5 Tips to Improve Your R Code

Fast track Apache Spark. Python Data Type Conversion. Dictionary Comprehension. Image Classification with Keras. [DataCamp]( DataCamp Weekly Issue #28 ― December 19, 2017 Good morning, DataCamp Weekly readers. This is the last full-length newsletter of this year. We’ll be sending a lighter version next week geared more towards looking back on 2017. However, this week we have some great content to share. Starting with two Python tutorials, an interview with François Chollet, 5 tips to improve your R code, fast-track Apache Spark and more. We’ve also released a blog post yesterday announcing the redesign of our learning interface, you can read more about that below. 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 [Python Data Type Conversion Tutorial]( In this Python tutorial, you'll tackle implicit and explicit data type conversion of primitive and non-primitive data structures with the help of code examples. Great tutorial! [datacamp.com]( [Python Dictionary Comprehension Tutorial]( Learn all about Python dictionary comprehension: how you can use it to create dictionaries, to replace (nested) for loops or lambda functions with map(), filter() and reduce() and more in this tutorial. [datacamp.com]( [Redesigning Our Learning Interface]( This post will take you through some of the new features we have added to make your data science learning experience better, and the rationale behind them. Including new editor themes, course progress bar, and more. Feel free to fill out the feedback form linked at the end of the article. [datacamp.com]( [Image Classification on Small Datasets with Keras]( This post is an excerpt from the book Deep Learning with R. This chapter touches on a common problem in the workplace: training an image-classification model using very little data. This post covers two techniques to classify images of dogs and cats using a dataset of only 4,000 pictures. [r-bloggers.com]( In the News [An interview with François Chollet]( DataCamp's Hugo Bowne-Anderson interviewed Keras creator and Google AI researcher François Chollet about his new book, 'Deep Learning with Python'. François also discusses his job, learning machine learning & AI today, Python, and much more. Great interview! [datacamp.com]( [Five Tips to Improve Your R Code]( Five useful tips that you can use to effectively improve your R code, from using seq() to create sequences to ditching which() and much more! [datacamp.com]( [Fast track Apache Spark]( This blog post presents 6 lessons learned to get a quick start on productivity so you can make an immediate impact in your organization with Spark. [datacamp.com]( [Meet the man behind the most important tool in data science]( Great piece digging into the history of Pandas and how it contributed to making Python one of the fastest growing programming languages. Wes McKinney, the person behind Pandas, has a real drive to improve data science tools. [qz.com]( Elsewhere • [A minimal Project Tree in R]( • [ML & AI: Main Developments in 2017 and Key Trends in 2018]( • [Designing An Analytics Stack Like We Design Software]( • [There’s No Such Thing As ‘Sound Science’]( Jobs • [Data Scientist: Ads & Markets Analytics Summer Internship, Spotify, New York]( • [Senior Data Analyst, Centrica, London]( • [R Shiny Dashboard Engineer, Castor, Amsterdam]( Electricity Consumption vs Global Bitcoin Electricity Consumption (Countries in orange use less electricity than worlwide Bitcoin mining) 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](