flynt
conda
Our great sponsors
flynt | conda | |
---|---|---|
13 | 30 | |
667 | 6,086 | |
- | 1.4% | |
6.6 | 9.8 | |
5 months ago | 1 day ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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.
flynt
- flynt – convert old Python code to use Python 3.6's "f-strings"
-
A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
pyupgrade and flynt are examples of tools that modify your code base from earlier python versions into the newest python syntax, rewriting all string formats into f-strings and similar things.
-
Conversion from the f-string literals to format method in python
flynt - string formatting converter
- Flynt – convert Python old %-formatted strings to Python 3.6 f-strings
- pathlib instead of os. f-strings instead of .format. Are there other recent versions of older Python libraries we should consider?
- formatting issues
-
Python Best Practices for a New Project in 2021
That is a great write-up! One extra bit I'd recommend to this list is using https://github.com/ikamensh/flynt to convert string format into f-strings. It requires Python 3.6.
- Flynt: Convert old Python string formatting to f-strings
- A tool to automatically convert old string literal formatting to f-strings
conda
-
How to Create Virtual Environments in Python
Python's venv module is officially recommended for creating virtual environments since Python 3.5 comes packaged with your Python installation. While there still are additional older tools available, such as conda and virtualenv, if you are new to virtual environments, it is best to use venv now.
- Why does creating my conda environment use so much memory?
- Installing Anaconda on ChromeOS using Linux
-
PSA: conda-libmamba-solver can cut two hours off of your Anaconda install, but has only 47 GitHub stars. It deserves more praise.
conda's dependency solver solves a harder problem than pip's. This quote alludes to it "Conda will never be as fast as pip, so long as we're doing real environment solves and pip satisfies itself only for the current operation." (from https://github.com/conda/conda/issues/7239). Thus mamba was created to improve performance and now conda is bringing in that performance boost.
- Is Anaconda still open source?
-
How to get the best Conda environment experience in Codespaces
The other challenge I ran into sometimes was that if I was running a lower memory/storage Codespace instance, when I tried to use Conda from the command line to modify environments, the process would be killed after a few seconds. This turns out to be related to some performance issues Conda has that make it consume a lot of memory when trying to work with the conda-forge installation channel. You can always then just increase the size of the Codespace your are working with (just go to your Codespaces list and use the triple dots to change the settings for a Codespace).
-
What is the status of Python 3.11?
It's worth noting that [ana]conda isn't even fully compatible yet with 3.11 (you can use it to create 3.11 environments--and you really should rather than waiting on relying on the system python--but conda itself can only run on 3.10.
-
Miniconda finally released for Python 3.10
It took some time but as great Christmas present Miniconda was finally released with Python 3.10!
-
TW: ZSH (and BASH?) does not show current working dir etc anymore
The September update broke it.
-
Python 3.11.0 is now available
According to this this issue is high on their priority list (whatever that means).
What are some alternatives?
pyupgrade - A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.
mamba - The Fast Cross-Platform Package Manager
python-imphook - Simple and clear import hooks for Python - import anything as if it were a Python module
Poetry - Python packaging and dependency management made easy
minimum-viable-wordpress - A single-file WordPress theme.
miniforge - A conda-forge distribution.
devpi - Python PyPi staging server and packaging, testing, release tool
PDM - A modern Python package and dependency manager supporting the latest PEP standards
pypiserver - Minimal PyPI server for uploading & downloading packages with pip/easy_install
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
MLStyle.jl - Julia functional programming infrastructures and metaprogramming facilities
pip - The Python package installer