update README and add scientific programming content

README.md

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 # A (not so) short introduction to numerical computing
+
+This repository contains the materials used during the numerical computing series in TuxRiders. The materials are obtained from the following sources with very minor changes and adaptation:
+
+1. [Lectures on scientific computing with Python](https://github.com/jrjohansson/scientific-python-lectures) by Robert Johansson
+2. [Practical Numerical Methods with Python](https://github.com/numerical-mooc/numerical-mooc) by Lorena A. Barba, Ian Hawke, and Bernard Knaepen
+3. [An Easy Introduction to Finite Element Method and Variational Formulation](https://github.com/mbarzegary/finite-element-intro) by Mojtaba Barzegari
+
+The mentioned repositores are embedded (and then partially modified) as [git subtrees](https://www.atlassian.com/git/tutorials/git-subtree) in this repository.
+
+## Table of Content
+
+### Scientific programming with Python
+
+1. [Introduction to scientific computing with Python](https://nbviewer.jupyter.org/github/TuxRiders/numerical-computing-intro/blob/main/1-scientific-programming/Lecture-0-Scientific-Computing-with-Python.ipynb)
+2. [Introduction to Python programming](https://nbviewer.jupyter.org/github/TuxRiders/numerical-computing-intro/blob/main/1-scientific-programming/Lecture-1-Introduction-to-Python-Programming.ipynb)
+3. [Numpy - multidimensional data arrays](https://nbviewer.jupyter.org/github/TuxRiders/numerical-computing-intro/blob/main/1-scientific-programming/Lecture-2-Numpy.ipynb)
+4. [SciPy - Library of scientific algorithms for Python](https://nbviewer.jupyter.org/github/TuxRiders/numerical-computing-intro/blob/main/1-scientific-programming/Lecture-3-Scipy.ipynb)
+5. [matplotlib - 2D and 3D plotting in Python](https://nbviewer.jupyter.org/github/TuxRiders/numerical-computing-intro/blob/main/1-scientific-programming/Lecture-4-Matplotlib.ipynb)
+6. [Sympy - Symbolic algebra in Python](https://nbviewer.jupyter.org/github/TuxRiders/numerical-computing-intro/blob/main/1-scientific-programming/Lecture-5-Sympy.ipynb)
+7. [Tools for high-performance computing (HPC) applications](https://nbviewer.jupyter.org/github/TuxRiders/numerical-computing-intro/blob/main/1-scientific-programming/Lecture-6B-HPC.ipynb)
+8. [Revision control software](https://nbviewer.jupyter.org/github/TuxRiders/numerical-computing-intro/blob/main/1-scientific-programming/Lecture-7-Revision-Control-Software.ipynb)
+
+### Finite difference method for (partial) differential equations
+
+
+
+### Finite element method for (partial) differential equations