used in many different areas. Also, Python is easy to learn and as the author notes is usable almost immediately. I liked that the book has practice activities. Also, walking the reader through them step by step. Overall, we found this book informational and helpful.
I read these books with my daughter. She loves coding and this book was abke to advance her knowledge. I love that it explained the different algorithms that are used in coding.
This book has more useful content and is written better than some out there. But unfortunately, the formatting didn't translate, thus making it hard to follow the code in quite a few spots. In the end, it wasn't as helpful as I'd wanted.
The book is not focused on Python so much as algorithms. Probably not the best starting point for beginning Python users. Good for more advanced users.
This book has some good information about How to Lay the Groundwork and how Deliverables to Be Created in Modeling, Deployment, Customer Acceptance and data.