Jacek Laskowski
@jaceklaskowski
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Freelance Data(bricks) Engineer • #ApacheSpark #DeltaLake #UnityCatalog #MLflow #Databricks #DSPy | Java Champion | @theASF | #DatabricksMVP
Warsaw, Poland
Joined May 2009
Turned out we as a society learnt nothing since the World War II if we allowed people like Vladimir Putin to start a war against #Ukraine! I'm very very sorry Ukraine that you must suffer from our stupidity. Wish you all the best and kick Russian asses out of your soil! 🙏
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It's not about being ready someday, it's about being ready every day. Train at home with your own personal VR shooting simulator.
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Stanford's FREE Courses on AI & ML: ❯ CS221 - Artificial Intelligence ❯ CS229 - Machine Learning ❯ CS230 - Deep Learning ❯ CS234 - Reinforcement Learning ❯ CS336 - LLM from Scratch ❯ CS224N - NLP with Deep Learning All 11 course links inside:
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That made me a superhero! 🏆 My PR for #SparkDeclarativePipelines got merged to #ApacheSpark 4.1 (and should soon hit the shelves near y'a) 🤩 https://t.co/ZMJDZ9wheN
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Trump says NEWSMAX is 'terrific!' Click below to find out why...
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That made me a superhero! 🏆 My PR for #SparkDeclarativePipelines got merged to #ApacheSpark 4.1 (and should soon hit the shelves near y'a) 🤩 https://t.co/ZMJDZ9wheN
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Real-Time Trigger added to #ApacheSpark #StructuredStreaming 4.1.0-SNAPSHOT ❤️ No real impl yet, but getting hotter... https://t.co/WhtjoxFyZC
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Compiling ... ammonite in #ApacheSpark 4.1's spark-shell 🤨 I don't think I've seen it before... 🤔
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We are happy to announce the Apache Kafka 4.1.0 release! Most exciting, Queues for Kafka enters preview status, and the new “streams” rebalance protocol is available as early access. Thanks a lot to 167 contributors and our RM @MickaelMaison! https://t.co/DUiDrpIpPN
kafka.apache.org
Apache Kafka
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🐍📺 Learn how to speed up your programs using concurrency and the asyncio module in the standard library. See step-by-step how to leverage concurrency and parallelism in your own apps. #python
realpython.com
Learn how to speed up your Python 3 programs using concurrency and the asyncio module in the standard library. See step-by-step how to leverage concurrency and parallelism in your own programs, all...
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Book Details - Mathematics for Computer Science - Eric Lehman, F Thomson Leighton, Albert R Meyer - From MIT Press - 2018 Edition - 1048 pages 🔗
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That’s not a joke That’s 12,5% up in first hour That’s record sales That’s a huge momentum $NVDA $PLTR $meta $Amzn $SPY
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If the temperature is high, the probabilities start to look like a uniform distribution: This means the sampling process may select any token. This makes the generation process random and heavily stochastic, like we saw earlier. Check this👇
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If the temperature is low, the probabilities look like a max value instead of a “soft-max” value. This means the sampling process will almost certainly choose the token with the highest probability. This makes the generation process (nearly) greedy. Check this👇
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In our latest article, learn how you can use the Unity Catalog REST API to store and manage your data and AI assets. There are two ways to use Unity Catalog: 🔹 the built-in Command Line Interface 🔹 the REST API The Unity Catalog REST API is a great alternative to using the
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📢 New #meetup, folks 🔥 Learn #Python 🐍 through functools module (and #OpenAI's Python API) ➡️ https://t.co/abIWQXPzkJ (Only in Polish 🇵🇱 yet the announcement in English 🇬🇧 🤷♂️)
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Give #DeclarativePipelines framework (#ApacheSpark 4.1.0-SNAPSHOT) a serious try with the demo. Enjoy! ❤️ ➡️ https://t.co/nlgsc7l75y It's not released yet, and under heavy development.
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🐍📰 Ruff: A Modern Python Linter for Error-Free and Maintainable Code — https://t.co/y2sZCtlDLM
#python
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I'm teaching a new course! AI Python for Beginners is a series of four short courses that teach anyone to code, regardless of current technical skill. We are offering these courses free for a limited time. Generative AI is transforming coding. This course teaches coding in a way
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BatchTableWrite Flow Execution in #ApacheSpark #DeclarativePipelines framework ➡️ https://t.co/7UEDsVCi2E ⚠️ Spark Declarative Pipelines are still in the works in Spark 4.1.0-SNAPSHOT
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#TIL while with #DeclarativePipelines in #ApacheSpark 4.1.0-SNAPSHOT ... #Scala 2.13 comes with Option.when for conditional evaluation 👏 (Great, but I'm mostly with #Python these days 🤷♂️) ➡️ https://t.co/7rTyBthYm0]
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