Name: Python for Professionals
Price: 19.95 USD
ISBN: 9789389423754

BPB Online LLP

Matt Telles

Python for Professionals

US$ 19.95

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Description

Contents

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Learn to be a Python expert in ten easy lessons!

Key Features
Acquire knowledge of Python programming simply and easily.
Learn about object-oriented programming and how it applies to Python.
Make a splash with list comprehensions, generators, and decorators.
Learn about file processing with Python, and how it makes JSON easy to deal with.
Work with dictionaries and sets quickly and easily.
Learn about what others have made available in the Python world.
Pick up tricks and tips that will make you look like a Python expert in no time.

Description
This book is intended for the professional programmer who wants to learn Python for their place of business, or simply to extend their knowledge. You will learn the basics of the language--from how to define variables and implement looping and conditional constructs, to working with existing code. Once we have established the baseline for writing code in Python, you’ll learn how to create your own functions and classes, how to extend existing code, and how to work with Python-specific things like comprehensions and generators. With a solid foundation, you will then move on to learn about the existing Python libraries, called packages, and how to use them, as well as discovering little tips and tricks that will make you a hit with all the programmers at work, and really aid you in nailing that programming interview.

What will you learn
By the time you have finished this book, you will know enough to write complex Python programs and work with existing Python code. You will find out about the packages that make Python one of the most popular programming languages and will understand the “Pythonic” way of thinking and programming.

Who this book is for
This book is designed for programmers who have experience in at least one programming language. No prior Python experience is necessary, but it is assumed that you understand the basics of loops, conditionals and object-oriented constructs, such as classes. You should have or have access to a system that runs Python 3 (any version).

Table of Contents
1. The history and installation of Python
2. Python types and constructs
3. The Nuts and Bolts
4. Structuring your Python projects
5. Object-oriented programming with Python
6. Advanced manipulations
7. File input and output
8. Imports and Exports
9. Miscellaneous
10. Not re-inventing the wheel
11. Tips and Tricks

About the Author
Matt Telles is a 35-year veteran in the software industry. He has worked with virtually all programming languages and has been a developer, manager, tester, and designer. He’s been working on Python for several years and is constantly extending his knowledge in the field.
Matt is married with three children, lives in New York, in the United States. He has a menagerie of cats, dogs and a turtle, and loves reading books on his Microsoft Surface on the train to work every morning.

Your LinkedIn Profile: www.linkedin.com/in/matt-telles-362ba5

Language

English

ISBN

9789389423754

Cover Page

Title Page

Dedication

About the Author

About the Reviewer

Acknowledgement

Preface

Errata

Table of Contents

1. The History and Installation of Python

Introduction

Structure

Objectives

Python: the language

History

Selecting a Python version

Why not use 2.7?

Which 3.x to use?

Installing

Testing your installation

The Zen of Python

Keeping it simple

Keeping it readable

Never is better than right now

Using pip

Using virtual environments

Python IDE’s and command line work

Hello world

Conclusion

Questions

2. Python Types and Constructs

Introduction

Structure

Objectives

Integers

Floating point numbers

Boolean

Complex values

Variable naming

Strings

Finding substrings

Multiple line strings

Concatenating

Other methods

Python Collections

Lists

Dictionaries

Getting the value of a key

Testing if a key is in a dictionary

Iterating

Length of a dictionary

Adding new items

Nested dictionaries

Sets

Tuples

Iterators and iterables

Sorted

The zip function

Booleans and truthiness

Comments

Conclusion

Questions

3. The Nuts and Bolts

Introduction

Structure

Objectives

Conditionals

The “walrus” operator

ANDs, ORs, NOTs, and logicals

Indentation

The pass statement

Loops

Functions

Parameters

Return values

Required vs optional arguments

Keyword arguments

Variable length arguments

Lambdas

Classes

Scoping

Objects

Conclusion

Questions

4. Organizational Skills

Introduction

Structure

Objectives

Immediate mode

Modules

Packages

Importing

Paths

Dot notation in naming

Installing packages using pip

Insuring requirements with pip

User installs vs system installs

Conclusion

Questions

5. Object-Oriented Programming

Introduction

Structure

Objective

Object-oriented programming with Python

Abstraction

Encapsulation

Inheritance

Multiple inheritance

Polymorphism, the Python way

Overloading of methods

Overloading of operators

Comparisons and overloading

Read-only attributes

The __new__operator

Classes and Iteratables

Chaining of operations

Initialization

Conclusion

Questions

6. Advanced Manipulations

Introduction

Structure

Objectives

List comprehensions

Dictionary comprehensions

Nested dictionary comprehensions

Applying functions

Restrictions on dictionary comprehensions

Set comprehensions

Generators

Building a string from a list

Searching a string

Searching a collection

Using a set of functions to create an extensible state machine

Filtering vs removing

Slicing

Lambda expressions

The ‘splat’ operator and unpacking

Conclusion

Questions

7. File Input and Output

Introduction

Structure

Objectives

Files

Working with files

Using the with statement

Reading fixed length data from files in Python

Reading a text file by lines in Python

A readlines real-world example

Python and binary files

JSON parsing

JSON writing

Serializing complex objects in JSON

Reading in text vs reading in lines

Writing out lines

Output formatting

Pickling

Conclusion

Questions

8. Imports and Reuse

Introduction

Structure

Objectives

Import and reuse of code

Importing

Importing modules

Importing packages

Dynamic imports

Working with the os module

Directory and file information

Listing installed packages

Reflection

Using Reflection

Conclusion

Questions

9. Miscellaneous

Introduction

Structure

Objectives

Decorators

Variable arguments

Character encoding

Properties

Description strings

Namespaces

Context managers

Metaclasses

Dynamic classes and functions

Deep vs shallow copying

Exception handling

Conclusion

Questions

10. Not Reinventing the Wheel

Introduction

Structure

Objectives

Not reinventing the wheel

Itertools

Flask

Adding authentication

Numpy

Installing Numpy

Getting started: The basic array

Accessing Numpy Data

Data types

Modifying arrays with Numpy

Numpy mathematical functions

Logging

Unit test

Setup and teardown

Mocking

Concurrency

The emoji package

The pprint package

The requests package

Conclusion

Questions

11. General Tips and Tricks

Introduction

Structure

Objectives

Implementing a switch statement with dictionaries

Remove duplicates from a list

Determine the size of your objects in memory

Find the most frequent item in a list

Creating an enum in a class

Detect Python version

Using the _ (underscore) operator

Discovering where a module is imported from

Swapping two values without an intermediate temporary

Using the classmethod decorator to create static methods

Using the **kwargs to pass a named list of parameters

Type hints

Finding the day of the week using the calendar module

Working with regular expressions

Conclusion

Questions

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