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  • Book Overview & Buying Python Unlocked
  • Table Of Contents Toc
Python Unlocked

Python Unlocked

By : Tigeraniya
3 (2)
Buy this Book
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Python Unlocked

Python Unlocked

3 (2)
By: Tigeraniya
Buy this Book

Overview of this book

Python is a versatile programming language that can be used for a wide range of technical tasks—computation, statistics, data analysis, game development, and more. Though Python is easy to learn, it’s range of features means there are many aspects of it that even experienced Python developers don’t know about. Even if you’re confident with the basics, its logic and syntax, by digging deeper you can work much more effectively with Python – and get more from the language. Python Unlocked walks you through the most effective techniques and best practices for high performance Python programming - showing you how to make the most of the Python language. You’ll get to know objects and functions inside and out, and will learn how to use them to your advantage in your programming projects. You will also find out how to work with a range of design patterns including abstract factory, singleton, strategy pattern, all of which will help make programming with Python much more efficient. Finally, as the process of writing a program is never complete without testing it, you will learn to test threaded applications and run parallel tests. If you want the edge when it comes to Python, use this book to unlock the secrets of smarter Python programming.
Table of Contents (10 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Objects in Depth
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1. Objects in Depth
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Understanding objects
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Making calls to objects
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How objects are created
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Playing with attributes
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Summary
2
2. Namespaces and Classes
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2. Namespaces and Classes
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How referencing objects work – namespaces
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Functions with state – closures
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Understanding import and modules
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Class inheritance
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Using language protocols in classes
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Using abstract classes
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Summary
3
3. Functions and Utilities
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3. Functions and Utilities
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Defining functions
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Decorating callables
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Utilities
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Summary
4
4. Data Structures and Algorithms
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4. Data Structures and Algorithms
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Python built-in data structures
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Python library data structures
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Third party data structures
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Algorithms on scale
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Summary
5
5. Elegance with Design Patterns
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5. Elegance with Design Patterns
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Observer pattern
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Strategy pattern
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Singleton pattern
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Template pattern
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Adaptor pattern
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Facade pattern
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Flyweight pattern
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Command pattern
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Abstract factory
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Registry pattern
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State pattern
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Summary
6
6. Test-Driven Development
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6. Test-Driven Development
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Mock for tests
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Parameterization
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Creating custom test runners
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Testing threaded applications
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Running test cases in parallel
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Summary
7
7. Optimization Techniques
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7. Optimization Techniques
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Writing optimized code
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Profiling to find bottlenecks
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Using fast libraries
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Using C speeds
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Summary
8
8. Scaling Python
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8. Scaling Python
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Going multithreaded
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Using multiple processes
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Going asynchronous
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Scaling horizontally
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Summary
9
Index
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Index

Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "So, we can change an object's type by changing its __class__ attribute."

A block of code is set as follows:

def __init__(self, name):
        self.name = name
        self._observers = weakref.WeakSet()

    def register_observer(self, observer):
        """attach the observing object for this subject
        """
        self._observers.add(observer)
        print("observer {0} now listening on {1}".format(
            observer.name, self.name))

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

        self.assertFalse(assign_if_free(mworker, {}))
    
    def test_worker_free(self,):
        mworker = create_autospec(IWorker)
        mworker.configure_mock(**{'is_busy.return_value':False})
        self.assertTrue(assign_if_free(mworker, {}))

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "Let's take an example of an object iC instance of the C class with the str and lst attributes."

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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Programming languages
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Python Unlocked
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