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Articole: 20
  1. Not everything is AI or Agents

    The boring stuff is the point Everyone's prophesying the downfall of SaaS.

  2. Reverse engineering now and then

    When I was a teenager in the 90s, a friend of mine had a side-gig making cracks and key-generators for games and software.

  3. Good software knows when to stop

    it’s 9AM, you’re ready to upgrade your favorite Linux distribution and packages to their latest versions, the process goes smoothly and after a reboot your machine is now up-to-date.

  4. For a new golden age of FOSS

    The generative AI trend is arguably one of the biggest paradigm shifts of the last decades for the tech industry —even though the field has seen its share of upheaval recently: the disappearance of OOP as the default mental model, the rise of distributed…

  5. Object oriented programming deemed irrelevant

    I've been coding since 2006, during this time I've seen multiple trends & technologies emerge, rise and fall - nowadays the elephant in the room is the bad press around OOP languages the likes of Java, C#, C++.

  6. From Pandas to Apache Spark's Dataframe

    With the introduction in Spark 1.4 of Window operations, you can finally port pretty much any relevant piece of Pandas' Dataframe computation to Apache Spark parallel computation framework using Spark SQL's Dataframe.

  7. RDDs are the new bytecode of Apache Spark

    With the Apache Spark 1.3 release the Dataframe API for Spark SQL got introduced, for those of you who missed the big announcements, I'd recommend to read the article : Introducing Dataframes in Spark for Large Scale Data Science from the Databricks blog.

  8. Apache Spark's default serialization relies on Java with the default readObject(...) and writeObject(...) methods for all Serializableclasses.

  9. Try Apache Spark's shell using Docker

    Ever wanted to try out Apache Spark without actually having to install anything ?

  10. Many of the concepts of Apache Spark are pretty straightforward and easy to understand, however some lucky few can be badly misunderstood.

  11. Apache Spark : l'importance du broadcast

    Apache Spark est un moteur de calcul distribué visant à remplacer et fournir des APIs de plus haut niveau pour résoudre simplement des problèmes où Hadoop montre ses limitations et sa complexité.

  12. Dagger and Play 2 Java

    I recently got the occasion of trying out Play 2 in Java and i must say the Play 2 Framwork looks actually really good in Java too.

  13. After a few hours of searching through the Play 2 documentation, the play-framework google group and other blogs or sources, i finally found this piece of code that i decided to share with you.

  14. Timeoff 2014 @ Lateral Thoughts

    Une fois n'est pas coutume, je commencerais cet article avec une photo de notre dernier Timeoff LT. !

  15. Highlighting field in memory-based Lucene indexes

    I'm using more and more Lucene these days, and getting in depth on a few subjects, today i'm going to talk to you about how to handle the new Highlighting features available with Lucene 4.1.

  16. I've began to work more and more with the great "low-level" library Apache Lucene created by Doug Cutting.

  17. !

  18. Elasticsearch is the way

    Don't get me wrong, i love Apache Solr, i think it's a wonderful project and the versions 4.x are definitely something you should check out when building a proper search engine.

  19. Reste à ta place et fais ce qu'on te dit.

    Je ne suis pas le plus aguerri des vétérans, et je m'en rend compte encore assez souvent pour savoir que j'ai encore des sempaïsdans plus d'un domaine (pas que technique) dont certains avec qui j'ai la chance de travailler, même si ce n'est pas tout le te…

  20. Sharing PyPi/Maven dependency data

    As time is always running out, i don't think i'll have the time in a while to work again on the data I collected for the last three articles, Going offline with Maven, State of the Maven/Java dependency graph and State of the PyPi/Python dependency graph.