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7 Python Data Science Influencers to Follow

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datacamp.com

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team@datacamp.com

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Tue, Dec 5, 2017 03:32 PM

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We’re back on our normal Tuesday schedule. And this week we have the usual collection of R & Py

We’re back on our normal Tuesday schedule. And this week we have the usual collection of R & Python news and resources. [DataCamp]( DataCamp Weekly Issue #26 ― December 5, 2017 Hello DataCamp Weekly readers. We’re back on our normal Tuesday schedule. And this week we have the usual collection of R & Python news and resources. Starting off with the recently released Tidyverse cheat sheet, followed by a list of 7 python data science influencers to follow, a tidytext analysis of the Weinstein effect, exploring recurrent neural networks and more. Enjoy! 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 [Tidyverse Cheat Sheet For Beginners]( Our latest cheat sheet is here! This time covering the basics of the tidyverse, and 2 of its core packages: dplyr and ggplot2. [datacamp.com]( [TalkPython podcast: Paths into a data science career]( DataCamp’s Hugo Bowne-Anderson sits down with Michael Kennedy of TalkPython to discuss paths into a data science career. Great chat and great podcast for Python lovers! On a sidenote, Hugo will be releasing his own podcast series very shortly, stay tuned for that! [talkpython.fm]( [7 Python Data Science Influencers to Follow]( Whether you’re just getting started with Python, or are an advanced user, following and seeing what influencers have to say can be super helpful and inspiring. Here are 7 Python data science influencers worth checking out! [blog.modeanalytics.com]( In the News [A Tidytext Analysis of the Weinstein Effect]( Fascinating text analysis of the ripple effects of the Weinstein scandal. Using the NY Times and Guardian APIs, this tidytext analysis gives great insight into the change in frequency of words in the media after the scandal broke out. [gokhanciflikli.com]( [Three Common Mistakes With Company-level Dashboards]( The head of marketing analytics at Instagram, Chris Dowsett, lays out three common mistakes with company-level dashboards. These dashboards hold some crucial company information in the form of KPIs. Some very interesting thought worth reading! [towardsdatascience.com]( [Exploring Recurrent Neural Networks]( This tutorial in Python with code samples is a good introduction to Recurrent Neural Networks (RNN). A quick read worth your time. [kdnuggets.com]( [52 Machine Learning and AI Conferences]( A list of 52 Machine Learning and AI conferences around the world for 2017 & 2018. Some great people to meet and network with at these events. [northconcepts.com]( Elsewhere • [Introducing Amazon SageMaker]( • [An Interactive Tutorial on Numerical Optimization]( • [Deepmind: Population-based training of neural networks]( Jobs • [Senior Data Analyst, Agoda, Bangkok]( • [Data Analyst, Walt Disney Company, New York]( That's all for now. Have a great week! [DataCamp] [DataCamp]( DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118 [Facebook] [Facebook]( [Twitter] [Twitter]( [LinkedIn] [LinkedIn]( [YouTube] [YouTube]( [Unsubscribe](

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