Conda Reviews and Details

Is Conda good?

Social recommendations and mentions

• Say Hello to UV: A Fast Python Package & Project Manager Written in Rust

  If you’ve been managing Python projects long enough, you’ve probably dealt with a mess of tools: pip, pip-tools, poetry, virtualenv, conda, maybe even pdm. - Source: dev.to / 3 months ago

• The Simplest Data Architecture

  You can use isolated Python environments like venv or conda. If you do this, you'll have to manage your environments yourself, and also constantly switch between them to run your data engineering code vs dbt. - Source: dev.to / 10 months ago

• Python's virtual environments

  Conda is an open-source package management system and environment management system that runs on Windows, macOS, and Linux. It is a powerful tool that allows you to create and manage virtual environments, install and update packages, and manage dependencies. Conda is particularly popular in the scientific computing community, as it provides access to a wide range of scientific computing libraries and tools. I... - Source: dev.to / about 1 year ago

• Introducing Flama for Robust Machine Learning APIs

  When dealing with software development, reproducibility is key. This is why we encourage you to use Python virtual environments to set up an isolated environment for your project. Virtual environments allow the isolation of dependencies, which plays a crucial role to avoid breaking compatibility between different projects. We cannot cover all the details about virtual environments in this post, but we encourage... - Source: dev.to / over 1 year ago

• Ask HN: Package management for multiple modules in C++, Python, Java project?

  Conda https://docs.conda.io/en/latest/ ?? I'm not sure, but I used it to download some Python packages. It's an alternative to pip, but I'm not sure about the details. - Source: Hacker News / over 1 year ago

• How To Manage Environment For Data Science Project Using Conda

  Conda is an open-source package management and environment management system that can be used to create different isolated development environments. Conda can be used in place of pipenv to create a virtual environment. - Source: dev.to / about 2 years ago

• Full system upgrade just killed all my python virtualenvs

  Congrats you discovered why Poetry and Conda projects exist! Source: about 2 years ago

• I need help downloading Python 3.7 on my Steam Deck any help is appreciated!

  Miniconda runs exclusively in userspace and requires no escalated privileges. Source: over 2 years ago

• How to make an AWS Lambda custom layer for python

  2- You must use the same python version in your local environment as in your lambda function. My Lambda uses Python 3.9 and I'll use that too. You can use whatever Python environment management solution that makes sense for you. I use Conda but pyenv is good. This is how you do it using Conda. - Source: dev.to / over 2 years ago

• Ubuntu Flavors Decide to Drop Flatpak

  There are actually a bunch of great userspace packaging tools for command-line utilities and runtimes such as conda and brew. Source: over 2 years ago

• Want to know the future career prospects of python programming.

  It was a bad joke. Conda (https://docs.conda.io/en/latest/) is a package manager that can be used with Python. Source: over 2 years ago

• Reproducible environment in nbdev with Pipenv

  If you’re not familiar with Pipenv, it’s a tool for managing Python Dependencies. It’s similar to Virtualenv, Conda or Poetry, but it’s a bit more user-friendly. - Source: dev.to / over 2 years ago

• Steam Deck as a Software Engineer

  Fwiw, most IDEs can run sandboxed in userspace these days, you can use conda to get up a full gcc toolchain in a virtual environment, and failing that there's always pacman - r. Source: over 2 years ago

• Will Valve ever support AUR helpers alongside Flatpaks? I'm sick of anything installed by AUR helpers getting removed every update.

  Conda started as a data science oriented package manager, but I've gotten an entire g++ toolchain installed on the Deck with it. Source: over 2 years ago

• Does stream deck work with steam steck?

  The UI parts are easy--it's a python package, and even the system libraries should be installable in userspace using conda or pacman -r, but modifying the udev rules might be problematic. Source: over 2 years ago

• Working with PDFs in Python

  Let's get started on this installation. Install PyPDF2 and FPDF using pip or conda (if you're using Anaconda). - Source: dev.to / over 2 years ago

• Just got my deck yesterday and am discovering it is so much more than just a game machine. What are your favorite Discover apps?

  Also a pro tip: if it's command line utilities you're missing (like imagemagick, g++ or a better python interpreter, I highly recommend you install a conda distribution (specifically mambaforge. It's absolutely incredible what's available these days, all without needing root or access to system files. Source: almost 3 years ago

• Unpopular opinion about Linux

  Avoid installing system packages where at all possible. Your software sourcing flowchart should go: Flatpak -> Appimage -> conda -> Snap (omit if you want to try distros that aren't Ubuntu or Fedora) -> apt/pacman/yum/build from source, only as a last resort. When using distro-agnostic packages, store everything on your shared partition and use symlinks to keep the OS happy. Source: almost 3 years ago

• Environment for building software from source?

  This has to be true for C/C++ as well, right? In fact, I've gotten a setup 90% working conda (pro tip: mambaforge is where it's at) but while this works for single projects where all the deps are available from conda, I'm back at square one when I need to build a missing library that's needed by my application. Source: almost 3 years ago

• Unpopular Opinion: Flatpaks are overrated.

  At the end of the day I just really wish there were an alternative that worked more like conda (aside from, well, conda). Source: almost 3 years ago

• Linux using Python

  The course should teach you something about virtual environments. So take a look at venv and conda. These are very important as you really shouldn’t use your system python for development. Source: about 3 years ago