Pillow is used for simple operations on images, like resizing, converting to other file formats, and so on. It also can be used to generate custom graphics like infographics or composites of multiple images - memes, infographics, and more. Let's take a look at how it can be done.
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Multiple microservices deployed with Kubernets and Docker mean multiple containers to check for logs when debugging or watching internal communication. It would be handy if we could look through logs in a more organized way - and that's how Docker-watcher was born.
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A company wants to start a new web service - a messaging aggregator for customer support. How do you go from an idea to a Python/Vue/Socket.IO web application? This is a story of ChatPilot.io told by it dev team.
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Video editing is an art of it own but sometimes you may have to generate a video programmatically - like a short marketing or manual type of clip that uses data from your application at the time of creation. This can be done in Python although it won't be that easy. MoviePy and Gizeh can be used to create animated GIFs or video clips with text, images, animated vector graphics and alike. Let see what they can do.
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Basic video streaming on a webpage can be quite handy when you want to show a live view from an IP camera or other similar source. From many solutions available I'll showcase here a simple MJPEG server streaming a video source and displaying it on a webpage.
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Recently I've showcased how to script Ximea cameras in Python. There are other machine vision, microscopy or astronomical cameras that have Python bindings and can be used for image acquisition. In this article I'll go over most popular vendors and their APIs.
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Machine vision cameras are usually intended to be integrated into third party vision systems. This puts a requirement on camera makers to maintain a good set of APIs for their products so that so software developers can use their hardware easily. In this tutorial I'll showcase a PyQt5 and a web based simple imaging applications using Ximea Python API.
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It's time for more PYNQ tips and tricks. This time I'll showcase a bit on software distribution, testing and some funny OpenCV face detection app
.
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In this article I'll go over some additional PYNQ-Z2 features like GPIO, USB and HDMI functionalities. If you are new to PYNQ FPGA accelerated edge-computing platform then you can go check out my introduction tutorial.
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FPGA is an chip that can be configured via a hardware programming language to make nearly any digital circuit. Hardware engineer can use them while Python developer can’t. But there is a distinct group of Xilinx FPGA based devices that can be used by software developers and data engineers, even with Python. This is possible thanks to PYNQ for Xilinx Zynq chips. In this article I'll showcase this platform and it capabilities.
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Qt is a powerful framework for developing cross platform GUI applications. KDE Linux desktop environment uses it as well as many Open Source and commercial applications.
In this article I'll showcase how to use Qt in Python to make GUI applications (the very basics of it).
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Stereo vision isn't something new. It can be used to get 3D data out of imaged scene which can have various usage cases in robotics, science and alike. Basic stereo vision kit would consist of two webcams mounted in one line with some distance from each other. Rarely you could find pre-built webcams of such type.
In this review I'll look at a stereo-webcam KYT-U200-SNF01ND
that integrates two sensors into one output image that functions as one camera.
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Sentiment analysis allows us to quantify subjectivity and polarity of text - of a review, comment and alike. Subjectivity scores a phrase between fact and opinion while polarity scores negative to positive context. In this article I'll show you how to use it to score TripAdvisor reviews but also how to design and implement a simple application with clean code in mind.
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Thermal printers are used to print bills, tickets, labels and alike in shops and various venues. They are small, cheap and get the work done. But how do they work? What can they print and how to control them?
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Image optimization is a broad topic. Image can be converted to different file formats, resized and so on. All for saving bandwidth and decreasing time needed to load all elements of a webpage.
But what if we have an image that is ready to be posted on a web page by a user that isn't an expert? What tools can we use to automatically optimize uploaded images? In this article I'll go over few Python and service based solutions for image optimization.
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After setting up the base of our ember application we can start doing something more with it. For my tutorials I've picked AdminLTE template to make a admin panel alike application.
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Ember.js applications are divided into multiple files and folders. All of which makes sense when we get to know what is where, so lets take a look on Ember application structure.
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In a series of tutorials starting with this one I'll try to showcase ember.js framework for building fronted web applications. As a backend there will be Django Rest Frameowork and more.
As times change and JavaScript frameworks don't just download to your static folder I'll start with setting up Ember.js development environment with ember-cli.
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The PyCon PL 2015 will be held in Hotel Ossa Congress & Spa located in Ossa on October 15th through October 18th. The conference is held in Poland but consists of two blocks of talks - English and Polish, so non-Polish speaking attendees can benefit from it too.
The agenda and other details can be found on the conference website.
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With Django 1.7 we got built in migrations and a management command to squash a set of existing migrations into one optimized migration - for faster test database building and to remove some legacy code/history. Squashing works, but it still has some rough edges and requires some manual work to get the best of a squashed migration. Here are few tips for squashing and optimizing squashed migrations.
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