This blog is in continuation of my last blog . Please SUBSCRIBE to YouTube channel Embedkari to access detail video related to this and other important topics.
I discussed about data structure techniques Dictionary and Set. Understanding the difference between all data structure techniques. I also discussed about different installation options and overview of Python world.
Key Takeaway
Today I will further compare Python control and loop commands with C. I will discuss working of Jupyter notebook and will provide brief introduction of Python core libraries using the same.
Control Statements
if condition

In C, the general format is
if (testExpression1)
{ // statement(s) }
else if(testExpression2)
{ // statement(s) }
else if (testExpression 3)
{ // statement(s) }
………………………
else
{ // statement(s) }
conditional operators are ==, !=, >=, <=

In Python, the general format is
if testExpression1 :
// statement(s)
elif testExpression2:
// statement(s)
elif testExpression3:
// statement(s)
……………………..
else :
// statement(s)
for loop
In C, the general format is
for (initialize; check_Condition; Modify)
{ // statement }
In Python, the general format is
for val in sequence:
//statements
Ex: for x in range (1,5) :
y – x*2
While
In C, the general format is
while(condition) {
//statement(s);
}
In Python, the general format is
while testExpression1 :
// statement(s)
Use of break and continue is same as in C
Python Core Libraries :
SciPy is a Python based opensource software ecosystem for mathematics, science, and engineering. It has following core packages :
 NumPy Ndimensional array package(BSD License) . It is used in scientific computations where large multidimensions arrays,matrices and high level mathematic functions are used.
 SciPy Library (License) utilizes NumPy fast array manipulation . It provides efficient routines for integration and optimization.
 matplotlib ( Python Software Foundation(PSF) License). It is Python 2D plotting library to generate publication quality figures. Here is one example to draw Dolphins. One can refer to Artist API for detail. Matplotlib was originally written as a Python alternative for MATLAB users, and much of its syntax reflects that fact.
 SymPy (BSD License) is Python library for symbolic mathematics. It aims to become a fullfeatured computer algebra system (CAS). Here is an example of syntax tree used in CAS for (a+b)*c where * is root(Parent) and (a+b),C are operands(children)
 Pandas (BSD License) provides data structure and data analysis tools.
 IPython (BSD License) is interactive shell and supports data visualization
Anaconda Navigator here.
JupyterLab is an interactive development environment for working with notebooks, code and data. However Jupyter notebook is recommended for beginners.
conda install c anaconda anacondanavigator
I take Jupyter notebook analogy as the modern ADVANCED Software Scientific Calculator. Lets check this in notebook itself.
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