TSSFL TECHNOLOGY STACK

We list and show how to install some regarded most useful Scientific Python Distributions which are central for scientific computing.

Note: Python packages can just be installed and uninstalled using pip. So you can use pip install or sudo apt to install packages in systems like Ubuntu Linux.

Firstly, install pip for Python 2:



or install pip for python 3:


depending on which version of Python you use.

To upgrade pip, execute
Or

1. NumPy

NumPy is the fundamental package for scientific computing with Python. It contains several tools, functions and objects, and also codes written in C++/C and Fortran can easily be integrated with it. See more, http://www.numpy.org/

You can install python-numpy in Ubuntu Debian by scripting
2. SciPy

SciPy is an open source Python library used by scientists, analysts, and engineers for scientific and technical computing.

Install it in Ubuntu or Debian distribution:
Or
for python3.x

3. SciTools

SciTools is an additional scientific computing functionality in Python (extensions to NumPy/SciPy++). It contains many useful tools for scientific computing in Python. SciTools is built on top of other widely used packages such as NumPy, SciPy, ScientificPython, Matlotlib, Gnuplot, VisIt.

You can easily install this package in Ubuntu Debian via Terminal by executing
If you have Anaconda, SciTools is available as a conda package. To install, code
For more information about SciTools, visit https://github.com/hplgit/scitools

4. Ipython

IPython is a command shell (Terminal and Qt-based) for interactive computing in multiple programming languages, originally developed for the Python programming language, that offers introspection, rich media, shell syntax, tab completion, and history.

You can install Ipython in Ubuntu via Terminal as follows:
If pip is the old version, you can upgrade it by using the command
If you have Anaconda, Install/update Ipython available as a conda package:
See more about Ipython: https://ipython.org/install.html

5. Matplotlib

Matplotlib is a scientific plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI (graphical user-interface) toolkits like wxPython, Qt, or GTK+. Read more: https://en.wikipedia.org/wiki/Matplotlib

If you have Anaconda, miniconda or Enthought distribution (Canopy), Matplotlib is already available in these packages. You can update it via Terminal as follows:
If you are on Linux, you can use Synaptic Package Manager to install python-matplotlib. Matplotlib is packaged for almost every major Linux distribution.

It easily installs in Ubuntu via command line:
6. Gnuplot

Gnuplot is a portable command-line driven graphing utility for Linux, OS/2, MS Windows, OSX, VMS, and many other platforms. See more: http://www.gnuplot.info (see demos as well: http://gnuplot.sourceforge.net/demo/)

Install Gnuplot in Ubuntu via Terminal:
Or install it as Python Anaconda package
7. Install Python development package (usually required as a dependency by some software, e.g., Python Healpy)
8. Cython

Look at http://docs.cython.org for installation procedure.

For more information on most famous Scientific Python Distributions, visit: http://www.scipy.org/install.html, http://matplotlib.org/users/installing.html,

See also:
https://www.tssfl.com/viewtopic.php?f=29&t=4377,

https://www.tssfl.com/viewtopic.php?f=29&t=1747

Check examples how to use python matplotlib. See also colors in matplotlib.

Can the J programming language https://www.jsoftware.com replace Numpy?

Upgrade pip for the latest version of python3.11 in Ubuntu in 2023:

Install openpyxl:

Install kaleido package which is required for image export using the kaleido engine: