Visualizing Multidimensional Data in Python

@tachyeonz : Nearly everyone is familiar with two-dimensional plots, and most college students in the hard sciences are familiar with three dimensional plots. However, modern datasets are rarely two- or three-dimensional.

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How to use Windows-10 WSL — (Built In Linux) for Machine Learning !

@tachyeonz : A large number of open source libraries\modules in machine learning are first made available for Linux and the windows versions are always released later . Maintaining two separate OS on Dual boot or switching between Virtual machines is not the best way.

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Top 15 Python Libraries for Data Science in 2017

@tachyeonz : As Python has gained a lot of traction in the recent years in Data Science industry, we wanted to outline some of its most useful libraries for data scientists and engineers, based on our experience.

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Tmux and Vim – even better together

@tachyeonz : On their own, tmux and vim are both great tools; together, they’re even better. Recently, I wrote about a few benefits of using tmux. The benefits I discussed there are independent of one’s choice of text editor. But if you’re a vim user, the benefits of tmux reach even further.

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Asynchronous Python

@tachyeonz : Asynchronous programming in python has become more and more popular lately. There are many different libraries in python for doing asynchronous programming. One of these libraries is asyncio, which is a python standard library added in Python 3.4.

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Asynchronous Python

@tachyeonz : Asynchronous programming in python has become more and more popular lately. There are many different libraries in python for doing asynchronous programming. One of these libraries is asyncio, which is a python standard library added in Python 3.4.

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Try Deep Learning in Python now with a fully pre-configured VM

@tachyeonz : I love to write about face recognition, image recognition and all the other cool things you can build with machine learning. Whenever possible, I try to include code examples or even write libraries/APIs to make it as easy as possible for a developer to play around with these fun technologies.

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Try Deep Learning in Python now with a fully pre-configured VM

@tachyeonz : I love to write about face recognition, image recognition and all the other cool things you can build with machine learning. Whenever possible, I try to include code examples or even write libraries/APIs to make it as easy as possible for a developer to play around with these fun technologies.

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Connect On:
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5 Reasons Why We switched from Python To Go

@tachyeonz : If you got the idea of this quote, then you probably tried or just looked around Go programming language. Which is I think easiest programming language that can fit in any kind of application development. Yes! you read that right, for me Go is easier to learn than even JavaScript.

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Your programming copilot

@tachyeonz : Your editor and web browser don’t know anything about each other, which is why you end up continuously switching between them. Kite bridges that gap, bringing an internet-connected programming experience right alongside your editor.

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Python for big data

@tachyeonz :

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How to get into the top 15 of a Kaggle competition using Python

@tachyeonz : Kaggle competitions are a fantastic way to learn data science and build your portfolio. I personally used Kaggle to learn many data science concepts. I started out with Kaggle a few months after learning programming, and later won several competitions.

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