Understanding Blockchains by Coding One

Live Coding, Python Tuples Tutorial, Curious AI Algorithms, Google Cloud for Data Science, and more!  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ [DataCamp]( DataCamp Weekly Issue #35 ― February 20, 2018 And we’re back! After launching the new [Community]( last week, the newsletter is back to its normal operation. Some slight changes are, however, in place this week. Please note that some of these links below will bring you to the Community, you just need to click ‘Read Full Post’ to get the full article. Also, the ‘In the News’ section features the 7 most popular posts of the past week based on your upvotes. Feel free to comment & discuss the articles in the comment section! We’ll be highlighting some of the best comments & contributions going forward. This week we have a lot of great content, including some tutorials, podcasts, articles & more. Check them out below. We’ll also be doing another Live Coding session on Facebook this week, [RSVP for the event here](. 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 [Understanding Blockchains by Coding One in R]( Implement a small blockchain in R and learn more about what a blockchain looks like and some of the core concepts behind it! The best way to understand what is happening under the hood is to build it yourself. [datacamp.com]( [Data Science, the Environment and MOOCs (with Roger Peng)]( Air pollution, the environment, and data science: where do these intersect? Find out in Ep. 10 of the DataFramed Podcast. [datacamp.com]( [Python Tuples Tutorial]( Learn about Python tuples: what they are, how to create them, when to use them, what operations you perform on them and various functions you should know. [datacamp.com]( [Live Coding: The Favorite Techniques of the Experts]( Join us this Thursday at 3pm ET for this live, interactive code along session to find out, and learn, the favorite techniques of DataFramed's first guests. See you there! [facebook.com]( [Active Learning: Curious AI Algorithms]( Discover active learning, a case of semi-supervised machine learning: from its definition and its benefits to applications and modern research. [datacamp.com]( [Google Cloud for Data Science: Beginner's Guide]( Learn to set up a data science environment on Google Cloud: create an instance on Google Compute Engine, install Anaconda and run Jupyter notebooks! [datacamp.com]( In the News [The 10 Statistical Techniques Data Scientists Need to Master]( The most popular post on Community News this past week. 10 statistical techniques data scientists need to master. Build up your toolbox of data science tools by having a look at this great overview post. Let us know your favorite one in the comments!! [datacamp.com]( [Duolingo-style Learning for Data Science]( Master data science on the go with DataCamp Mobile, a Duolingo-style app, which offers bite-sized lessons you can complete in 5 minutes or less! [datacamp.com]( [Imposter Syndrome in Data Science]( As a comment explained: “As a data science student (self-taught), I found the section about finding a job particularly helpful. I too have looked through job postings only to find that most of the time the company is looking for a person with a Ph.D. and at least 3 years of experience. Knowing that there's hope for getting around this really lifts my spirits and also gives me more motivation to pursue my own pet projects.” Join the conversation after reading this post! [datacamp.com]( [Data Science and Online Experiments at Etsy (with Emily Robinson)]( Discover how data science and online experiments impact business and decision making at Etsy in this DataFramed episode. [datacamp.com]( [What The US Army Can Teach You About Data Science]( A short article on how to apply some of the Army’s Information Management practices into Data Science. Great read. [datacamp.com]( [Is 10,000 Cells Big Data?]( This article compares several R and Python frameworks in trying to process a very wide (but small) data.frame. The article includes timings and commentary. [datacamp.com]( [Explain R environments like I’m five]( “Can you explain to me what are environments in R?” The beginning of a series of blog posts about R concepts, where the author explains it to his daughter. [datacamp.com]( Elsewhere • [Text Mining With R Free Online Ebook]( • [Present Your Data Science Projects with Jupyter Slides!]( • [How to write a production-level code in Data Science?]( Jobs • [Sr. Analyst, Data Science, Evolent Health, Arlington, VA]( • [Data Scientist & R Programmer, Cambridge, MA]( • [19+ Open Positions at DataCamp!]( 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](