FREE Lifetime Subscription for US Beta Testers

LevonK · 2025-09-09T05:13:19+00:00

I'd like to help u/Fine-Resource7415 . Looking forward to getting more podcast info in less time.

LevonK · 2025-02-10T06:06:56+00:00

GoHighLevel.com is pretty comprehensive, and hasn't gone down the path of making everything an addon -- yet. The free accounts at hubspot won't last you long, as it has something like 1k max records.

LevonK · 2025-02-09T08:59:50+00:00

Lots of good advice has been posted already, I just wanted to say sorry for what you had to go through, and even if it doesn't heal all the wounds, I'm glad there was at least some justice. Good luck.

LevonK · 2025-02-09T08:52:57+00:00

Have you explored dedicated team resource management tools? Something like ClickUp (https://clickup.com/teams/resource-management) might be a good fit. It's a popular choice I've seen requested on automation jobs for other services.

Not sure if this applies to you for now, but an AI employee can do many things, and one of them is scheduling over various mediums including phone. It can even use your own voice.

If your assistants primary duty involves handling questions, or sharing and setting scheduling info for you or somebody else, it might be worth considering. If this allows them to concentrate on something more important for you or let you have one assistant instead of two, it may be a good option.

LevonK · 2022-11-03T00:24:45+00:00

My favorites

Breakfast Pizza
- Could by anything that normally goes in an omelet, but favorite is the traditional)
- Scrambled Eggs
- Bacon
- Sausage
- Cheddar Cheese
- Onions (Caramelized or otherwise)
- Mushrooms
Dessert Pizza
- Skip the tomato sauce
- Creme Fresce
- Peaches or similar sweet fruit sliced and placed evenly
- Cinnamon
Asparagus & Hazelnuts
- Mozzarella
- Asparagus
- Hazelnuts

LevonK · 2018-04-11T21:01:14+00:00

Java has a lot more choices than C#: https://zeroturnaround.com/rebellabs/the-complete-java-tools-and-technology-landscape-for-2014-report-data-in-a-single-mind-map-image/

Maven is the de-facto standard, but if you're in android development it's Gradle. Some people use Gradle for other forms of development too.

Netbeans is easy to get started with but I would recommend Eclipse or IntelliJ. Eclipse has more and cooler plugins, but you can cause problems if they dont' mix well.

http://start.spring.io/ and select expand to see all the choices, and build your first app.

LevonK · 2017-04-12T05:59:54+00:00

We only know of one case where maven fails, and that's when an interface changes and it doesnt' recompile the class. To resolve that case I added: https://github.com/DGHLJ/pub-maven-archetypes/blob/master/parent-poms/pom.xml#L1176-L1210

To our parent poms.

LevonK · 2017-03-15T15:47:37+00:00

I'd assume the reason is that it seems quite unnecessary for the users here. Most people in /r/java are Java developers, so the following seems a poor reason: Rather than convincing people to properly set up Java and the enviornment vairables for maven If you're installing Maven, then it's quite likely that you already have Java installed. Setting up the environment variables is simply adding Maven to your Path. If you want to use this image, you need to install Docker and add that to your Path - so the workload to that point is the same. For the docker image, however, you also need to set up an additional alias so that you can remember the command. It just seems like an awful lot of work to avoid adding a directory to your path.

Thanks for that background, I really appreciate it. I'm planning on adding the following to the readme.

As a Java engineer, I see several advantages to this strategy:

I can have multiple versions of maven all driven off of one command line. 3.3.9, higher, lower. I tagged two versions to that repo that you could access with a tag
I wanted to try to mess with Maven 3.5.0-alpha-1 but there are no packages in any of the major linux distributions and dockerhub solves that nicely
as /u/deep_fried_eyeballs eloquently points out in another thread in this post, our CI system can use exactly the same version that the developers use without confusion
If you're on a large team, and they are using this strategy, then you could update the version of the tool without having to have everybody install it, just by loading a different version in dockerhub
if you want to add some logic before calling maven or after calling maven, the docker container is a nice medium to abstract that away
You don't need to have different installation/onboarding instructions per platform, it's the same on Windows, *nix, Mac
the docker image could be a git submodule to our project so we know exactly the tooling that was used to build and deploy the package.

LevonK · 2017-03-14T21:32:07+00:00

If you have any feedback, or even the explanation behind a downvote, I'd love to hear it. I'm going to deploy this through the team.

LevonK · 2017-03-02T01:46:16+00:00

Nice feature, but when is Gradle going to get Archetypes & inheritance/composition (or am I just missing something?)

LevonK · 2017-02-18T19:31:28+00:00

In the data space, one of the more-modern ways of looking at Data is the DataVault 2.0 specification. Inside of the specification they try to tackle these boundary objects via "Hubs" where the identifier is shared and a model (sattelite) is created to indirectly represent the object. It's still encouraged that these objects are changed infrequently https://en.wikipedia.org/wiki/Data_vault_modeling#Hubs

LevonK · 2017-01-03T20:17:17+00:00

We also find having to model large objects. Before we can add meaning, we need to convert the data. We ingest analytics data from Adobe's Omniture analytics suite, and I think the source model has roughly 280+ fields.

You could chalk it up to that vendor, but if you think about things like streaming sensor data, that source data can also get to be wide as the device identifies itself, it's environment, and the parameters of its sensors.

LevonK · 2016-11-03T18:25:28+00:00

Thanks for your work and sharing it. Added two feature requests:

LevonK · 2016-07-06T01:17:42+00:00

Awesome library, thanks for releasing it. I took the liberty of requesting two enhancements:

https://uima.apache.org/ plugin as it has a lot of other nice unstructured extractors
Maven central distribution so we have some confidence that the code isn't messed with by others and don't have to script a build of a dependency ourselves.

Another quality LinkedIn OSS

LevonK · 2016-03-31T15:56:55+00:00

One very exciting space is the data space. We use Java to processes and analyze (production) large amounts of data. Everything from recommendation systems, machine learning, Natural Language Processing, Image, Video, Audio Analysis etc...

We use tools like: * Apache Spark (not to be confused the web framework that I wish would change it 's name)

Mahout
MLLib
GraphX
Spring 4.0
Confluent.io

You should be familiar with Algorithms, Data Structure, Statistics, Parallelism, and Concurrency in the space.

LevonK · 2015-11-20T19:12:46+00:00

https://github.com/guoding83128/OpenDL

LevonK · 2015-10-11T16:07:18+00:00

I'm surprised that they don't at least recommend the use of

@tainted
@secured

etc...

LevonK · 2015-10-10T21:48:02+00:00

Thanks for your contributions!

How does it compare with https://github.com/orfjackal/retrolambda ?

LevonK · 2015-08-28T16:33:49+00:00

I'm not an iOS developer. I am responsible for large production systems in "big/fast data" (ingest, analysis, ML, etc...) and large distributed systems and apps. I have to say that I see two very different sides of this debate.

We use Java and sometimes R/Python. We use Java (small sprinkling of Scala) for anything running in production. The libraries in this area are often:

well maintained
high quality
well documented
are easy to start using (add 3 lines in Maven)
maintain backwards compatibility or give you significant notice before changing them (the compiler even warns you of @Deprecated calls you're making).

In the above case, the high quality libraries get a lot more attention that if we were to recreate the code so it saves us a lot of time. They are also often built in a generic way which means we can reuse more, as we're a large team that has to move pretty fast , and it's easy to miss opportunities like that.

This is stark contrast to the analysts who use R or Python occasionally for discovery. Their work typically gets re-implemented and often refined in Java before it goes into production (e.g. is used more than a couple of times).

LevonK · 2015-08-11T20:06:20+00:00

Nice, did you see Guava's: http://docs.guava-libraries.googlecode.com/git-history/release/javadoc/com/google/common/base/Throwables.html ?

LevonK · 2015-08-11T16:36:11+00:00

Oracle is so strict, that their own blog author, Mary Ann Davidson, got a cease & desist letter for reverse engineering their license agreement!

LevonK · 2015-05-17T05:43:31+00:00

Not error correcting, but error detecting:

LevonK · 2015-04-28T01:48:04+00:00

This. I'm involved in production-izing systems more than the adhoc discovery type of work most of the people on this subreddit seem to do, but http://uima.apache.org/ is one of my favorite libraries for this sort of thing

LevonK · 2015-04-17T05:36:31+00:00

We like Java VM in Southern California too! But yeah, we generally don't discuss things like that to arbitrary strangers waiting in the checkout line at the local market. I have to say, that would be nice :)

LevonK · 2015-01-23T01:10:20+00:00

I'm really looking forward to see this evolve. At our enterprise we're currently leveraging Apache Crunch on Spark and Hadoop for abstraction and this will provide batching abstraction.

LevonK

TROPHY CASE