Python: Python Automation Techniques And Web Scraping

Length: 213 pages
Edition: 1
Language: English
Publication Date: 2021-07-28
ISBN-10: B09BG4VBKG
ISBN-13: 9798546091330
Sales Rank: #0 (See Top 100 Books)

Have you wondered if there were fun things you could do with Python? Have you ever believed you can improve tasks using Python? If you’ve answered yes, then you have come to the right place.

Python is a language that offers an approachable syntax and great readability. The language resembles English, is simple when compared to other languages and is easier for people to learn. With only a little time, you can write simple programs.

Python also comes with data structure support, and this is something we will be looking at in the book.

Throughout the book, you will learn about:

Python and its installation on your system
Data types and variables in Python
Data structures and creating them
Working with functions
Scraping information off the web
Steps to automate tasks in Python
And more!

The book has many examples you can use to understand how to scrape data from the Internet and clean it for your analysis. The book also has exercises to help you improve your understanding of the concepts.

With this book, open a whole new world of possibilities with Python!

Introduction
Chapter One: An Introduction to Python
    Running Python
    Choosing the Right Version
    Learning While Having Fun
    Choosing to Code
    Getting Started
    Using Python to Create Files
Chapter Two: Data Types and Variables
    Choosing the Right Identifier
    Python Keywords
    Creating and Assigning Values to Variables
    Using Quotes
    Using Whitespace Characters
Chapter Three: Data Structures
    Items in Sequences
    Tuples
    List
    Stacks and Queues
    Dictionaries
Chapter Four: Working with Strings
    Splitting Strings
    Concatenation and Joining Strings
    Editing Strings
    How to Match Patterns
Chapter Five: Conditional Statements
    Comparing Variables
    How to Control the Process
    Using the Conditional Code
    Loops
    Understanding the Jargon
Chapter Six: How to Use Files
    How to Open Files
    Modes and Buffers
    Reading and Writing
    Closing Files
Chapter Seven: Working with Functions
    Function Definitions
    Defining Parameters
    Documenting Your Function
    Working with Scope
    Manipulating Dictionaries and Lists
    Abstraction
Chapter Eight: Web Scraping Using Python
    Understanding Web Scraping
    Scraping a Job Website
Chapter Nine: Tasks to Automate Using Python
    Automating Tasks Using Python
Chapter Ten: Cleaning Data Using Python
    Dropping Columns in a Data Frame
    Changing the Index of a Data Frame
    Clearing Fields in the Data Set
    Combining NumPy and Str Methods to Clean Column Data
    Cleaning the Entire Data Set Using the applymap()
    Renaming Columns and Skipping Rows
    Python Data Cleaning: Recap and Resources
    Manipulating Data Using Python
    Exploring the Data Set
Chapter Eleven: Mistakes Made by Programmers
    Using Defaults as Function Arguments
    Incorrect Use of Class Variables
    Specifying Incorrect Parameters
    Misusing Scope of Pythons
    Modifying and Iterating Lists
    Unsure of Binding Variables
    Creating Circular Modules
    Forgetting to Understand the Changes Between Versions
    Incorrect Use of Del Method
Chapter Twelve: Solutions
    Concatenate two strings
    Sum of Two Numbers
    Even and Odd Numbers
    Fibonacci Series
    Palindrome
    Access Elements in a List
    Slice a List
    Delete Elements in a List
    Access Elements in a Tuple
    Change a Tuple
    Create a String
Conclusion
References