#Miniconda vs anaconda install#
#Miniconda vs anaconda software#
#Miniconda vs anaconda code#

You can call a function of a library however, a framework calls your function. They are composed of libraries but the main difference is different.

#Miniconda vs anaconda software#

What is a framework?įrameworks let you build software tools by making the coding process easier and more efficient. To see the difference between them, you can visit this website. You can build websites and web applications with them.

#Miniconda vs anaconda install#

Here are some examples with both pip and conda: pip install pandas conda install pandas pip install tensorflow -upgrade conda update scikit-learn pip uninstall scikit-learn conda remove scikit-learn What are Django and Flask? So, pip is for any Python environment whereas conda is for Conda environments that are the programs under Anaconda. It manages (install, upgrade, remove, etc.) Python packages in any Python virtual environment. A package manager makes it easy to install, upgrade, remove packages to a virtual environment.Ĭonda makes it easy to manage Python and R packages to Conda environments. It is an environment and package manager.

When many packages come together, they build libraries.Ī package manager also manages the libraries because libraries are the collections of packages. You can write your own modules and packages. Packages are a set of modules that contain scripts and functions. What is the difference between a package and a library? Numpy and matplotlib are some other library examples. You can manage your data easily with Pandas and model your data with Scikit Learn and Tensorflow. They are Python libraries that are very helpful for data analysis and machine learning. What are Pandas, Scikit Learn, and Tensorflow? In short, P圜harm is for general use whereas Anaconda programs are specifically for science. “It is an exciting time for developers who want to do data science in an IDE they know and love.” Here is the comment of Scott Collison, the CEO of Anaconda, about this integration: It was not under Anaconda originally but they have integrated. P圜harm is a very popular IDE among developers because it has strong debug and refactoring options. You can use it for not only data science but multiple purposes such as web development and desktop app development. Below is a screenshot from my Anaconda Navigator. You can manage the programs and all other features of Anaconda. You can open Jupyter Notebooks on multiple web tabs but if you are used to using IDEs, it might seem more user-friendly to use JupyterLab. It lets you collect multiple Jupyter Notebooks under one tab. It is very interactive and lets you run partial codes. You can also call it a web application under Anaconda.

#Miniconda vs anaconda code#

It is a web-based program under Anaconda distribution and it let you code Python. So if you want to continue on data science, learn more about Anaconda but if you want to build an app (that doesn’t include data science) with Python, don’t think about Anaconda much.

These programs in Anaconda are specialized in data science (e.g. Jupyter Notebook and Spyder are two of these programs. It may contain more than one program in it.Ĭheck this link for a longer answer for what Python Distribution is.Īnaconda contains multiple programs that let you use Python. A Python distribution is a program that allows you to use Python. It is a Python (and also R) distribution.