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61. Quiz: Using the Claude API in Python (realpython.com)

In this quiz, you’ll test your understanding of Using the Claude API in Python. By working through this quiz, you’ll revisit how to install the anthropic SDK, send a prompt with client.messages.create(), shape Claude’s behavior with a system prompt, and return structured output using Pydantic. [ Imp...

62. Python 3.15 Preview: frozendict (realpython.com)

Python 3.15 adds a frozendict built-in, giving dictionaries the immutable counterpart that lists and sets have had for years. Freezing a mapping buys you two things. You get safety, since nothing can deliberately or accidentally mutate it once it’s built. You also get hashability, which opens doors ...

63. Quiz: Python 3.15 Preview: frozendict (realpython.com)

In this quiz, you’ll test your understanding of Python 3.15 Preview: frozendict. By working through this quiz, you’ll revisit how to build a frozen mapping, why it isn’t a dict subclass, what it takes to make one hashable, and exactly where the freeze stops. Python 3.15 finally gives dictionaries th...

64. Quiz: Python Constants: Improve Your Code's Maintainability (realpython.com)

In this quiz, you’ll test your understanding of Python Constants: Improve Your Code’s Maintainability. By working through this quiz, you’ll revisit how to name constants, where to define them in a module, how to replace magic numbers with descriptive names, and which constants Python actually enforc...

65. Quiz: Null in Python: Understanding Python's NoneType Object (realpython.com)

In this quiz, you’ll test your understanding of Null in Python: Understanding Python’s NoneType Object. Python uses the keyword None to define null objects and variables. None isn’t defined to be 0 or any other value. It’s a full-blown object and a first-class citizen of the language. By working thr...

66. Python Statistics Fundamentals: How to Describe Your Data (realpython.com)

In the era of big data and artificial intelligence, data science and machine learning have become essential in many fields of science and technology. A necessary aspect of working with data is the ability to describe, summarize, and represent data visually. Python statistics libraries are comprehens...

67. Quiz: Thinking Recursively in Python (realpython.com)

In this quiz, you’ll test your understanding of Thinking Recursively in Python. Problems often look big and scary until you break them down into chunks small enough to solve. By working through this quiz, you’ll revisit how to spot that structure, how to write the base case and recursive case of a r...

68. Quiz: Introduction to pandas (realpython.com)

In this quiz, you’ll test your understanding of Introduction to pandas. By working through this quiz, you’ll revisit how to pull a table off a web page with pandas, how to save your data locally as a CSV file, what a DataFrame holds, and how to chain methods together to calculate statistics. [ Impro...

69. Quiz: HTML and CSS Foundations for Python Developers (realpython.com)

In this quiz, you’ll test your understanding of HTML and CSS Foundations for Python Developers. By working through this quiz, you’ll revisit how to structure a basic HTML document, mark up your content with semantic elements, connect pages and images with links, and take control of the design with C...

70. How to Review AI-Generated Python Code Efficiently (realpython.com)

To review AI-generated code efficiently, you need to put your attention where AI coding agents are most likely to be wrong. This makes your code reviews faster and more accurate. Reviewing an agent’s code isn’t fundamentally different from reviewing a teammate’s. A code review is the process of look...

71. Quiz: Python's Mutable vs Immutable Types: What's the Difference? (realpython.com)

In this quiz, you’ll test your understanding of Python’s Mutable vs Immutable Types: What’s the Difference?. By working through this quiz, you’ll revisit how mutable and immutable objects differ, which built-in types fall into each group, and how mutability shows up in everyday gotchas like variable...

72. Automating EDA With fg-data-profiling (realpython.com)

The fg-data-profiling package generates an exploratory data analysis (EDA) report with a few lines of code. The report provides a dataset and column-level analysis, including plots and summary statistics, to help you quickly understand your dataset. These reports can be exported to HTML or JSON so y...

73. Quiz: How to Get Started With Ollama (realpython.com)

In this quiz, you’ll test your understanding of How to Get Started With Ollama. By working through this quiz, you’ll revisit how to install Ollama and pull models, when to reach for chat() instead of generate(), and how to keep a multi-turn conversation going from your Python code. You’ll also check...

74. Agentic Engineering in Python: From Vibes to Evidence (realpython.com)

Agentic engineering is a disciplined approach to delegating bounded software tasks to AI coding agents while you retain control over intent, constraints, review, and release decisions. Coding agents can turn a vague request into working Python code in seconds. The hard part comes next: deciding whet...

75. Quiz: Agentic Engineering in Python: From Vibes to Evidence (realpython.com)

In this quiz, you’ll test your understanding of Agentic Engineering in Python: From Vibes to Evidence. By working through this quiz, you’ll revisit how to delegate bounded tasks to AI coding agents, how the agent execution loop and the human acceptance loop fit together, and how to interrogate a can...

76. Primer on Jinja Templating (realpython.com)

Jinja is a powerful template engine commonly used in Python web applications to create dynamic web pages. Jinja also supports standalone usage, enabling you to create text files with programmatically filled content, making it versatile beyond web frameworks like Flask and Django. In this tutorial, y...

77. Python Practice Problems: Parsing CSV Files (realpython.com)

Are you a developer looking for some practice with comma-separated values (CSV) files before an upcoming interview? This tutorial will lead you through a series of Python CSV practice problems to help you get ready. This tutorial is aimed at intermediate Python developers. It assumes a basic knowled...

78. Quiz: Traditional Face Detection With Python (realpython.com)

In this quiz, you’ll test your understanding of Traditional Face Detection With Python. You’ll revisit how a computer represents an image, what makes a piece of information a feature, and how the Viola-Jones algorithm combines Haar-like features, integral images, AdaBoost, and cascading classifiers ...

79. Quiz: Python Debugging With Pdb (realpython.com)

In this quiz, you’ll test your understanding of Python Debugging With Pdb. By working through this quiz, you’ll revisit how to print variables and expressions at the (Pdb) prompt, step through code with n and s, set breakpoints that only fire when a condition holds, watch expressions as they change,...

81. Quiz: The subprocess Module: Wrapping Programs With Python (realpython.com)

In this quiz, you’ll test your understanding of The subprocess Module: Wrapping Programs With Python. By working through this quiz, you’ll revisit how to launch external programs from Python, read the exit code that a process leaves behind, and raise an exception when a command fails. You’ll also ch...

82. Quiz: An Effective Python Environment: Making Yourself at Home (realpython.com)

In this quiz, you’ll test your understanding of An Effective Python Environment: Making Yourself at Home. By working through this quiz, you’ll revisit the choices that shape your day-to-day Python setup, including shells and terminal emulators, managing multiple Python versions with pyenv, isolating...

83. Python 3.15 Preview: Lazy Imports (realpython.com)

Python 3.15 adds lazy imports: a lazy keyword that puts off loading a module until the first time you use it. The import statement stays where it belongs, at the top of your file, but the work of running it moves to the moment something touches the module’s name. In this tutorial, you’ll make a comm...

84. An Effective Python Development Environment (realpython.com)

You want to set up a Python development environment and start coding. But before you’ve written your first script, you’ve come across discussions about editors, shells, virtual environments, and half a dozen tools for installing packages. How much of this do you need to get started? An effective set...

85. Quiz: Starting With Python IDLE (realpython.com)

In this quiz, you’ll test your understanding of Starting With Python IDLE. By working through this quiz, you’ll revisit how the IDLE shell works as a REPL, how to write and run Python files in the editor, how to step through your code with the built-in debugger, and how to customize the way IDLE loo...

86. Quiz: Python 3.15 Preview: Lazy Imports (realpython.com)

In this quiz, you’ll test your understanding of Python 3.15 Preview: Lazy Imports. Python 3.15 adds a lazy keyword that puts off loading a module until the first time you use it. The import statement stays where it belongs, at the top of your file, but the work of running it moves to the moment some...

87. Python Timer Functions (realpython.com)

A timer is a powerful tool for monitoring the performance of your Python code. By using the time.perf_counter() function, you can measure execution time with exceptional precision, making it ideal for benchmarking. Using a timer involves recording timestamps before and after a specific code block an...

88. Quiz: Python Timer Functions (realpython.com)

In this quiz, you’ll test your understanding of Python Timer Functions. By working through this quiz, you’ll revisit the timer functions in Python’s time module and the tradeoffs between them. You’ll also review how a timer grows from a plain class into a data class and then into a context manager t...

89. Async Generators Get yield from and Other Python News for September 2026 (realpython.com)

August was a month for reading release notes rather than writing new code. Python 3.15 stopped accepting changes to its application binary interface, and three older branches got security patches with real CVEs behind them. Four separate AI libraries shipped breaking releases in ten days, and the la...

90. Quiz: Python Statistics Fundamentals: How to Describe Your Data (realpython.com)

In this quiz, you’ll test your understanding of Python Statistics Fundamentals: How to Describe Your Data. By working through these questions, you’ll revisit the numerical quantities that describe and summarize a dataset, including the measures of central tendency, variability, and correlation. You’...
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