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Python for Data Science: 8 Concepts You May Have Forgotten

Mastering the little things in Python, NumPy, and PandasSource: UnsplashThe ProblemIf you’ve ever found yourself looking up the same question, …

Python Programming

roundup | AI powers cars, photos, phones, and people

(credit: BDD Industry Consortium)Huge self-driving-car video dataset may help reduce accidentsBerkeley Deep Drive, the largest-ever self-driving car …

ActiveState Code Recipes

Welcome to the ActiveState code recipes repo! We have migrated all of the great content from code.activestate.com to its new forever-home here at …

Command Line Tricks For Data Scientists

For many data scientists, data manipulation begins and ends with Pandas or the Tidyverse. In theory, there is nothing wrong with this notion. It is, …

Traffic counts - Transport statistics

Traffic - Annual volume of traffic<p>Traffic figures give the total volume of traffic on the stretch of road for the whole year, and are calculated by …

Open Transport Map

<b>The Open Transport Map displays a road network which</b> <br>– is suitable for routing – <br>– visualizes average daily Traffic Volumes for the whole EU – <br>– …

What The Weather Can Teach Us About Open Data | Articles | Chief Data Officer

Ken Mylne is the Head of Weather Science Numerical Modelling at the Met Office, the United Kingdom’s national weather service. Naturally, these …

Liberty Mutual crunches hidden data to create your Total Home Score

If you’re checking out a home to buy, you could easily miss key information, like how close it is to major arterial traffic or whether a street is really as quiet as the realtor claims. That’s why Liberty Mutual Insurance is unveiling two data-driven tools that help consumers find the right home …

Get started with deep learning using the AWS Deep Learning AMIs | AWS

Launch an AWS Deep Learning AMI<p>with Amazon EC2<p>In this step-by-step tutorial, you'll learn how to launch an AWS Deep Learning AMI. The AMIs are …

PCA using Python (scikit-learn, pandas)

To understand the value of using PCA for data visualization, the first part of this tutorial post goes over a basic visualization of the IRIS dataset …

Data Science Cardio 1 - Weather

I'm going to shamelessly borrow the idea of programming cardio from Wes Bos's JavaScript30 course. I thought you folks might like it if I present a …

Python Programming

Machine Learning with Python: Easy and robust method to fit nonlinear data

Easy and robust methodology for nonlinear data modeling using Python libraries, pipeline features, and regularization.

You don't have to learn everything

I read Abisekh's post on not knowing what to study next while trying to learn programming and data science.<p>I really felt for him. He's obviously …

Trump White House quietly issues report vindicating Obama regulations

It was easy to miss, but OMB demolishes the GOP’s deregulatory claims.<p>President Donald Trump’s administration has been on a deregulatory bender, particularly when it comes to environmental regulations. As of January, the New York Times counted 67 environmental rules on the chopping block under …

Regulation

Why You Need Python Environments and How to Manage Them with Conda

Why you need Python environments and how to manage them with CondaThis is how a perfect Python environment looks like ;)I have over two decades of …

101 NumPy Exercises for Data Analysis (Python)

<i>The goal of the numpy exercises is to serve as a reference as well as to get you to apply numpy beyond the basics. The questions are of 4 levels of</i> …

8 World-Class Software Companies That Use Python

There are over 500 current programming languages, with more being written every day. Admittedly, the majority of these overlap and a large number …

Jupyter Notebook Tricks for Data Science that Enhance your efficiency

As I am taking the great fast.ai course about deep learning, I learn a lot of neat things that can be applied to general software engineering. I am …

Google Colab Free GPU Tutorial

Now you can develop <b>deep learning</b> applications with Google Colaboratory -on the <b>free Tesla K80 GPU</b>- using Keras, Tensorflow and PyTorch.<p>Hello! I will …

Updating A Plugin From QGIS 2 to QGIS 3

I have two plugins in the QGIS plugin repository, and with the release of QGIS 3 looming it was time to upgrade them for QGIS 3.<p>There is a short …

Simplifying Offline Python Deployments With Docker

In cases when a production server does not have access to the Internet or to the internal network, you will need to bundle up the Python dependencies …

Research shows Clean Air Act is likely responsible for dramatic decline in atmospheric organic aerosol

The air we breathe contains particulate matter from a range of natural and human-related sources. Particulate matter is responsible for thousands of …

Using Docker Compose for Python Development

Docker is an amazing tool for developers. It allows us to build and replicate images on any host, removing the inconsistencies of dev environments …

Polluted air, health problems brought by Southern California fires are expected to linger

A week of major wind-whipped fires across Southern California has caused significant air pollution and health problems.<p>The air quality is worst in and around fires burning from Ventura County to San Diego County, but the smoke has traveled to places not threatened by the flames. And with the Santa …

California

Statistics and Hacking: An Introduction to Hypothesis Testing

In the early 20th century, Guinness breweries in Dublin had a policy of hiring the best graduates from Oxford and Cambridge to improve their …

Using pandas with large data

<i>Tips for reducing memory usage by up to 90%</i>When working using pandas with small data (under 100 megabytes), performance is rarely a problem. When we …

Data Science

Using Machine Learning to Predict the Weather: Part 1

Part 1: Collecting Data From Weather Underground<p>This is the first article of a multi-part series on using Python and Machine Learning to build models …