Import a Firebird 1 database to pandas dataframes, show a summary of the database table names, field names, field data types, and index columns, optionally extract and save table data to a directory, ...
Opening LibreOffice Calc or Excel to check if a CSV has 500 rows or 5,000? To verify low stock items? To spot pricing errors? There's a faster way that works on any Linux server or terminal. This ...
Minimizing clicks and unnecessary navigation is a great way to make the workflow smoother. One of the ways I accomplish this is by using apps that make day-to-day file management faster. If you want ...
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 ...
Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...
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 ...
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Abstract: Storage network protocols such as NVMe-oF operate below the file system layer. Therefore, even when NVMe-oF allows storage volumes to be shared across the network, compute nodes cannot ...
What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...
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