Short summaries of coding news across Python, web development, and SQL, each with a practical next step for learners.
Python’s `round()` function rounds 2.5 to 2, which can surprise beginners. The article explains how to handle rounding errors using `decimal`, NumPy, and pandas.
The article explains how mutable and immutable data types work in Python and how each can be used in code.
This quiz tests your understanding of useful Python comments, including basic syntax and docstrings. It also covers types of comments to avoid.
This tutorial covers ways to create polished, presentation-ready histograms in Python. It explores options and features for making these plots.
The article compares instance methods, class methods, and static methods in Python. It explains when each type is useful in your code.
This article explains what Python exceptions are and how to raise them when something goes wrong. It also covers handling errors with try, except, else, and finally, plus creating your own custom exceptions.
This article explains several ways to run Python code, including the command line, the REPL (an interactive prompt), IDEs, and file managers. It also covers how these methods work on Windows, Linux, and macOS.
The excerpt explains that AI-assisted development lets AI help with coding while the human developer remains responsible for understanding and decisions. In a Stack Overflow survey of more than 30,000 developers, Python and JavaScript were the top languages used with AI tools, likely because they are widely used and have lots of code available for models to learn from. Python’s simpler syntax and libraries also make it a common choice for AI and machine learning work.
The article explains how to create a short lecture recap video by exporting slides to PDF, combining them with notes in a narrated explainer tool, and asking for a brief lesson that ends with a quiz. It describes Scrimba Explain as one option, notes that no recording or on-screen presenter is needed, and says it can be shared by link. It also recommends keeping recaps to 3 to 6 minutes and ending with a check for understanding.
This article explains what functional programming is and how Python supports it. It also looks at where this style fits into everyday code, helping readers understand when it may be useful.
Python can be used to build software, train AI models, automate repetitive chores, and control robots. The excerpt also points to tools and projects that can help beginners get started.
This article introduces the Model-View-Controller (MVC) pattern and shows how it helps organize Python web apps. It then walks through building a small Flask app with models, views, and controllers.
This quiz focuses on using pandas to explore a dataset in Python. It covers loading a CSV file, selecting rows and columns, filtering with queries, grouping data, handling missing values, and making basic plots.
This guide explains how to install Python on Windows, macOS, and Linux. It also covers how to check your Python version and choose the installation method that fits your system best.
This article introduces Python strings and the main tools for working with them. It covers string literals, the str() function, and common string methods and operators used to handle text.