1.
All About Strings
4 Lessons
In this chapter, you will learn how to handle Python strings, including creation, manipulation, slicing techniques, and formatting for efficient programming.
2.
Lists, Tuples and Dictionaries
4 Lessons
This chapter covers essential Python data types, such as lists, tuples, and dictionaries, which are crucial for effective programming.
3.
Conditional Statements
6 Lessons
This chapter teaches how to implement decision-making in Python using if/elif/else statements and boolean operations for flexible logic.
Learn how loops in Python enable repeated operations through for and while constructs, simplifying repetitive coding tasks with various control mechanisms.
5.
Python Comprehensions
4 Lessons
In this chapter, you will learn how Python comprehensions create lists, dictionaries, and sets efficiently, making your code cleaner and more readable.
6.
Exception Handling
5 Lessons
This chapter covers exception handling in Python, including error management, common exceptions, and effective cleanup practices.
7.
Working with Files
6 Lessons
This chapter explores file handling in Python, including reading, writing, efficient processing, error management, and best practices with the `with` operator.
In this chapter, you will learn how to import modules in Python, with a focus on methods and best practices for effective code management.
This chapter explores function definitions, argument handling, variable scope, and the importance of avoiding code duplication in Python programming.
In this chapter, you will learn how to use Python classes, covering their structure, instance management, and the principles of inheritance and polymorphism.
This chapter covers how to use Python’s introspection features, including `type`, `dir`, and `help`, for better code insight and debugging.
In this chapter, you will learn how to use the CSV module in Python to read and write CSV files efficiently.
In this chapter, you will learn how to use Python’s `configparser` module for managing configuration files, including creation, manipulation, and interpolation.
This chapter teaches how to use Python’s logging for effective debugging, covering structured logging, multi-module support, and configuration options.
Learn how to use the `os` module in Python for file and directory operations, accessing platform information, and handling environmental variables.
Learn how to send and manage emails in Python, including handling CC, BCC, and attachments for enhanced functionality.
17.
The SQLite Module
4 Lessons
This chapter introduces SQLite’s integration with Python, covering database creation, data manipulation, and executing basic SQL queries efficiently.
18.
The subprocess Module
4 Lessons
Learn how the subprocess module in Python facilitates process initiation and management, supports safe execution, and communicates with external applications.
In this chapter, you will learn to use the `sys` module for managing system parameters, command line arguments, and input/output operations in Python.
20.
The threading module
2 Lessons
This chapter explores Python’s threading module, focusing on thread creation and practical applications such as concurrent file downloading.
21.
Working with Dates and Time
3 Lessons
In this chapter, you will learn to use Python’s `datetime` and `time` modules for date operations, formatting, and calculations.
This chapter teaches you to use Python’s XML module, including `minidom` and `ElementTree`, for efficient XML creation, editing, and parsing.
23.
The Python Debugger
4 Lessons
Learn how to use the Python debugger to start sessions, step through code, and set breakpoints for efficient debugging.
In this chapter, you will discover how Python decorators can refine function behavior, promote cleaner code, and simplify logging and attribute handling.
This chapter teaches you about lambda functions in Python and demonstrates their use in managing events with Tkinter.
Learn how code profiling in Python helps identify performance issues, enabling optimizations through tools like `cProfile` and `timeit` for enhanced efficiency.
27.
An Intro to Testing
4 Lessons
This chapter teaches you about Python’s testing tools, such as `doctest` and `unittest`, and their role in Test Driven Development for better coding practices.
28.
Installing Modules
5 Lessons
Learn how to install Python packages from source, use `pip` and `easy_install` methods for package installation, and manage dependencies effectively.
This chapter teaches how ConfigObj improves Python configuration management by supporting nested sections, validation, and dictionary-like integration.
30.
Parsing XML with lxml
5 Lessons
In this chapter, you will discover how to use the lxml library for XML parsing and creation in Python, focusing on its features and applications.
31.
Python Code Analysis
3 Lessons
This chapter teaches you how pylint and pyflakes can be used for Python code analysis, highlighting their role in identifying errors and enhancing code quality.
32.
The requests package
2 Lessons
This chapter explores how the requests package simplifies HTTP requests in Python, offering an easy-to-use API for managing web form submissions.
In this chapter, you will learn how SQLAlchemy, a Python ORM, simplifies database creation, data manipulation, and querying with its powerful features.
In this chapter, you will discover how Virtualenv creates isolated Python environments to manage dependencies and facilitate safe experimentation.
35.
Creating Modules and Packages
3 Lessons
This chapter teaches you how to develop Python modules and packages, highlighting their structure and usability for more organized and efficient programming.
36.
How to Add Your Code to PyPI
4 Lessons
In this chapter, you will discover how to prepare and upload Python packages to PyPI, with a focus on setup.py and necessary configurations.
This chapter covers Python eggs, a legacy distribution format, and their relevance in managing existing Python packages.
This chapter covers the Python wheel format for packaging, creation, and installation, highlighting its advantages for project management and testing.
Learn how to use py2exe to convert Python applications into Windows executables, including GUI development, setup, and troubleshooting.
This chapter explores bbfreeze, a tool for creating standalone binaries from Python scripts supported on xWindows and Linux platforms.
This chapter focuses on cx_Freeze, a tool for converting Python scripts into executables, covering installation, basic usage, and advanced setup techniques.
In this chapter, you will learn how PyInstaller creates standalone executables from Python scripts, ensuring compatibility across various operating systems.
43.
Creating an Installer
3 Lessons
In this chapter, you will discover how to create an installer in Python using GUI2Exe and Inno Setup, focusing on executable generation and packaging.