Dictionaries are one of the most important and useful built-in data structures in Python. They’re everywhere and are a fundamental part of the language itself. In your code, you’ll use dictionaries to solve many programming problems that may require iterating through the dictionary at hand. In this tutorial, you’ll dive deep into how to iterate through a dictionary in Python. Solid knowledge of dictionary iteration will help you write better, more robust code. In your journey through dictionary iteration, you’ll […]

You can use the Click library to quickly provide your Python automation and tooling scripts with an extensible, composable, and user-friendly command-line interface (CLI). Whether you’re a developer, data scientist, DevOps engineer, or someone who often uses Python to automate repetitive tasks, you’ll very much appreciate Click and its unique features. In the Python ecosystem, you’ll find multiple libraries for creating CLIs, including argparse from the standard library, Typer, and a few others. However, Click offers a robust, mature, intuitive, […]

If you’re active on social media, then you know that images and videos are popular forms of content. As a programmer, you mainly work with text, so sharing the content that you create on a daily basis may not seem intuitive. That’s where a code image generator can come in handy for you! With a code image generator, you can create a nice-looking image of your code snippets. That way, you can share code without worrying about formatting, different syntax […]

Now that you’ve installed Polars and have a high-level understanding of why it’s so performant, it’s time to dive into some core concepts. In this section, you’ll explore DataFrames, expressions, and contexts with examples. You’ll get a first impression of Polars syntax. If you know other DataFrame libraries, then you’ll notice some similarities but also some differences. Getting Started With Polars DataFrames Like most other data processing libraries, the core data structure used in Polars is the DataFrame. A DataFrame […]

Whenever you think of Python’s asterisk operator (*), you most likely think of multiplication or exponentiation. Similarly, you probably associate the forward slash operator (/) with division. But you can also use the bare asterisk and slash as special parameters in function headers. These do something completely unrelated to mathematics. When defining functions, you’ll often include a list of comma-separated parameters to define what types of arguments the user can pass to your function. Using the asterisk and forward slash […]

You’ve used ChatGPT, and you understand the potential of using a large language model (LLM) to assist you in your tasks. Maybe you’re already working on an LLM-supported application and read about prompt engineering, but you’re unsure how to translate the theoretical concepts into a practical example. Your text prompt instructs the LLM’s responses, so tweaking it can get you vastly different output. In this tutorial, you’ll apply multiple prompt engineering techniques to a real-world example. You’ll experience prompt engineering […]