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portada Python Advanced Programming: The Guide to Learn Pyhton Programming. Reference With Exercises and Samples About Dynamical Programming, Multithreading,. Testing and More: 2 (Python Programming)
Type
Physical Book
Year
2020
Language
English
Pages
204
Format
Paperback
Dimensions
22.9 x 15.2 x 1.1 cm
Weight
0.28 kg.
ISBN13
9781657482852

Python Advanced Programming: The Guide to Learn Pyhton Programming. Reference With Exercises and Samples About Dynamical Programming, Multithreading,. Testing and More: 2 (Python Programming)

Marcus Richards (Author) · Independently Published · Paperback

Python Advanced Programming: The Guide to Learn Pyhton Programming. Reference With Exercises and Samples About Dynamical Programming, Multithreading,. Testing and More: 2 (Python Programming) - Richards, Marcus

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  • Condition: New
Origin: U.S.A. (Import costs included in the price)
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Synopsis "Python Advanced Programming: The Guide to Learn Pyhton Programming. Reference With Exercises and Samples About Dynamical Programming, Multithreading,. Testing and More: 2 (Python Programming)"

If you want to learn the most modern programming language in the world, then keep reading.Pyhton is an high-level programming language. It's a modern language, easy to learn and understand but very powerful.It's a versatile programming language that is now being used on a lot of different projects, from World-class Internet companies to small hobbyists, Python is extremely flexible and can be useful in a lot of different fields.With Python, you can develop apps, games and any kind of software.In fact, Python is one of the highest-demand skill for professional developers.Python Advanced Programming approaches this programming language in a very practical method to make sure you can learn everything you need to start working with Python as soon as possible and to handle advanced feature of this unique language.You will learn...▸ Advanced procedural programming techniques▸ What is Dynamic Code Execution▸ Advanced OOP functions most developers are not aware of▸ Functional-style programming with Python▸ How to debug, test and profile your software▸ How to handle multiple processes▸ The best techniques to spread the workload on different threads

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