Python

How to use Spidermon to monitor Scrapy projects. Plus how to deploy your spiders in the cloud.

Create a web scraper in Python with the Apify CLI and code templates.

Find out how to scrape data with Scrapy pipelines and store it in a PostgreSQL database with Scrapy pipelines.

Learn how to develop custom middleware for your Scrapy projects.

Which is the better language for data analysis, visualization, and machine learning?

Learn the differences between Python lists and tuples and when and how to use them.

As Selenium projects grow in complexity, maintaining and scaling test scripts can become challenging. This is where the Page Object Model (POM) steps in as a way for Selenium users to write more scalable and readable code.

Advanced HTML parsing techniques and troubleshooting tips.

PyTorch or TensorFlow for deep learning? Find the answer in this in-depth comparison.

Struggling with inconsistent deployments? Discover how to master Docker for smooth, scalable Python apps. We look at Docker basics, some advanced concepts, and troubleshooting tips.

Discover how to interact with Discord using Python for tasks like sending, reading, updating, and deleting messages. We also guide you through enabling developer mode, getting your Discord token, and finding channel IDs.

Handling iframes in Selenium WebDriver often requires special attention due to their isolated environments. Learn why conventional Selenium methods fall short and explore effective techniques for switching frames and interacting with elements within iframes.

By the end of this short tutorial, you'll know how to use Python to develop a retrieval-augmented chatbot!

Explore the practical application of the GitHub API through Python in this detailed guide. Understand the methods to automate tasks, manage repositories, and directly interact with GitHub's capabilities from your Python code.

Learn how to interact with APIs using Python, about Requests, and common HTTP methods. Plus some advanced techniques and troubleshooting.

Learn how to use Python and machine learning to solve complex problems that defeat traditional programming methods. Find out about Pandas, TensorFlow, Scikit-learn, and how they can transform data.

We break down the data extraction process and provide some useful web scraping tools you can use and combine for your projects.

Learn about the value of web scraping, the challenges of automated data extraction, and a range of tools for collecting information from websites.