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PayPal too is moving away from Java and onto JavaScript and NodeJS for use in their web application platform. PayPal began using NodeJS as a prototyping platform and when it proved extremely proficient and they decided try it out in production.  PayPal’s first usage of NodeJS in production wasn’t a minor application; it was their account overview page which is one of the apps most trafficked features. As insurance, the PayPal team simultaneously developed the same “account overview” rebuild using Java and the results proved their hypothesis proved that the JavaScript team was able to build the product both faster and more efficiently. Since this transformation PayPal has since released an Open Source extension for ExpressJS called KrakenJS which can add an extra layer of security and scalability to your NodeJS Server.

Anthony Delgado (born February 6, 1986) is an American software developer and internet entrepreneur widely known as a professional hacker in the developer community. Anthony Delgado has won numerous hackathons sponsored by Fortune 500 tech companies like Google, IBM, Intel, Facebook and Microsoft and hosted by organizations including Rutgers University, the New Jersey Institute of Technology, the AT&T Developer Summit in New York City.

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Puerto Rico Coding Bootcamp

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Learning to code can be tough under any circumstances. But living in a major city with pollution, stress, cars honking and tons of distractions from friends and family members can make matters even worth. That is why we created the Puerto Rico Coding Bootcamp. During a recent interview with the New Theory Podcast I spoke about how we combine an education and a vacation to create a special augmented learning experience. It is a mixed between a study abroad program and a corporate retreat where you learn new skills like cryptocurrency, virtual reality, react js, mongodb, artificial intelligence and a whole lot more. We want you to learn to code in paradise. To learn more about the Puerto Rico Coding Bootcamp goto http://caribbean.institute/

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Free Ivy League College Classes you can take from home

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Are you considering attending an Ivy League institution to learn to code? While many Ivy League institutions offer some fantastic technology education, they also have a highly scrupulous admissions process and can be some of the most expensive colleges in the country. Luckily, with the advent of the internet, these universities now offer many of there programs for free via online courses and alternative education websites.

No longer is there a need to be jealous if you are inquisitive about what takes place behind closed doors are top tech schools.

Here are 28 Ivy League courses you can take online right now for free, all from the comfort of your own home!

Enjoy and happy hacking!

Introduction to Computer Science

Harvard University via edX

★★★★★ (52 ratings)

Algorithms, Part I

Princeton University via Coursera

★★★★☆ (48 ratings)

Machine Learning

Georgia Institute of Technology via Udacity

★★★★★ (4 ratings)

Analysis of Algorithms

Princeton University via Coursera

★★★★★ (4 ratings)

Bitcoin and Cryptocurrency Technologies

Princeton University via Coursera

★★★★☆ (10 ratings)

Introduction to Spreadsheets and Models

University of Pennsylvania via Coursera

★★★★★ (3 ratings)

Computer Architecture

Princeton University via Coursera

★★★★★ (4 ratings)

Machine Learning

Brown University via Udacity

★★★★★ (1 rating)

Networks Illustrated: Principles without Calculus

Princeton University via Coursera

★★★★☆ (3 ratings)

Software Defined Networking

Princeton University via Coursera

★★★★☆ (5 ratings)

Machine Learning 1 — Supervised Learning

Brown University via Udacity

★★★★☆ (1 rating)

Machine Learning: Unsupervised Learning

Brown University via Udacity

★★★★☆ (1 rating)

Introduction to Bioconductor: Annotation and Analysis of Genomes and Genomic Assays

Harvard University via edX

★★★★☆ (1 rating)

Statistics and R

Harvard University via edX

★★★★☆ (13 ratings)

Networks: Friends, Money, and Bytes

Princeton University via Coursera

★★★☆☆ (1 rating)

The Computing Technology Inside Your Smartphone

Cornell University via edX

★★★★★ (2 ratings)

Using Python for Research

Harvard University via edX

Case Studies in Functional Genomics

Harvard University via edX

★★★☆☆ (1 rating)

Machine Learning for Data Science and Analytics

Columbia University via edX

★★★☆☆ (15 ratings)

Reinforcement Learning

Brown University via Udacity

★★☆☆☆ (6 ratings)

Enabling Technologies for Data Science and Analytics: The Internet of Things

Columbia University via edX

★☆☆☆☆ (5 ratings)

Statistical Thinking for Data Science and Analytics

Columbia University via edX

★★☆☆☆ (13 ratings)

Artificial Intelligence (AI)

Columbia University via edX

★☆☆☆☆ (1 rating)

Machine Learning

Columbia University via edX

Big Data in Education

Columbia University via edX

High-performance Computing for Reproducible Genomics

Harvard University via edX

AP® Computer Science Principles

Harvard University via edX

Animation and CGI Motion

Columbia University via edX

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How Microsoft fell in love with Javascript

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Even Microsoft has embraced NodeJS, offering direct integrations into their Azure Platform, releasing a wealth of tutorials targeted at Node and they have even announced plans to fork the project and build their own version of Node powered by their Edge Javascript engine instead of Chrome’s V8. Node.js + Microsoft?! Yep, you heard us right. In this session, you’ll learn why Node.js is so exciting, why Microsoft cares, and – more importantly – what’s in it for you. Additionally, we’ll touch on many of Microsoft’s Node.js offerings and contributions, paying special attention to some of the exciting new developments in both Visual Studio and Visual Studio Code, as well as glimpse into the future with Node Chakra’s time-travel debugging.

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