I’m lazy. Like every lazy person, I can dedicate a lot of time and effort to something that will allow me to stay lazy (a little counter-intuitive – I know). So what is the problem now? I like to use markdown language for all my notes, plans, documents, etc. It’s super simple and provides a …
Markdown to Word Converter with Python and Pandoc Read More »
There are many “AI coding” tools, including GitHub’s Copilot – but none of them are able to work with multiple files at a time. AIDER project can! It is a “GPT-powered coding in your terminal”. GitHub: https://github.com/paul-gauthier/aider Let’s start by creating a new environment with Anaconda. If you’d like to learn how to use Anaconda properly, …
Python is a versatile and widely used programming language known for its simplicity and readability. Whether you are a beginner or an experienced programmer, Python offers a range of tools and libraries that make it a popular choice for various projects. In this article, we will explore how to get started with Python, including where …
JSON (JavaScript Object Notation) is a popular data interchange format that is widely used for data storage and transmission. Python provides built-in support for working with JSON data through the json module. Let’s explore working with JSON in Python: Explanation: Now it’s time for a practical task: Task 21: Create a Python dictionary representing a …
Databases are a fundamental component of many applications, and Python provides powerful libraries for working with databases. In this lesson, we will focus on working with relational databases using the Structured Query Language (SQL) and the SQLite database engine. Let’s explore working with databases in Python: Explanation: Now it’s time for a practical task: Task …
Decorators are a powerful feature in Python that allow us to modify or enhance the behavior of functions or classes without directly modifying their source code. Decorators are implemented using the concept of functions as first-class objects and function closures. Let’s explore decorators in Python: Explanation: Now it’s time for a practical task: Task 19: …
Generators and iterators are powerful concepts in Python that allow for efficient and memory-friendly iteration over a sequence of values. They enable lazy evaluation, generating values on-the-fly rather than generating all values at once. Let’s explore generators and iterators in Python: Explanation: Now it’s time for a practical task: Task 18: Write a generator function …
Error handling, also known as exception handling, is a crucial aspect of writing robust and reliable code. Exceptions are events that occur during the execution of a program that disrupts the normal flow of instructions. Python provides a mechanism to handle exceptions using try-except blocks, allowing us to gracefully handle errors and prevent program crashes. …
File handling is a crucial aspect of programming that allows us to read from and write to files on the disk. Python provides built-in functions and methods for working with files, enabling us to perform various operations such as reading, writing, appending, and modifying file content. Let’s explore file handling in Python: Explanation: Now it’s …
Modules and packages are essential concepts in Python that help organize and structure code into reusable and manageable components. A module is a single file containing Python definitions, functions, and classes. A package is a collection of modules organized in a directory hierarchy. Let’s explore modules and packages in Python: Explanation: Now it’s time for …
