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Programming: Qt Design Studio 1.2, Python and More

Submitted by Roy Schestowitz on Tuesday 4th of June 2019 02:37:10 AM Filed under
Development
  • Qt Design Studio 1.2 released

    Qt Design Studio is a UI design and development tool that enables designers and developers to rapidly prototype and develop complex UIs. Both designers and developers use Qt Design Studio and this makes collaboration between the two a lot simpler and more streamlined. To get an impression, you should watch this video.

  • Qt Design Studio 1.2 Released With Sketch Integration, Complex Gradients

    The Qt Company has released Qt Design Studio 1.2, the newest version of their commercial-focused software package aimed at both designers and developers for rapidly prototyping user-interfaces.

    Qt Design Studio 1.2 remains committed to offering an optimal workflow for prototyping and developing complex UIs powered by Qt. With Qt Design Studio 1.2 there is a Qt Bridge for Sketch, allowing you to import assets created in the popular Sketch program to open seamlessly within the Qt Design Studio. Qt Design Studio 1.2 also adds support for more complex gradients and fixes other bugs and issues.

  • Object-Oriented Programming in Python vs Java

    Java programmers making a move to Python often struggle with Python’s approach to object-oriented programming (OOP). The approach to working with objects, variable types, and other language capabilities taken by Python vs Java are quite different. It can make switching between both languages very confusing.

    This article compares and contrasts object-oriented programming support in Python vs Java. By the end, you’ll be able to apply your knowledge of object-oriented programming to Python, understand how to reinterpret your understanding of Java objects to Python, and use objects in a Pythonic way.

  • Anaconda Recognized as a May 2019 Gartner Peer Insights Customers’ Choice for Data Science and Machine Learning Platforms

    The Anaconda team is excited to announce that we have been recognized as a May 2019 Gartner Peer Insights Customers’ Choice for Data Science and Machine Learning Platforms.

  • Pablo Galindo Salgado: The Night's Watch is Fixing the CIs in the Darkness for You

    Python is tested on a menagerie of “buildbot” machines with different OSes and architectures, to ensure all Python users have the same experience on all platforms. As Pablo Galindo Salgado told the Language Summit, the bugs revealed by multi-platform tests are “Lovecraftian horrors”: race conditions, bugs specific to particular architectures or compiler versions, and so on. The core team had to confront these horrors with few good weapons, until now.

  • Python Language Summit Lightning Talks, Part 1

    The Python standard library, Lehtosalo said, contains the modules that most programmers use by default, so it should be fast. The main optimization technique has historically been to write C extensions. So far, 90 standard library modules are partly or entirely written in C, often for the sake of speed, totaling 200,000 lines of C code in the standard library. But C is hard to write and error prone, and requires specialized skills. “C is kind of becoming a dinosaur,” he said, provoking laughter from the core developers.

    As an alternative, Lehtosalo proposes “writing C extensions in Python.” The mypyc compiler reads PEP 484 annotated type-checked Python, and transforms it into C extension modules that run between 2 and 20 times faster than pure Python. Some of Python’s more dynamic features such as monkeypatching are prohibited, and other features are not yet supported, but the project is improving rapidly.

  • Registration (and early-bird pricing) is open for Weekly Python Exercise
  • Predicting Customer Ad Clicks via Machine Learning

    Internet marketing has taken over traditional marketing strategies in the recent past. Companies prefer to advertise their products on websites and social media platforms. However, targeting the right audience is still a challenge in online marketing. Spending millions to display the advertisement to the audience that is not likely to buy your products can be costly.

  • Accuracy: from classification to clustering evaluation
»

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