Webinar|Jan 28, 2019

Master Python’s Async Features

Python’s async and parallel programming support is highly underrated. In this webcast, we will introduce the entire spectrum of Python’s parallel APIs. Then we will focus in on the most promising, most useful, and modern feature of Python’s async capabilities: the async and await keywords. During the webcast, we will build a small application that…
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Docker + Python
Blogs|Dec 20, 2017

Containerize a Python App in 5 Minutes

Python for better or worse has found cemented itself as the lingua franca of data science. With its rise in popularity also comes how it is deployed. Simultaneously with the rise in Python has also been the rise in container deployments. Like Python, containers are being used in data science as well to run processes…
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Blogs|Nov 28, 2017

Creating Web Apps for Your Machine Learning Models with Dash

In the last post, we created APIs for our machine learning models so they could be deployed and clients could invoke them. However, what if you just wanted a simple web page that included interactive and attractive graphs? That’s where Dash comes to the rescue. Dash is similar to Shiny, a framework to build interactive…
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How To|Oct 11, 2017

Learn Python Using 5 of the Best Features Webinar

Learn Python Using the 5 Best Language Features In this Wintellect webinar presented by Michael kennedy, host of the TalkPython and PythonBytes podcasts, you will learn Python using 5 of the best features. Michael provided a live coding session showing Python examples for: Python lightning refresher Tuple assignment and unpacking Dictionaries for performance Generators Leverage inline methods…
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Blogs|Sep 12, 2017

Visualizing Sales Data in Python with Matplotlib

In our last post we interpreted a data set with pandas to gain some insights from it. In this post, we will do the same, but instead of interpreting the raw data we will use visualizations to help us determine patterns in the data. But before we dive into the implementation, let’s review the benefits…
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Blogs|Aug 28, 2017

Using Pandas to Analyze Sales Data

Now that we know how the data science process works, let’s leverage some of it and try to find insights into some data. We’ll be using pandas, a popular data analysis package for Python, to load and work with our data. Feel free to follow along by downloading the Jupyter notebook. If you went through…
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Tutorials|Jun 12, 2017

Data Science with Python in Visual Studio

Yep, you read that right. Visual Studio isn’t the first thing you think of when you hear “data science”, but that may just change soon. In Visual Studio 2017 they have included several tools together where you can do Python, R, and F# data projects for analysis and visualizations. In this post we’ll go over how…
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news|Mar 28, 2017

Rust, Python, Go Among Most Valued Languages in Developer Survey

Stack Overflow has released results of its 2017 Developer Survey, and they paint an interesting picture of the languages developers love and abhor. Developers are crushing on Mozilla’s Rust, which earned top honors as the most-loved programming language among the 64,000 coders worldwide who answered the annual survey by Stack Overflow, a social network and…
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