Why and how to use conda?

This page summarizes the projects mentioned and recommended in the original post on /r/Python

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  • mamba

    The Fast Cross-Platform Package Manager (by mamba-org)

  • For faster conda dependency management you can turn to mamba.

  • Pipenv

    Python Development Workflow for Humans.

  • I’m partial to pipenv but it does depend on pyenv (which works on Windows albeit via WSL, no?)

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • conda-lock

    Lightweight lockfile for conda environments

  • where last file was generated by doing pip-compile requirements.in (a list of dependencies unpinned). So I'm unsure which dependency issues you are referring to beyond lock file not being included in pip directly. But conda equivalent lock file is also not included and envionrment.yml is not a fully reproducible thing unless you pin all your transitive dependencies in a conflict free manner which would be a pain to do manually. Looks conda equivalent in conda-lock, https://github.com/conda-incubator/conda-lock.

  • open-gov-crawlers

    Parse government documents into well formed JSON

  • I find it very agnostic. I use it for app development, not packages. E.g.: https://github.com/public-law/open-gov-crawlers

  • miniforge

    A conda-forge distribution.

  • I'll also advocate for conda-forge, which may solve the problems OP encounters. In particular, I'd recommend using miniforge, which sets conda-forge to the only channel by default.

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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