Pipe
python-patterns
| Pipe | python-patterns | |
|---|---|---|
| 6 | 31 | |
| 1,854 | 39,439 | |
| - | - | |
| 5.6 | 0.0 | |
| 28 days ago | 26 days ago | |
| Python | Python | |
| 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.
Pipe
- Pipe: A Python library to use infix notation in Python
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Lets-Plot: An open-source plotting library by JetBrains
The Apache Beam SDK for Python is another example. It has its own pipe expressions (|, >>, |>, etc.).
[1] https://github.com/JulienPalard/Pipe
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Are we looking at the same python?
For example, you can't do something like array.map(). You have to do map(array), which is really unergonomic in many cases. That's why there are things like Pipe for Python, or pipe-like operators in other languages.
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This Week in Python
Pipe – A Python library to use infix notation in Python
- A Python library to use infix notation in Python
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Easy, readable data processing in functional manner using pypely
Yes it works with MPP engines as the package is not used for orchestration purposes. It is meant to encourage a coding paradigm: functional programming. The benefit of the package is that it provides functions that make it easy to apply functional programming to data processing tasks. Similar projects with a different focus are: fluentpy and Pipe
python-patterns
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Any good resource on design patterns with examples in Python?
GitHub: Collection of design patterns and idioms
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Top GitHub Resources to Level Up Your Python game
🎇 Repository Link: Python Patterns
- How to improve design
- How to design Python scripts for sensitivity analysis of portfolios?
- They still scare me
- Out of curiosity: what is the python project structure you usually go gor?
- For those of you in industry, are there any resources that discuss best practices and whatnot?
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100+ Must Know Github Repositories For Any Programmer
4. Python Patterns
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Python toolkits
Your post has so many good elements that I've saved them for study and prompted feedback about the applications in Natural Language Processing and ML in Finance/BioTech. Most of my work lately has been NLP analysis research so devops and other GOF software concepts in your repo https://github.com/faif/python-patterns has been challenging.
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[Free Resource] Python Design Patterns
GitHub: Collection of design patterns and idioms
What are some alternatives?
fluent - Python wrapper for stdlib (and other) objects to give them a fluent interface.
PyPattyrn - A simple library for implementing common design patterns.
plotly.rs - Plotly for Rust
TheAlgorithms - All Algorithms implemented in Python
datashader - Quickly and accurately render even the largest data.
sortedcontainers - Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
DeepFaceLive - Real-time face swap for PC streaming or video calls
algorithms
pygg - ggplot2 syntax in python. Actually wrapper around Wickham's ggplot2 in R
more-itertools - More routines for operating on iterables, beyond itertools
candygraph - Fast by default, flexible 2D plotting library.
python-ds - No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.