MiniConda on the other hand is a lightweight Python distribution that contains the basic packages (the total number of packages is less than Anaconda but enough) that are needed for data science projects. No doubt Anaconda is the best tool for data science or data analysis but one major disadvantage of using Anaconda is that the installation procedure can take several hours to complete.Īlso if you are using a slow machine with low RAM then anaconda will definitely give you some trouble because Anaconda is a heavy-weight software.
#Install miniconda how to#
If you don’t want to use command prompt, you can use GUI-based Anaconda Navigator to install any extra libraries, create virtual environment, etc.Īlso Read: How to download NLTK corpus manually If you need to use any extra libraries you can install them by running pip install or conda install command in command prompt or Anaconda prompt respectively.
If you have a good and high-speed PC with a good amount of space, you can click here to download Anaconda software for specific python versions (Python 3, Python 2, etc.) and install it on your computer.Īnaconda has all the tools and python libraries (required for data science) like NumPy, SciPy, Matplotlib, etc. What is Anaconda?Īnaconda is the best software for machine learning with Python. Each of these tools has its own advantages and disadvantages, so it’s important to understand which one is right for you before you start installing it on your computer. There are two main contenders in the market for data analysis tool – Anaconda and MiniConda.
Create simple desktop application using python MiniConda vs Anaconda
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