What is Jupyter Notebook
If you’re a Python developer, or someone who has to interact with Python, you may be hearing or seeing the term Jupyter Notebook quite lot, while reading articles, or looking for some solution on-line.
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.
Continue reading “Install Jupyter Notebook”
What is Anaconda
is a free open-source Python distribution (as well as R programming language), intended for large-scale data processing and analysis, and scientific computing. Anaconda Python distribution is manged and developed by Continuum Analytics
Anaconda (“Anaconda Distribution”) is a free, easy-to-install package manager, environment manager, Python distribution, and collection of over 720 open source packages with free community support. Hundreds more open source packages and their dependencies can be installed with a simple “conda install [packagename]”. It’s platform-agnostic, can be used on Windows, OS X and Linux. Or even easier.
Continue reading “Anaconda on CentOS 7.x”
I decided to write this post, as I myself when for the first time tried to use conda (the package manager for Anaconda Python distribution
, the first question was in what ways conda is better then pip, and so why one should think of preferring condo over the de-facto pip. Here I have put a comprehensive post about ‘getting started with conda’ i.e. what extra condo can offer.
A short comparison
- Can only be used for Python packages.
- The supported package manger by the Python foundation, hence widely used.
- Handles library dependencies even outside Python i.e. packages for C libraries, or R packages, or really anything.
- Supports virtual environment out of the box.
- Developed to be used with Anaconda Python distribution, though can be used with the standard Python distribution – but highly not recommended.
Continue reading “conda VS pip”