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Top 20 Best Data Mining Software for Linux in 2019

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GNU
Linux

Data mining is the process of analyzing large amounts of data for obtaining useful information. It has incredibly diverse applications in fields of academic research and business. Researchers use data mining for inferring new solutions to computational research problems while corporations depend on it for gaining the upper hand in business revenues. Companies like Amazon utilize different data mining techniques for improving on their product recommendation engine while search giants like Google and Microsoft leverage them for effectively ranking their search engine results. Thanks to the increasing demand for Data Science in general, a plethora of robust data mining software for Linux has been shipped in the past decades. Stay with us to know more about the top 20 Linux data mining software.

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More in Tux Machines

Audiocasts/Shows: FLOSS Weekly, Python Shows and Noodlings

  • FLOSS Weekly 547: OggCamp

    OggCamp is an unconference celebrating Free Culture, Free and Open Source Software, hardware hacking, digital rights, and all manner of collaborative cultural activities and is committed to creating a conference that is as inclusive as possible.

  • Talk Python to Me: #230 Python in digital humanities research

    You've often heard me talk about Python as a superpower. It can amplify whatever you're interested in or what you have specialized in for your career. This episode is an amazing example of this. You'll meet Cornelis van Lit. He is a scholar of medieval Islamic philosophy and woks at Utrecht University in the Netherlands. What he is doing with Python is pretty amazing.

  • Cultivating The Python Community In Argentina

    The Python community in Argentina is large and active, thanks largely to the motivated individuals who manage and organize it. In this episode Facundo Batista explains how he helped to found the Python user group for Argentina and the work that he does to make it accessible and welcoming. He discusses the challenges of encompassing such a large and distributed group, the types of events, resources, and projects that they build, and his own efforts to make information free and available. He is an impressive individual with a substantial list of accomplishments, as well as exhibiting the best of what the global Python community has to offer.

  • Episode #148: The ASGI revolution is upon us!
  • Noodlings | Commander X16, BDLL and openSUSE News

    The mission of the computer. Similar to the Commodore 64 but made with off the shelf components. As far as the architecture goes, it is actually closer to the VIC-20 on board design but far, far more capable. I am rarely excited about new things, I like my old computers and really existing technology. I tend to drag my heels at the very thought of getting something new. This, for whatever reason gets me excited and I can’t exactly put my finger on it. This all started out as a kind of pondering in 2018 and in February 2019 with a video from David Murray, the 8-bit Guy’s Dream Computer. the discussion started by the 8-bit Guy The initial design started with the Gameduino for the video chip which had some technical hurdles and was based on an obsolete, as in, no longer supported, chip that doesn’t have a large pool of developers and hackers working on it. After some discussions and planning, it was decided to base it largely off of the VIC-20 as most of the chips are still available today and it is a known working design. Some of the changes would be a faster processor, better video and better sound components.

Mozilla: The Rust Programming Language and Firefox Releases

  • The Rust Programming Language Blog: Upcoming docs.rs changes

    On September 30th breaking changes will be deployed to the docs.rs build environment. docs.rs is a free service building and hosting documentation for all the crates published on crates.io. It's open source, maintained by the Rustdoc team and operated by the Infrastructure team.

  • Flatulence, Crystals, and Happy Little Accidents

    The recording of my Rust Conf talk on algorithmic art and pen plotters is up on YouTube! [...] I really enjoyed giving this talk, and I think it went well. I want more creative coding, joy, surprise, and silliness in the Rust community. This talk is a small attempt at contributing to that, and I hope folks left inspired.

  • You'll get a new Firefox each month in 2020 as Mozilla speeds up releases

    Mozilla will turn the Firefox crank faster in 2020, releasing a new version of its web browser every four weeks instead of every six. If you're using the browser, the change should deliver new features to you faster since there will be less waiting between when developers build them and when they arrive. "In recent quarters, we've had many requests to take features to market sooner. Feature teams are increasingly working in sprints that align better with shorter release cycles. Considering these factors, it is time we changed our release cadence," Firefox team members Ritu Kothari and Yan Or said in a blog post Tuesday. "Shorter release cycles provide greater flexibility to support product planning and priority changes due to business or market requirements."

GNU lightning 2.1.3 released!

GNU lightning is a library to aid in making portable programs 
that compile assembly code at run time. 
Development: 
http://git.savannah.gnu.org/cgit/lightning.git 
Download release: 
ftp://ftp.gnu.org/gnu/lightning/lightning-2.1.3.tar.gz 
  2.1.3 main features are the new RISC-V port, currently supporting 
only Linux 64 bit, and a major rewrite of the register live and 
unknown state logic, so that a long standing issue with a live 
register not accessed for several consecutive blocks could be 
incorrectly assumed dead. 
The matrix of built and tested environments is: 
aarch64	 Linux (Linaro, Foundation_v8pkg) 
alpha	 Linux (QEMU) 
armv7l	 Linux (QEMU) 
armv7hl	 Linux (QEMU) 
hppa	 Linux (32 bit, QEMU) 
i686	 Linux and Cygwin 
ia64	 Linux 
mips	 Linux (32 bit) 
powerpc32	Linux 
powerpc64	Linux and AIX 
powerpc64le	Linux 
riscv	 Linux (64 bit, QEMU) 
s390	 Linux (Hercules) 
s390x	 Linux (Hercules) 
sparc	 Linux (QEMU) 
sparc64	 Linux (QEMU) 
x32	 Linux (QEMU) 
x86_64	 Linux and Cygwin 

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Programming: Python and C++

  • Python alternative to Docker

    Deploying a Python app to a server is surprisingly hard. Without blinking, you’ll be dealing with virtual environments and a host of other complications. The landscape of deployment methods is huge. What if I told you that there is a way to build your app into a single file and it isn’t a Docker container? In this article, we’re going to look at common ways of deploying Python apps. We’ll explore the touted benefits of Docker containers to understand why containers are so popular for web apps. Finally, we’ll look at an alternative to Docker that may be a lot simpler for your Python web app and compare and contrast this alternative against Docker.

  • How to Convert a Python String to int

    Integers are whole numbers. In other words, they have no fractional component. Two data types you can use to store an integer in Python are int and str. These types offer flexibility for working with integers in different circumstances. In this tutorial, you’ll learn how you can convert a Python string to an int. You’ll also learn how to convert an int to a string.

  • Free Coaching For PyGotham Speakers

    I help organize PyGotham, NYC’s annual conference about the Python programming language. For the third year in a row, we’re giving our speakers free sessions with a professional speaking coach, opera singer Melissa Collom. In the past we’ve limited coaching to first-time speakers, but we’re now able to coach everyone.

  • 8 Excellent C++ Natural Language Processing Tools

    Natural language processing (NLP) is a set of techniques for using computers to detect in human language the kinds of things that humans detect automatically. Natural language processing (NLP) is an exciting field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages. It includes word and sentence tokenization, text classification and sentiment analysis, spelling correction, information extraction, parsing, meaning extraction, and question answering.