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shekhargulati / 52-technologies-in-2016

  • вторник, 26 апреля 2016 г. в 03:13:41
https://github.com/shekhargulati/52-technologies-in-2016

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Let's learn a new technology every week. A new technology blog every Sunday in 2016.



52 technologies in 2016 GitHub Stats

I have taken a challenge to learn a new technology every week in 2016. The goal is to learn a new technology, build a simple application using it, and blog about it.

Contributing to the 52 technologies in 2016 series

Please contribute if you see an error or something that could be better! Raise an issue or send me a pull request to improve. Contributions of all kinds, including corrections, additions, improvements, and translations, are welcome!

Technologies covered in 52 technologies in 2016 series

Below is the list of technologies covered in this series:

  1. Week 1: January 03, 2016 Finatra - Build Beautiful REST API The Twitter Way. In this tutorial, we will learn how to write Scala REST APIs using Twitter's open source framework Finatra. We will build an application from scratch covering all the steps required to build the application.

  2. Week 2: January 10, 2016 SBT: The Missing Tutorial. In this tutorial, we will learn sbt build tool. sbt is a general purpose build tool written in Scala. It is best suited for Scala application development.

  3. Week 3: January 17, 2016 Sentiment Analysis in Scala with Stanford CoreNLP. In this tutorial, we will learn how to use Stanford CoreNLP library for performing sentiment analysis of unstructured text in Scala.

  4. Week 4: January 24, 2016 Slick: Functional Relational Mapping for Mere Mortals Part 1. In this tutorial, we will learn how to get started with Slick so that we can interact with relational databases in our Scala applications. Slick is a powerful Scala library to work with relational databases.

  5. Week 5: January 31, 2016 Slick: Functional Relational Mapping for Mere Mortals Part 2: Querying Data. In this tutorial, we will learn how to perform select queries with Slick. Slick allows you to work with database tables in the same way as you work with Scala collections. This means that you can use methods like map, filter, sort, etc. to process data in your table.

  6. Week 6: February 07, 2016 Building A Lightweight REST API Client with Scala and OkHttp. In this tutorial, we will learn how to build REST API client for Medium's REST API using Scala and OkHttp. OkHttp is an open source Java HTTP client library focussed on efficiency.

  7. Week 7: February 14, 2016 Hugo: A Modern WebSite Engine That Just Works. In this tutorial, we will learn how to build a static website using Hugo. Hugo is a static site generator written in Go programming language.

  8. Week 8: February 21, 2016 CoreOS for Application Developers. The goal of this tutorial is to help application developers understand why they should care about CoreOS and show them how to work with CoreOS cluster running on top of Amazon EC2. CoreOS is an Open source Linux distribution built to run and manage highly scalable and fault tolerant systems.

  9. Week 9: February 28, 2016 Realtime People Counter with Google's Cloud Vision API and RxJava. Google recently released Cloud Vision API that enables developers to incorporate image recognition in their applications. Image Recognition allow developers to build applications that can understand content of images. In this tutorial, we will learn how to build a realtime people counter.

  10. Week 10: March 06, 2016 Gatling: The Ultimate Load Testing Tools for Programmers. Gatling is a high performance open source load testing tool built on top of Scala, Netty, and Akka. It is a next generation, modern load testing tools very different from existing tools like Apache JMeter. In this tutorial, you will learn how to write load tests using Gatling.

  11. Week 11: March 13, 2016

    • Tweet Deduplication: This week I decided to write a tweet deduplication library. The library will give you a stream of deduplicated tweets.
    • TextBlob. TextBlob is an open source text processing library written in Python. It can be used to perform various natural language processing tasks such as part-of-speech tagging, noun-phrase extraction, sentiment analysis, text translation, and many more.

  12. Week 12: March 20, 2016 Play Framework. Play framework is a MVC style web application framework for JVM. It provides API for both Java and Scala programming languages. I am maintaining this tutorial in a separate Github repository.

  13. Week 13: March 27, 2016 ArangoDB: Polyglot Persistence Without Cost. ArangoDB is an open source NoSQL database that provides flexible data model. You can use ArangoDB to model data using combination of document, graph, and key value data modeling styles.

  14. Week 14: April 03, 2016 Apache Kafka. I have not yet written this article.

  15. Week 15: April 10, 2016 Airline Bot Platform with Huginn. This week I decided to build a bot platform using Huginn that can perform a lot of tasks for which we normally use mobile apps. Our goal was to show them that they should think beyond mobile apps and look into the world of bots as bots can be less intrusive, more secure, and does not require installation. Apps are dead, long live bots.

  16. Week 16: April 17, 2016 Building Your "Read It Later" App using Python and Newspaper Library.In this tutorial, you will learn how we can use a Python library newspaper to perform article extraction and build a simple "Read It Later" application.

You can follow me on twitter at https://twitter.com/shekhargulati or email me at shekhargulati84@gmail.com. Also, you can read my blogs at http://shekhargulati.com/

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