The second edition of Python 101 is completely rewritten from the ground up. In this book, you will learn the Python programming language and lots more.

This book is split up into four sections:

1. The Python Language
2. Intermediate Topics
3. Creating Sample Applications
4. Distributing Your Code

Following is how it will break down in more detail:

Part I - The Python Language

• 01 - Installation
• 02 - Python editors
• 03 - Python style guide / comment rules
• 04 - Integers and floats 
• 05 - Lists
• 06 - Tuples 
• 07 - Dictionaries
• 08 - Sets
• 09 - Strings
• 10 - Boolean
• 11 - Conditional statements
• 12 - Loops
• 13 - Comprehensions
• 14 - Exception Handling
• 15 - Files 
• 16 - Imports
• 17 - Functions
• 18 - Classes

In Part 2 - Intermediate Topics, you will then learn about some intermediate topics, such as:

• Introspection
• Pip
• Python virtual environments
• Threading
• Multiprocessing
• Debugging
• Decorators
• Profiling
• Testing
• Version Control (git)

In Part 3 - Creating Sample Applications, you will learn how to write sample applications:

• How to create a command line application (argparse)
• How to parse XML
• How to parse JSON
• How to Scrape a website
• How to Work with CSV files
• How to work with a database (sqlite)
• How to Create an Excel document
• How to Generate a PDF

Finally in Part 4 you will learn how distribute your code as an executable and as source.

Python 201 is the sequel to my first book, Python 101. If you already know the basics of Python and now you want to go to the next level, then this is the book for you! This book is for intermediate level Python programmers only. There won't be any beginner chapters here. This book is based on Python 3.

The book will be broken up into five parts. Here's how:

Part I - Intermediate Modules

Chapter 1 - The argparse module

Chapter 2 - The collections module

Chapter 3 - The contextlib module (Context Managers)

Chapter 4 - The functools module (Function overloading, caching, etc)

Chapter 5 - All about imports

Chapter 6 - The importlib module

Chapter 7 - The itertools module

Chapter 8 - The re module (An Intro to Regex in Python)

Chapter 9 - The typing module (Type Hinting)

Part II - Odds and Ends

Chapter 10 - generators / iterators

Chapter 11 - map, filter, reduce

Chapter 12 - unicode

Chapter 13 - benchmarking

Chapter 14 - encryption

Chapter 15 - Connecting to databases

Chapter 16 - super

Chapter 17 - descriptors (magic methods)

Chapter 18 - Scope (local, global and the new non_local)

Part III - Web

Chapter 19 - Web scraping

Chapter 20 - Working with web APIs

Chapter 21 - ftplib

Chapter 22 - urllib

Part IV - Testing

Chapter 23 - Doctest

Chapter 24 - unittest

Chapter 25 - mock

Chapter 26 - coverage.py

Part V - Concurrency

Chapter 27 - The asyncio module

Chapter 28 - The threading module

Chapter 29 - The multiprocessing module

Chapter 30 - The concurrent.futures module

ReportLab is the primary package that most Python developers use for creating PDFs programmatically. This book will take a deep dive into this package and teaches you how to use this versatile library.

This book covers the following topics:

• Creating PDFs with ReportLab Canvas methods
• Using PLATYPUS in ReportLab for Dynamic Reports
• Turning Data into Reports with ReportLab
• Splitting / Joining PDFs with PyPDF2 and pdfrw
• Rotating Pages
• PDF Security
• Merging PDFs
• and much, much more!

Creating GUI Applications with wxPython is a book that will teach you how to use wxPython to create applications by actually creating several mini-programs. I have found that while learning how the various widgets work in wxPython is valuable, it is even better to learn by creating a simple application that does something useful.

Note that this book is not for people who are completely unfamiliar with GUIs. While you can probably figure wxPython out using this book, you'll be better off starting with a wxPython tutorial or two and then reading this book.

In this book, you will be creating the following applications:

• A simple image viewer
• A database viewer
• A database editor
• Calculator
• An Archiving application (tar)
• PDF Merging application
• XML Editor
• File search utility
• Simple FTP application
• NASA Image downloader

As you learn how to create these applications, you will also learn how wxPython works. You will go over how wxPython's event system works, how to use threads in wxPython, make use of sizers and much, much more!

What people are saying about the book

"It looks to be very well done and teaches a wide range of functionality." - Robin Dunn, creator of wxPython

Jupyter Notebook 101 will teach you all you need to know to create and use Notebooks effectively. You can use Jupyter Notebook to help you learn to code, create presentations, and make beautiful documentation.

The Jupyter Notebook is used by the scientific community to demonstrate research in an easy-to-replicate manner.

You will learn the following in Jupyter Notebook 101:

• How to create and edit Notebooks
• How to add styling, images, graphs, etc
• How to configure Notebooks
• How to export your Notebooks to other formats
• Notebook extensions
• Using Notebooks for presentations
• Notebook Widgets
• and more!

The Python Imaging Library allows you to use Python to edit photos. The Pillow package is the latest version of the Python Imaging Library. You can use Python to batch process your photos using Pillow.

In this book, you will learn about the following:

• Opening and saving images
• Extracting image metadata
• Working with colors
• Applying image filters
• Cropping, rotating and resizing
• Enhancing images
• Combining images
• Drawing with Pillow
• ImageChops
• Integration with GUI toolkits

You'll learn all these things and more in this book. Soon you will be able to edit photos like a professional using the Python programming language!