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 / 4 months ago
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 / 5 months ago
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 / 10 months ago
Congrats you discovered why Poetry and Conda projects exist! Source: 12 months ago
Miniconda runs exclusively in userspace and requires no escalated privileges. Source: about 1 year ago
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 / about 1 year ago
There are actually a bunch of great userspace packaging tools for command-line utilities and runtimes such as conda and brew. Source: about 1 year ago
It was a bad joke. Conda (https://docs.conda.io/en/latest/) is a package manager that can be used with Python. Source: over 1 year ago
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 1 year ago
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 1 year ago
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 1 year ago
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 1 year ago
Let's get started on this installation. Install PyPDF2 and FPDF using pip or conda (if you're using Anaconda). - Source: dev.to / over 1 year ago
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: over 1 year ago
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: over 1 year ago
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: over 1 year ago
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 2 years ago
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 2 years ago
Gh is available via Homebrew, MacPorts, Conda, Spack, and as a downloadable binary from the releases page. - Source: dev.to / about 2 years ago
You need to install Python 3 interpreter in your computer. This will read and execute our Python programs. Python 3.10 is the latest version with the latest features. This article uses Python 3.8 (which is the latest security release), in the conda environment. - Source: dev.to / about 2 years ago
Take a look at the Robostack project. It's using the Conda (actually, probably Mamba is recommended) package management system to install packages in an isolated environment with an isolated copy of Python of whatever version, and it might already work for you. Source: about 2 years ago
Do you know an article comparing Conda to other products?
Suggest a link to a post with product alternatives.
This is an informative page about Conda. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.