The last week wasn’t rich in global programming events. So I have no any comments and tweets regarding fresh tech-talks. But as always I have a bunch of developers tweets about everything, starting from a philosophy and finishing with a big data. So let’s start the #GeekListener digest!
Our first functional programming lover… khe-khe I mean participant is Michael O. Church!
After this tweet, I understand that we can open the first World Java Trolling Championship! The aim of this sport is to laugh at Java developers. Now only lazy don’t joke about Java. Emmm… And probably PHP… So I’m in! Java developers don’t clean up after a party, because a garbage collector does it instead.
It’s time for a motivation from Mariusz Gil!
It’s hard to be 100% better than yesterday. But what about 1%? Write some code, read one blog post, watch talk on YouTube, simple #beBetter
— Mariusz Gil (@mariuszgil) November 25, 2015
Mariusz knows what he says! I agree! It’s hard to be 100% better each next day. So read blogs, watch YouTube! But watch out the manager, because that asshole will fire you instantly after he understood that you waste a working time.
The next is a big data tweet by Russ Miles!
Big Data and an appreciation of Data Science in a company often starts with a simple question: "What do you want to know and why?"
— Russ Miles (@russmiles) November 26, 2015
Russ probably describes an utopian case, because in my world a Big Data and a Data Science always start at companies after CEO’s words:
– OUR CUSTOMER READY TO PAY FOR THE ELEPHANT!!!
– Do you mean Hadoop?
– WHO FUCKING CARES?! WE NEED MORE ELEPHANT DEVELOPERS!
Jacek Laskowski continues be a leader in a Spark education!
I knew it's gonna take me long to understand #ApacheSpark fully, but I've got so much more to learn about this seemingly simple platform
— Jacek Laskowski @email@example.com (@jaceklaskowski) November 26, 2015
Jacek, I don’t know how many Spark stuff you have learned for the last year, but you definitely have committed more then anybody else in the Spark education. Who don’t know what I’m talking about, I recommend to read Jacek’s book about Spark.
So for me Jacek isn’t a Java Champion, he is SparkScalaAddictedGeek =)
What do you know about a hate?
— COBRA 🐍 (@C0BR4cH) November 27, 2015
Matthias Hurni gives to us his explanation about a HATE. I suppose the screenshot is made in a project in which Matthias is involved, so we have all chances to see a funny “punch in a face” video loop on Vine by Matthias.
And again about Java…
As a Java Developer, please, tell me that syntax (Lambda expressions) doesn't scare you a little.
— @263CodeNinja (@263CodeGuy) November 27, 2015
As a Java developer, I say: “I don’t scare a lambda expression syntax”. But from time to time, I really afraid of Java developers, who try to use lambdas in each line of code.
Infographics in #GeekListener!
In-demand programming languages:
— Vala Afshar (@ValaAfshar) November 29, 2015
Vala, are you kidding me? SQL? Really? I don’t know how people still think that SQL is a programming language. Even if you encrypt SQL acronym you see Structured Query Language, NOT PROGRAMMING! In the next rating I’m waiting to see HTML and CSS programming languages.
One of the most active Tweeter users:
Seriously getting annoyed by online tech magazines clickbaiting with totally absurd, exaggerated headlines… It really got unbearable… #sigh
— Oliver Drotbohm 🥁 & 👨💻 (@odrotbohm) December 1, 2015
I don’t understand the idea of online magazines too. It’s very weird to continue publish information in the offline magazine form, in the age of internet! If you don’t know what I’m talking about, read one of online Java Magazines. Just look at Medium, WordPress, Blogger etc. There you can organise a content much more efficiently!
Good practice by Yegor Bugayenko:
— Yegor Bugayenko (@yegor256) December 2, 2015
Well, Yegor, util classes can’t be proper objects, because they are classes. But I like the idea you have described in the article. And I’m going to use this pattern in my code.
Wrong thoughts about a big data:
Big data is only a huge amount of shit, until some data mining algorithm isn’t applied to it. And only then we can say that a Big Data gives us a DATA. So be correct in you definitions.
Do you want to join the #GeekListener digest? Then retweet cool tweets with the hash code #GeekListener! Comment, share and stay in touch!
|Reference:||#GeekListener v.5 from our JCG partner Alexey Zvolinskiy at the Fruzenshtein’s notes blog.|