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Learning Python

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Learn to code like a professional with Python – an open source, versatile, and powerful programming language About This Book Learn the fundamentals of programming with Python – one of the best languages ever created Develop a strong set of programming skills that you will be able to express in any situation, on every platform, thanks to Python’s portability Create outstanding applications of all kind, from websites to scripting, and from GUIs to data science Who This Book Is For Python is the most popular introductory teaching language in U.S. top computer science universities, so if you are new to software development, or maybe you have little experience, and would like to start off on the right foot, then this language and this book are what you need. Its amazing design and portability will help you become productive regardless of the environment you choose to work with. What You Will Learn Get Python up and running on Windows, Mac, and Linux in no time Grasp the fundamental concepts of coding, along with the basics of data structures and control flow. Write elegant, reusable, and efficient code in any situation Understand when to use the functional or the object oriented programming approach Create bulletproof, reliable software by writing tests to support your code Explore examples of GUIs, scripting, data science and web applications Learn to be independent, capable of fetching any resource you need, as well as dig deeper In Detail Learning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon ...

العنوان Learning Python : learn to code like a professional with Python--an open source, versatile, and powerful programming language / Fabrizio Romano.
الطبعة 1st edition.
الناشر Birmingham, England
Mumbai, [India] : Packt Publishing
تاريخ الإصدار 2015
ملاحظات Includes index.
رقم الرف Cover
Copyright
Credits
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
Table of Contents
Preface
Chapter 1: Introduction and First Steps - Take a Deep Breath
A proper introduction
Enter the Python
About Python
Portability
Coherence
Developer productivity
An extensive library
Software quality
Software integration
Satisfaction and enjoyment
What are the drawbacks?
Who is using Python today?
Setting up the environment
Python 2 versus Python 3 - the great debate
Installing Python
Setting up the Python interpreter
About virtualenv
Your first virtual environmentYour friend, the console
How you can run a Python program
Running Python scripts
Running the Python interactive shell
Running Python as a service
Running Python as a GUI application
How is Python code organized
How do we use modules and packages
Python's execution model
Names and namespaces
Scopes
Object and classes
Guidelines on how to write good code
The Python culture
A note on the IDEs
Summary
Chapter 2: Built-in Data Types
Everything is an object
Mutable or immutable? That is the question
Numbers
Integers
Booleans
Reals
Complex numbers
Fractions and decimalsImmutable sequences
Strings and bytes
Encoding and decoding strings
Indexing and slicing strings
Tuples
Mutable sequences
Lists
Byte arrays
Set types
Mapping types - dictionaries
The collections module
Named tuples
Defaultdict
ChainMap
Final considerations
Small values caching
How to choose data structures
About indexing and slicing
About the names
Chapter 3: Iterating and Making Decisions
Conditional programming
A specialized else: elif
The ternary operator
Looping
The for loop
Iterating over a range
Iterating over a sequence
Iterators and iterablesIterating over multiple sequences
The while loop
The break and continue statements
A special else clause
Putting this all together
Example 1 - a prime generator
Example 2 - applying discounts
A quick peek at the itertools module
Infinite iterators
Iterators terminating on the shortest input sequence
Combinatoric generators
Chapter 4: Functions, the Building Blocks of Code
Why use functions?
Reduce code duplication
Splitting a complex task
Hide implementation details
Improve readability
Improve traceability
Scopes and name resolution
The global and nonlocal statementsInput parameters
Argument passing
Assignment to argument names don't affect the caller
Changing a mutable affects the caller
How to specify input parameters
Positional arguments
Keyword arguments and default values
Variable positional arguments
Variable keyword arguments
Keyword-only arguments
Combining input parameters
Avoid the trap! Mutable defaults
Return values
Returning multiple values
A few useful tips
Recursive functions
Anonymous functions
Function attributes
Built-in functions
One final example
Documenting your code
Importing objects
سلسلة Community experience distilled
الشكل 1 online resource (443 p.)
اللغة الانكليزية
تأريخ حقوق الملكية الفكرية ©2015
رقم النظام 997010719778405171
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