In my first few days as a freshman, I met a classmate who claimed that he could code in any programming language I could name. Astonished…
In 2017, learn *every* language
A weekly newsletter about the latest developments in Deep Learning
Deep learning 2016 the year in review
EveryPolitician: Open dataset on politicians – http://everypolitician.org/
Data about every national legislature in the world, freely available for you to use.
EveryPolitician: Political data for 233 countries
A Look Ahead: Seven Trends Shaping Genomics in 2017 and Beyond | GEN Genetic Engineering & Biotechnology News – Biotech from Bench to Business | GEN
High-level programming languages may win most popularity contests, but the venerable C language isn’t going away.
Source: The Resurgence of C Programming
Eight ways labs benefit from the popular workplace messaging tool.
How scientists use Slack
Deep learning is a fast-changing field at the intersection of computer science and mathematics. It is a relatively new branch of a wider field called machine learning.
A Guide to Deep Learning by YerevaNN
With promises of unprecedented levels of data ownership, one genetic testing company is betting on the power of the patient to find tomorrow’s cures.
Genos Will Sequence Your Genes—And Help You Sell Them to Science
Last year, we did a recap with what we thought were the best Python libraries of 2015, which was widely shared within the Python community (see post in r/Python). A year has gone by, and again it is time to give due credit for the awesome work that has been done by the open source community this year.
Again, we try to avoid most established choices such as Django, Flask, etc.
Top 10 Python libraries of 2016 – Tryolabs Blog