Interactive Quiz ⋅ 10 QuestionsBy Ian Eyre Share In this quiz, you’ll test your understanding of How to Use Conditional Expressions With NumPy where(). By working through the questions, you’ll consolidate the knowledge you gained from the tutorial and take yourself beyond what you learned. To answer some of the questions, you’ll need to do some research outside of the tutorial itself. Embrace this challenge because exploration can take you on a valuable learning journey. The quiz contains 10 questions […]

Interactive Quiz ⋅ 9 QuestionsBy Martin Breuss Share In this quiz, you’ll test your understanding of generating images with DALL·E by OpenAI API using Python. By working through this quiz, you’ll revisit how to use the OpenAI Python library, make API calls related to image generation, create images from text prompts, create variations of an image, and convert Base64 strings to PNG image files. The quiz contains 9 questions and there is no time limit. You’ll get 1 point for […]

Describe any image, then let a computer create it for you. What sounded futuristic only a few years ago has become reality with advances in neural networks and latent diffusion models (LDM). DALL·E by OpenAI has made a splash through the amazing generative art and realistic images that people create with it. OpenAI allows access to DALL·E through their API, which means that you can incorporate its functionality into your Python applications. You’ll need some experience with Python, JSON, and […]

Scrapy is a robust Python web scraping framework that can manage requests asynchronously, follow links, and parse site content. To store scraped data, you can use MongoDB, a scalable NoSQL database, that stores data in a JSON-like format. Combining Scrapy with MongoDB offers a powerful solution for web scraping projects, leveraging Scrapy’s efficiency and MongoDB’s flexible data storage. If you’re new to web scraping and you’re looking for flexible and scalable tooling, then this is the right tutorial for you. […]

This course covers two problems from introductory astronomy to help you play with some Python libraries. You’ll use Astropy, NumPy, Matplotlib, and pandas to find planet conjunctions, and graph the best viewing times for a star. In this course you’ll learn about: Astronomy concepts of conjunction and optimal viewing The Python package Astropy Using pandas to process data Building graphs with Matplotlib Python’s warning module What’s Included: Downloadable Resources:    

Watch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Python Basics: Setting Up Python Installing the latest version of Python on your computer could be a common requirement for you as a Python programmer. Fortunately, you’ll have a multitude of installation options. For example, you can download the official Python installer from Python.org, use your operating system’s package manager or app store, and […]

Interactive Quiz ⋅ 5 QuestionsBy Philipp Acsany Share In this quiz, you’ll test your understanding of Jinja templating. Jinja is a powerful tool for building rich templates in Python web applications, and it can also be used to create text files with programmatic content. The quiz contains 5 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the quiz, you’ll receive a total score. The maximum score is 100%. Good […]

This course uses three problems often covered in introductory astro-physics courses to play in Python. Along the way you’ll learn some astronomy, and how to use a variety of datascience libraries like NumPy, Matplotlib, pandas, and pint. In this video course you’ll learn about: Introductory astrophysics topics Working with dataframes in pandas Writing code that uses scientific units Visualizing information with Matplotlib What’s Included: Downloadable Resources:    

Interactive Quiz ⋅ 8 QuestionsBy Geir Arne Hjelle Share Or copy the link: Copied! Happy Pythoning! In this quiz, you’ll test your understanding of the Python Walrus Operator. This operator, used for assignment expressions, was introduced in Python 3.8 and can be used to assign values to variables as part of an expression. The quiz contains 8 questions and there is no time limit. You’ll get 1 point for each    

Interactive Quiz ⋅ 13 QuestionsBy Martin Breuss Share Or copy the link: Copied! Happy Pythoning! In this quiz, you’ll test your understanding of Web Scraping with Scrapy and MongoDB. By working through this quiz, you’ll revisit how to set up a Scrapy project, build a functional web scraper, extract data from websites using selectors, store scraped data in a MongoDB database, and test and debug your Scrapy web scraper. The