The Jupyter Notebook Cheat Sheet is here!

Netflix Ratings Data, 30 Essential Cheat Sheets, 10 Practical Tips for protecting your data, Fraud detection & more [DataCamp]( DataCamp Weekly Issue #16 ― September 26, 2017 It’s Tuesday! So here’s another collection of data science news, projects & resources. This week we’re exploring tropical storm data, Netflix user data, Data Science for Fraud protection, Probability & Statistics 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 [Jupyter Notebook Cheat Sheet]( The Jupyter Notebook Cheat Sheet is finally here! One of the great things Jupyter Notebooks is that they are super easy to get started with. It is one of the data scientist’s preferred development environments and allows for interactive and reproducible data analysis. [datacamp.com]( [Groupby, split-apply-combine and pandas]( Do Netflix subscribers prefer older or newer movies? This tutorial with code samples will show you how to find the answer using groupby, split-apply-combine, & pandas. [datacamp.com]( [Python Statistics and Probability Tutorial - Part 1]( This Python Statistics tutorial covers foundational topics in Probability that you can use in Poker. Combinations & permutations, dependent and independent events, expected value & more! Great foundational tutorial. [datacamp.com]( [30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets]( Looking for more Cheat Sheets? KDnuggets assembled 30 essential data science, ML & Deep Learning cheat sheets! [kdnuggets.com]( [Exploratory Data Analysis of Tropical Storms in R]( We’re back this week with some more topical coverage of data science. This time we’re focusing on historical data and EDA in this tutorial. [stoltzmaniac.com]( In The News [Cloud Computing and Architecture for Data Scientists]( Data Scientists of all levels should have a solid understanding of cloud computing & architecture. This article covers all you need to know to incorporate cloud computing into your workflow when working on real-world production solutions. [datacamp.com]( [Don't teach students the hard way first]( Interesting article on how to best teach programming. Teaching the hard way might be the most common way, but not the best. David Robinson argues for a different way to teach programming, one that doesn’t include a teacher’s own nostalgia. [varianceexplained.org]( [Data Security for Data Scientists]( 10 practical tips for protecting your data, and everyone else’s. Very useful tips that everyone should be aware of. Data security is everyone’s problem. Must read. [medium.com]( [Data Science for Fraud Detection]( Using data science for fraud detection. This is a fascinating article that digs deep into an interesting use case: detecting illegal behavior on a financial dataset. [codecentric.de]( Elsewhere - [Big Data Conference: Strata Data Conference]( - [Analysis of machine learning and AI patents granted in 2017]( - [Fabrik – A platform to build deep learning models online]( - [Data Quality in the era of A.I.]( Jobs - [Data Scientist, Edelweiss Business Services, Mumbai]( - [R Programmer & Statistician, Empiricus, Remote OK]( - [Data Scientist, Via, NYC]( --------------------------------------------------------------- Streams of the song 'Total Eclipse of the Heart' on Spotify the day of the eclipse [Streams of the song 'Total Eclipse of the Heart' on Spotify the day of the eclipse]( --------------------------------------------------------------- That's all for now. Have a great week! DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02140 [Unsubscribe](