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Author: Mike

Getting Started with Qt for Python

April 18, 2018 by Mike
The Qt Team recently posted that Qt will now be officially supporting the PySide2 project, which they are calling "Qt for Python". It will be a complete port of the original PySide, which only supported Qt 4. PySide2 supports Qt 5. Qt for Python will have the following license types: GPL, LGPL and commercial. PySide2 […]

PyDev of the Week: Andrew Knight

April 16, 2018 by Mike
This week we welcome Andrew Knight (@automationpanda) as our PyDev of the Week! Andrew is an entrepreneur who co-founded Reformed Menswear and the site was created using Python and Django. If you have a moment, check out his Github profile to find out what Andrew has been contributing to. Andrew also has programming blog that […]

Adding SVGs to PDFs with Python and ReportLab

April 12, 2018 by Mike
ReportLab has native support for generating SVGs, but not for embedding SVGs in their PDFs. Fortunately, Dinu Gherman created the svglib package, a pure-Python package that can read SVG files and convert them to other formats that ReportLab can use. The official website for svglib is on Github. The svglib package will work on Linux, […]

Splitting and Merging PDFs with Python

April 11, 2018 by Mike
The PyPDF2 package allows you to do a lot of useful operations on existing PDFs. In this article, we will learn how to split a single PDF into multiple smaller ones. We will also learn how to take a series of PDFs and join them back together into a single PDF. Getting Started PyPDF2 doesn't […]

Extracting PDF Metadata and Text with Python

April 10, 2018 by Mike
There are lots of PDF related packages for Python. One of my favorite is PyPDF2. You can use it to extract metadata, rotate pages, split or merge PDFs and more. It's kind of a Swiss-army knife for existing PDFs. In this article we will learn how to extract basic information about a PDF using PyPDF2 […]

Anaconda Debuts Data Science Certification Program

April 9, 2018 by Mike
Anaconda put out a press release this morning that states the following: “Anaconda, the most popular Python data science platform provider, today introduced the Anaconda Data Science Certification, giving data scientists a way to verify their proficiency, and organizations an independent standard for qualifying current and prospective data science experts." Anaconda is in a non-exclusive […]
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