#Moody tweets
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In Jan's exciting, invigorating, Broadway-style live-coding session, we will build a Tweet mood analysis application. Jan will show how to use spray-client with the new Akka I/O to download the tweets. The application will then store the tweets in Cassandra and then attempt to perform simple mood analysis.
In Jan's exciting, invigorating, Broadway-style live-coding session, we will build a Tweet mood analysis application. Jan will show how to use spray-client with the new Akka I/O to download the tweets. The application will then store the tweets in Cassandra and then attempt to perform simple mood analysis. Discover whether people are indeed happy about #Scala tweets and miserable about #Java8 tweets.
To make the most of the session, you will need to have basic understanding of Scala and conceptual understanding of Akka; you do not need to worry about Cassandra nor Spray. Everyone is welcome, though novices may find the pace too fast to follow.
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- µCon London 2020 - The Conference on Microservices, DDD & Software Architecture (in London on 27th - 29th May 2020)
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- Lightbend Scala Language - Professional (in London on 9th - 10th September 2019)
- Lightbend Scala Language - Expert (in London on 11th - 13th September 2019)
- Scala eXchange London 2019 (in London on 12th - 13th December 2019)
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- The Last Frontier and Beyond (SkillsCast recorded in August 2019)
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Thanks to our sponsors
#Moody tweets
Jan Machacek
Jan Machacek is a passionate technologist with hands-on experience of the practical aspects of software delivery (architecture, quality, CI, CD), the project management approaches (applying the principles of agile project management), and mentoring and motivating engineering & business teams.
Please log in to watch this conference skillscast.
In Jan's exciting, invigorating, Broadway-style live-coding session, we will build a Tweet mood analysis application. Jan will show how to use spray-client with the new Akka I/O to download the tweets. The application will then store the tweets in Cassandra and then attempt to perform simple mood analysis.
In Jan's exciting, invigorating, Broadway-style live-coding session, we will build a Tweet mood analysis application. Jan will show how to use spray-client with the new Akka I/O to download the tweets. The application will then store the tweets in Cassandra and then attempt to perform simple mood analysis. Discover whether people are indeed happy about #Scala tweets and miserable about #Java8 tweets.
To make the most of the session, you will need to have basic understanding of Scala and conceptual understanding of Akka; you do not need to worry about Cassandra nor Spray. Everyone is welcome, though novices may find the pace too fast to follow.
YOU MAY ALSO LIKE:
- Production Reactive Systems in Scala with Jan Machacek! (SkillsCast recorded in April 2017)
- Introduction to Docker Fundamentals (in London on 30th September - 1st October 2019)
- µCon London 2020 - The Conference on Microservices, DDD & Software Architecture (in London on 27th - 29th May 2020)
- Converting Architectural Requirements into Code using CloudFormation (in London on 18th September 2019)
- Lightbend Scala Language - Professional (in London on 9th - 10th September 2019)
- Lightbend Scala Language - Expert (in London on 11th - 13th September 2019)
- Scala eXchange London 2019 (in London on 12th - 13th December 2019)
- Scalax2gether Community Day 2019 (in London on 14th December 2019)
- London Java Community August Meetup (in London on 28th August 2019)
- London Java Community August (in London on 28th August 2019)
- The Last Frontier and Beyond (SkillsCast recorded in August 2019)
- Why API Design Matters, and Why Yours Sucks! (and mine sucks too!) (SkillsCast recorded in June 2019)
Thanks to our sponsors
#Moody tweets
Jan Machacek
Jan Machacek is a passionate technologist with hands-on experience of the practical aspects of software delivery (architecture, quality, CI, CD), the project management approaches (applying the principles of agile project management), and mentoring and motivating engineering & business teams.