Chain.jl
FizzBuzz Enterprise Edition
| Chain.jl | FizzBuzz Enterprise Edition | |
|---|---|---|
| 8 | 329 | |
| 346 | 20,505 | |
| - | 0.5% | |
| 4.2 | 0.0 | |
| 2 months ago | 3 days ago | |
| Julia | Java | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Chain.jl
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Pains of Julia compared to python
The [Chain.jl package](https://github.com/jkrumbiegel/Chain.jl) is becoming idiomatic for these kind of pipelines.
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Transition from R Tidyverse to Julia (VS Code)
If you do have tabular data in a dataframe you have a few options for data manipulation, the most popular packages are probably DataFramesMeta and Query, although in my opinion the best way to manipulate dataframes is with the functions built in to DataFrames.jl and using a package like Chain.jl or Pipe.jl to pipe the functions into each other like magrittr in R.
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The (updated) history of the pipe operator in R
The Julia community built a better piping method than any other language has AFAIK: Chain.jl.
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What are some of your favourite macros?
@chain and @match.
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Why is piping so well-accepted in the R community compared to those in Julia and Python?
Have you ever tried Infiltrator.jl and Chain.jl?
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https://np.reddit.com/r/Julia/comments/nnu6if/julia_object_oriented_programming_with_dot/h0anaru/
You are right. However, sometimes well used is very useful, and readable. One suggestion, in Julia I suggest Chain.jl, because it allows intercalate easily the output for debugging:
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Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?
I also like pipe syntax and I've found there is nice support for it in Julia. There are some nice packages to improve it over base [1].
Have you checked queryverse [2]?
[1] https://github.com/jkrumbiegel/Chain.jl
FizzBuzz Enterprise Edition
- FizzBuzzEnterpriseEdition
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Simple Lasts Longer
That "Hello World Enterprise Edition" looks dangerously under-engineered - I could understand it! Far better to follow the best practices demonstrated in the Fizz Buzz Enterprise Edition...
https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...
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Writing Clean Code with FastAPI Dependency Injection
Clean code is a balancing act - you’ll want to make sure you don’t turn your codebase into something like this.
- Milyen hasznos Github repokat ismertek?
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Yazılım sektörünü bırakmaya değer mi?
Bu hocam https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpriseEdition
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oopWentTooFar
amidoingitright
- 7+ layer generic architecture libraries are crying rn
- Primeagen Code Review - EnterpriseQualityCoding/FizzBuzzEnterpriseEdition: FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.
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Is Entreprise code unavoidable?
It seems to me that all large software projects eventually grow into "Enterprise" code. What I mean by this is something like FizzBuzz Enterprise Edition; large codebases with many layers where Design Patterns and SOLID principles are applied vigorously.
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Java 21 makes me like Java again
???
I'll answer your question with a question: Have you seen https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris... ? :)
I'm guess that to those of us who remember when Java came out, "FizzBuzz: EE" is what we think of when we think of Java. :P
In Java I have to type a bazillion characters to get anything done! And make all these useless directories and files and InterfaceClassFactoryProtocolStreamingSerializer BS. And worry about how that executes.
C++? No bloat*, just speed
*Yes, there's some _optional_ bloat. But compared to Java? no contest.
What are some alternatives?
Pipe.jl - An enhancement to julia piping syntax
Logback - The reliable, generic, fast and flexible logging framework for Java.
Genie.jl - 🧞The highly productive Julia web framework
awesome-functional-python - A curated list of awesome things related to functional programming in Python.
Revise.jl - Automatically update function definitions in a running Julia session
Simple Java Mail - Simple API, Complex Emails (Jakarta Mail smtp wrapper)
JLD2.jl - HDF5-compatible file format in pure Julia
yGuard - The open-source Java obfuscation tool working with Ant and Gradle by yWorks - the diagramming experts
PaddedViews.jl - Add virtual padding to the edges of an array
bitburner - Bitburner Game
Infiltrator.jl - No-overhead breakpoints in Julia
Java-Hello-World-Enterprise-Edition