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Why is Python growing so quickly?

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datacamp.com

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team@datacamp.com

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Tue, Sep 19, 2017 02:58 PM

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Preparing for a Data Science interview, history of Infographics, How not to plot a hurricane predict

Preparing for a Data Science interview, history of Infographics, How not to plot a hurricane prediction [DataCamp]( DataCamp Weekly Issue #15 ― September 19, 2017 Hi, big news this week: we’re proud to announce that we’ve partnered with Springboard to help you get a data science job! More on that below. We’re also announcing an easy way for you to keep track of our upcoming courses: [DataCamp Courses Roadmap](. Make sure to check back in regularly to see what courses we are currently working on. In this week’s edition we’re covering data visualization history, hurricane predictions, winning hiking trophies using data science, and preparing you for your data science interviews. Looking to share your content with us? Drop us a note on [Slack]( or [Twitter!]( Like what you’re seeing? Forward to a friend! Received this email from a friend? [Sign up]( for a DataCamp account to to receive a dose of data science every Tuesday. --------------------------------------------------------------- Projects & Resources [How not to plot a hurricane prediction]( Visualizations help us make sense of the world by conveying large amounts of complex information. With the recent hurricanes hitting North America and the Caribbean, DataCamp’s Hugo decided to write a guide on why (not) to use spaghetti plots to convey the uncertainty of hurricanes' predicted paths and their impact on interpretation. [datacamp.com]( [Intro to Graph Optimization with NetworkX in Python]( Our guest author this week is Andrew Brooks, an avid hiker and data scientist at Capital One. The Chinese Postman Problem consists of finding the shortest path that covers all the links (roads) on a graph at least once. This tutorial covers a real-life application of this: attaining the rank of Giantmaster Marathoner. [datacamp.com]( [7 Alternatives to Word Clouds for Visualizing Long Lists of Data]( While Word Clouds are a popular choice to create meaningful data visualizations from long lists of data, they are not always the best options. Here are 7 alternatives to Word Clouds with pros and cons. [displayr.com]( [The Next Wave: Predicting the future of coffee in NYC]( This interesting walkthrough does a great job at describing the thinking behind solving a data science problem. In this case, creating a model that accurately mimics the distribution of coffee shop locations across NYC, and using that to predict where the next ones will appear. Great read for coffee and data science aficionados. [medium.com]( In The News [DataCamp and Springboard Are Working Together To Get You a Data Science Job!]( We’re joining forces to create the first mentor-led data science bootcamp to come with a job guarantee! We’re combining our expertise in interactive learning exercises, and Springboard’s human-centered approach to online learning to offer you a straight path towards a data science career. [datacamp.com]( [History of Infographics]( An interactive website to show you the history of the display of information starting in the year 1630 to 1904! Very fun to explore. [Infowetrust.com]( [Why is Python Growing So Quickly?]( It's been shown in recent months that Python is rapidly growing. Why? Stack Overflow data suggests that Data Science and academic use of Python are leading its growth. Great post by [David Robinson.]( [stackoverflow.blog]( [The Data Science Interview]( This website is dedicated to helping you train for your data science interview. With 1000+ real interview questions which you can tailor for the type of interview you are preparing for. [thedsinterview.com]( Elsewhere - [IBM pitched its Watson supercomputer as a revolution in cancer care. It’s nowhere close]( - [HR Analytics: Using Machine Learning To Predict Employee Turnover]( - [Scalable Machine Learning]( - [Trending topics on cable news: the newsflash package]( Jobs - [Data Scientist, Hiscox, London]( - [Senior Data Scientist at Boeing, Vancouver, BC]( - [Market Data Analyst at Bloomberg, Hong Kong]( --------------------------------------------------------------- Error Bar Madness [Error Bar Madness]( --------------------------------------------------------------- That's all for now. Have a great week! DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02140 [Unsubscribe](

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