Conda

Conda is an open-source package and environment management system widely used in the data science and machine learning communities. It allows users to easily install, run, and update software packages while managing dependencies across different projects. Unlike traditional package managers, Conda supports multiple programming languages, including Python, R, and Ruby, making it versatile for various applications. Users can create isolated environments for different projects, ensuring that dependencies do not conflict. This feature enhances reproducibility and portability, which are crucial for research and collaborative work. Overall, Conda simplifies the management of software environments, making it an essential tool for data scientists.

Getting Started with Conda

Towards Data Science

Conda is an open source package and environment management system for data science and machine learning projects that runs on Windows, Mac OS and Linux.

The Definitive Guide to Conda Environments

Towards Data Science

Conda environments are like cousins of Python’s virtual environments. Both serve to help manage dependencies and isolate projects, and they function in a similar way, with one key distinction: conda…

From soup to nuts guide for setting up a conda environment

Towards Data Science

Hello! Conda is one of the most popular tools at data science community, and yet, it can be confusing to understand the steps and the cost of implementing that step, as there is hardly a single place…...

Conda + Google Colab

Towards Data Science

Conda is the recommended environment and package management solution for a number of popular data science tools including Pandas, Scikit-Learn, PyTorch, NVIDIA Rapids and many others. Conda also…

Introducing Conda Environments

Python in Plain English

Anaconda is a free distribution of the Python programming language. As the most popular Python distribution platform, it has over 30 million users worldwide. Anaconda makes it easy to install Python, ...

Conda Development Environment for Python

Python in Plain English

Conda is an open-source package management and environment management system that can be used to create different, isolated coding environments. With Conda, you can create separate environments for sp...

Conda: essential concepts and tricks

Towards Data Science

In this blog post, I will describe what conda is, and how to use it effectively, whether it is the first time you look at it or you are a seasoned user. While in the latter case many things will be…

Anaconda: Introduction & Installation on Linux

Python in Plain English

Anaconda is one of several python and R programming language distributions which was formerly known as Continuum Analytics. It is used for scientific computing, data science, machine learning and…

Publish a python package to Conda

Analytics Vidhya

Conda is a python package manager similar to pip. If you are working on building a python library then it’s highly likely you will be publishing it to Conda as well. Otherwise, Conda users won’t…

13 Conda Commands for Data Scientists

Towards Data Science

Conda is the most common tool to create a virtual environment and manage packages for data scientists using Python. Unfortunately, it's not easy to find the most useful commands for using conda and pi...

An Overview of The Anaconda Distribution

Towards Data Science

Anaconda is an amazing collection of scientific Python packages, tools, resources, and IDEs. This package includes many important tools that a Data Scientist can use to harness the incredible force…

Don’t Let Conda Eat Your Hard Drive

Python in Plain English

If you’re an Anaconda user, you know that conda environments help you manage package dependencies, avoid compatibility conflicts, and share your projects with others. Unfortunately, they can also take...