Chavillon julien

Geek & Développeur, papa comblé, amateur de sports, Iron man un jour peut être

[Brij Pandey @LearnWithBrij]

Git commands I used 99% of the time:

𝟭. 𝗴𝗶𝘁 𝗱𝗶𝗳𝗳: Show file differences not yet staged.
𝟮. 𝗴𝗶𝘁 𝗰𝗼𝗺𝗺𝗶𝘁 -𝗮 -𝗺 "𝗰𝗼𝗺𝗺𝗶𝘁 𝗺𝗲𝘀𝘀𝗮𝗴𝗲": Commit all tracked changes with a message.
𝟯. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘁𝘂𝘀: Show the state of your working directory.
𝟰. 𝗴𝗶𝘁 𝗮𝗱𝗱 𝗳𝗶𝗹𝗲_𝗽𝗮𝘁𝗵:Add file(s) to the staging area.
𝟱. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 -𝗯 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Create and switch to a new branch.
𝟲. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Switch to an existing branch.
𝟳. 𝗴𝗶𝘁 𝗰𝗼𝗺𝗺𝗶𝘁 --𝗮𝗺𝗲𝗻𝗱:Modify the last commit.
𝟴. 𝗴𝗶𝘁 𝗽𝘂𝘀𝗵 𝗼𝗿𝗶𝗴𝗶𝗻 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Push a branch to a remote.
𝟵. 𝗴𝗶𝘁 𝗽𝘂𝗹𝗹: Fetch and merge remote changes.
𝟭𝟬. 𝗴𝗶𝘁 𝗿𝗲𝗯𝗮𝘀𝗲 -𝗶: Rebase interactively, rewrite commit history.
𝟭𝟭. 𝗴𝗶𝘁 𝗰𝗹𝗼𝗻𝗲: Create a local copy of a remote repo.
𝟭𝟮. 𝗴𝗶𝘁 𝗺𝗲𝗿𝗴𝗲: Merge branches together.
𝟭𝟯. 𝗴𝗶𝘁 𝗹𝗼𝗴 --𝘀𝘁𝗮𝘁: Show commit logs with stats.
𝟭𝟰. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘀𝗵: Stash changes for later.
𝟭𝟱. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘀𝗵 𝗽𝗼𝗽: Apply and remove stashed changes.
𝟭𝟲. 𝗴𝗶𝘁 𝘀𝗵𝗼𝘄 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Show details about a commit.
𝟭𝟳. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 𝗛𝗘𝗔𝗗~𝟭: Undo the last commit, preserving changes locally.
𝟭𝟴. 𝗴𝗶𝘁 𝗳𝗼𝗿𝗺𝗮𝘁-𝗽𝗮𝘁𝗰𝗵 -𝟭 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Create a patch file for a specific commit.
𝟭𝟵. 𝗴𝗶𝘁 𝗮𝗽𝗽𝗹𝘆 𝗽𝗮𝘁𝗰𝗵_𝗳𝗶𝗹𝗲_𝗻𝗮𝗺𝗲: Apply changes from a patch file.
𝟮𝟬. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵 -𝗗 𝗯𝗿𝗮𝗻𝗰𝗵_𝗻𝗮𝗺𝗲: Delete a branch forcefully.
𝟮𝟭. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁: Undo commits by moving branch reference.
𝟮𝟮. 𝗴𝗶𝘁 𝗿𝗲𝘃𝗲𝗿𝘁: Undo commits by creating a new commit.
𝟮𝟯. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗿𝗿𝘆-𝗽𝗶𝗰𝗸 𝗰𝗼𝗺𝗺𝗶𝘁_𝗶𝗱: Apply changes from a specific commit.
𝟮𝟰. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵: Lists branches.
𝟮𝟱. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 --𝗵𝗮𝗿𝗱: Resets everything to a previous commit, erasing all uncommitted changes.

[Rock the JVM @rockthejvm]

New video on Algebraic Data Types (ADTs) in Java:

https://t.co/gljFKRHaeS

[javinpaul @javinpaul]

Book Review - Is Effective Java 3rd Edition Really Worth It? https://t.co/z0AdjQUNCI

[Apache Spark @ApacheSpark]

In this video, @lisancao walks through Apache Spark 4.2, starting with metric views: define the measure once in YAML, store it in the catalog, and everything downstream hits the same number.

🔸 Real-time mode — Structured Streaming at millisecond latency; same DataFrame API. Now in PySpark for stateless queries
🔸 Vector search in Spark SQL — top-K nearest join on the arrays you already have. No extra vector store
🔸 Arrow-batch Python UDFs on by default, no code change

🎥 Watch: https://t.co/i9w50mGquD

#ApacheSpark #Spark #PySpark #OpenSource

[Rock the JVM @rockthejvm]

New podcast episode!

Trisha Gee (@trisha_gee) on AI & the software job market, skill atrophy and the death of Stack Overflow:

[Rock the JVM @rockthejvm]

New article - ADTs (algebraic data types) in Java:

https://t.co/w8YTBrq3Nw

by @riccardo_cardin

[Chavillon julien @juLeChav]

@RemiTrainPCLM Train bloqué pendant 15 min a Versailles sans aucune annonce ou explication.... :(
Nous devrions tout juste arrive a Paris montparnasse.

[Scala @scala_lang]

sbt 2 is available!

sbt 2 is a new major series of sbt, based on Scala 3 constructs, Bazel-compatible cache system, and parallel JVM/JS/Native cross building. Have you experienced it? Let us know what you think!
https://t.co/hPXg0zNgzp

[Manning Publications @ManningBooks]

SAVE 45%, only on June 21st!

Today, you can SAVE on Just Use Postgres! by Denis Magda @denismagda and other related titles: https://t.co/7auCrvmzZA

Written for busy application developers, each chapter explores a different use case, illuminating the breadth and depth of Postgres’s capabilities.

[Rock the JVM @rockthejvm]

The Spark Performance Tuning course is updated for Spark 4.1, and with new content on shuffle compression.

That makes the Spark Bundle the most complete training on Apache Spark anywhere.

You'll get better hands-on skills than $3000 worth of Databricks trainings, >15x cheaper.

[Chavillon julien @juLeChav]

@RemiTrainPCLM Bonjour @RemiTrainPCLM , quel est le prochain train au départ de maintenon pour Paris ?
Sncf connect annonce 07h16 ?

[Rock the JVM @rockthejvm]

Talking to people about how they think about AI, I just noticed we're

A. In various stages of grief:
"writing by hand"
"I hate LLMs"
"If I knew AI was coming..."
"AI is taking the joy of programming away"
"Oh well, we'll adapt"

B. In a mix of excitement and bewilderment, some bordering on mania

[Manning Publications @ManningBooks]

@abhinav_kimothi Thanks for sharing! Glad to hear you enjoyed it.

[Rock the JVM @rockthejvm]

MASSIVE update for the Spark Streaming course:

About 60% of the course re-recorded or brand new. Spark 4.x, better integrations, new stateful transformations, and a brand new project.

It's now the most complete Spark Streaming course on the market, >15x cheaper than Databricks.

[Bhavika Agarwal @Ai_Tech_tool]

Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.

[Flavio Brasil @fwbrasil]

Scala has long been a magnet for innovation and, although that's actually desirable, the consequent fragmentation of the ecosystem is a major issue for library authors. And yes, Kyo worsens it.

It's time for a proper solution! Forget F[_], meet kyo-compat: write your library once, support ZIO, Cats Effect, Future, Ox, Twitter Future, and Kyo 🪄

✅ Zero overhead: every method is inline and lowers to the backend's own primitive. No typeclass dispatch
✅ No degraded features: capabilities like tracing work as if using the underlying libraries directly
✅ Fully isolated: each artifact depends only on its target library. No Kyo runtime, zero dependencies
✅ SBT plugin: cross-publishes every backend from one source tree

One source. Every stack.

[AI_Explorer @ai_explorer25]

Top YouTube Channels to Master Tech Skills

SQL
👉 https://t.co/pnsTPRMfXT

Excel
👉 https://t.co/SskmseWoeQ

Statistics
👉 https://t.co/yzTsdW5aHw

Math
👉 https://t.co/B5Re7UZx9Y

Python
👉 https://t.co/5McKRKvdz8

Data Analysis
👉 https://t.co/u6xyrS58Sz

Machine Learning
👉 https://t.co/IS4OV1mGIh

Deep Learning
👉 https://t.co/HItQpxZomh

Java
👉 https://t.co/uPN17vVsAm

Big Data
👉 https://t.co/TwzBFyKEXb

[Radha Tripathi @Radha_AI]

Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.

[Manning Publications @ManningBooks]

Better math often means better decisions in code.

From algorithms and stats to geometry and AI fundamentals, these books focus on the concepts that actually shape how software works and how you reason through it.

Included titles:
• Math for Web Design
• Grokking Algorithms, Second Edition by @_egonschiele
• Grokking Bayes by @the_subtrahend
• Grokking Statistics by @thomasnield76
• Math for Programmers
• Geometry for Programmers
• Math and Architectures of Deep Learning
• Fabulous Adventures in Data Structures and Algorithms by @ericlippert

Half off here: https://t.co/s1C0XBcEov

[Rock the JVM @rockthejvm]

The site just got a major facelift, take it for a spin - it's illustrative of what's to come!