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KUMAR - Python Beginner To Pro: Python Tutorial, File Handling, Python NumPy, Python Matplotlib, Python SciPy, Machine Learning, Python MySQL,Python MySQL, Python Reference, Module Reference, Python Examples

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Python
Beginner To Pro
Every topics with unique Examples
In this book you will learn from A to Z in Python such as Python Tutorial, File Handling, Python NumPy, Python Matplotlib, Python SciPy, Machine Learning, Python MySQL,Python MySQL, Python Reference, Module Reference, Python Examples And more.
N KRISHNA KUMAR
Table Of Content
Python Introduction
Python is a popular programming language. Which was created created by Guido van Rossum, and released in 1991.
It is used for:
web development (server-side),
software development,
mathematics,
system scripting.
What can Python do?
Python can be used on a server to create web applications.
Python can be used alongside software to create workflows.
Python can connect to database systems. It can also read and modify files.
Python can be used to handle big data and perform complex mathematics.
Python can be used for rapid prototyping, or for production-ready software development.
Why Python?
Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
Python has a simple syntax similar to the English language.
Python has syntax that allows developers to write programs with fewer lines than some other programming languages.
Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.
Python can be treated in a procedural way, an object-oriented way or a functional way.
Good to know
The most recent major version of Python is Python 3, which we shall be using in this tutorial. However, Python 2, although not being updated with anything other than security updates, is still quite popular.
In this tutorial Python will be written in a text editor. It is possible to write Python in an Integrated Development Environment, such as Thonny, Pycharm, Netbeans or Eclipse which are particularly useful when managing larger collections of Python files.
Python Syntax compared to other programming languages
Python was designed for readability, and has some similarities to the English language with influence from mathematics.
Python uses new lines to complete a command, as opposed to other programming languages which often use semicolons or parentheses.
Python relies on indentation, using whitespace, to define scope; such as the scope of loops, functions and classes.
Python Getting Started
To check if you have python installed on a Windows PC, search in the start bar for Python or run the following on the Command Line (cmd.exe):
C:\Users\ Your Name >python --version
To check if you have python installed on a Linux or Mac, then on linux open the command line or on Mac open the Terminal and type:
python --version
Python Quickstart
Python is an interpreted programming language, this means that as a developer you write Python (.py) files in a text editor and then put those files into the python interpreter to be executed.
The way to run a python file is like this on the command line:
C:\Users\ Your Name >python helloworld.py
Where "helloworld.py" is the name of your python file.
Let's write our first Python file, called helloworld.py, which can be done in any text editor.
Example:helloworld.py
print ( "Hello, World!" )
Simple as that. Save your file. Open your command line, navigate to the directory where you saved your file, and run:
C:\Users\ Your Name >python helloworld.py
The output should read:
Hello, World!
Congratulations, you have written and executed your first Python program.
The Python Command Line
To test a short amount of code in python sometimes it is quickest and easiest not to write the code in a file. This is made possible because Python can be run as a command line itself.
Type the following on the Windows, Mac or Linux command line:
C:\Users\ Your Name >python
Or, if the "python" command did not work, you can try "py":
C:\Users\ Your Name >py
From there you can write any python, including our hello world example from earlier in the tutorial:
C:\Users\ Your Name >python
Python 3.6.4 (v3.6.4:d48eceb, Dec 19 2017, 06:04:45) [MSC v.1900 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> print("Hello, World!")
Which will write "Hello, World!" in the command line:
C:\Users\ Your Name >python
Python 3.6.4 (v3.6.4:d48eceb, Dec 19 2017, 06:04:45) [MSC v.1900 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> print("Hello, World!")
Hello, World!
Whenever you are done in the python command line, you can simply type the following to quit the python command line interface:
exit()
Python Syntax
Execute Python Syntax
As we learned in the previous page, Python syntax can be executed by writing directly in the Command Line:
>>> print("Hello, World!")
Hello, World!
Or by creating a python file on the server, using the .py file extension, and running it in the Command Line:
C:\Users\ Your Name >python myfile.py
Python Indentation
Indentation refers to the spaces at the beginning of a code line.
Where in other programming languages the indentation in code is for readability only, the indentation in Python is very important.
Python uses indentation to indicate a block of code.
Example
if > :
print ( "Five is greater than two!" )
Python will give you an error if you skip the indentation:
Example
Syntax Error:
if > :
print ( "Five is greater than two!" )
The number of spaces is up to you as a programmer, but it has to be at least one.
Example
if > :
print ( "Five is greater than two!" )
if > :
print ( "Five is greater than two!" )
You have to use the same number of spaces in the same block of code, otherwise Python will give you an error:
Example
Syntax Error:
if > :
print ( "Five is greater than two!" )
print ( "Five is greater than two!" )
Python Variables
In Python, variables are created when you assign a value to it:
Example
Variables in Python:
x =
y = "Hello, World!"
Python has no command for declaring a variable.
You will learn more about variables in the Python chapter.
Comments
Python has commenting capability for the purpose of in-code documentation.
Comments start with a #, and Python will render the rest of the line as a comment:
Example
Comments in Python:
#This is a comment.
print ( "Hello, World!" )
Python Comments
Comments can be used to explain Python code.
Comments can be used to make the code more readable.
Comments can be used to prevent execution when testing code.
Creating a Comment
Comments starts with a # , and Python will ignore them:
Example
#This is a comment
print ( "Hello, World!" )
Comments can be placed at the end of a line, and Python will ignore the rest of the line:
Example
print ( "Hello, World!" ) #This is a comment
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