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Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

Image formats like JPEG and PNG typically work just fine for casual use. However, when scalability matters, there's one particular file type that's better suited for such projects: AI files. An AI ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

There’s a very common format in use for tabular data, the CSV or comma separated value format. Many on-line data sources publish data in this format, and all spreadsheet software can read from and ...

Well, PowerShell itself doesn’t come with a feature to allow you to convert your files. Instead, you will need to use third-party popular tools like FFmpeg and HandBrakeCLI. A lot will also depend on ...

poppler-utils is a collection of command-line tools for working with PDF files. It's based on the Poppler PDF rendering library, which is widely used in Linux environments. pandoc is a document ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

The newly approved Python Enhancement Proposal 751 gives Python a standard lock file format for specifying the dependencies of projects. Here’s the what, why, and when. Python Enhancement Proposal ...

First, we install three essential libraries: BeautifulSoup4 for parsing HTML content, ipywidgets for creating interactive elements, and pandas for data manipulation and analysis. Running it in your ...