Python Tutorial

What is Python?

  • Python is an open source, object-oriented, high-level powerful programming language.
  • Developed by Guido van Rossum in the early 1990s. Named after Monty Python
  • Python runs on many Unix variants, on the Mac, and on Windows 2000 and later.
  • Available for download from http://www.python.org.


Python Program

  • Python programs are composed of modules
  • Modules contain statements
  • Statements contain expressions
  • Expressions create and process objects

Features of Python

Open source: Python is publicly available open source software, any one can use source code that doesn't cost anything.

Easy-to-learn: Popular (scripting/extension) language, clear and easy syntax, no type declarations, automatic memory management, high-level data types and operations, design to read (more English like syntax) and write (shorter code compared to C, C++, and Java) fast.

High-level Language:
High-level language (closer to human) refers to the higher level of concept from machine language (for example assembly languages). Python is an example of a high-level language like C, C++, Perl, and Java with low-level optimization.

High level languages are portable, which means they are able to run across all major hardware and software platforms with few or no change in source code. Python is portable and can be used on Linux, Windows, Macintosh, Solaris, FreeBSD, OS/2, Amiga, AROS, AS/400 and many more.

Object-Oriented: Python is a full-featured object-oriented programming language, with features such as classes, inheritance, objects, and overloading.

Python is Interactive :
Python has an interactive console where you get a Python prompt (command line) and interact with the interpreter directly to write and test your programs. This is useful for mathematical programming.

Interpreted : Python programs are interpreted, takes source code as input, and then compiles (to portable byte-code) each statement and executes it immediately. No need to compiling or linking

Extendable : Python is often referred to as a "glue" language, meaning that it is capable to work in mixed-language environment. The Python interpreter is easily extended and can add a new built-in function or modules written in C/C++/Java code.

Libraries : Databases, web services, networking, numerical packages, graphical user interfaces, 3D graphics, others.

Supports :Support from online Python community

Python Interpreter

  • In interactive mode, type Python programs and the interpreter displays the result:
  • Type python into your terminal's command line
  • After a short message, the >>> symbol will appear
  • The above symbol signals the start of a Python interpreter's command line.
  • Python interpreter evaluates inputs (For example >>> 4*(6-2) return 16)

How stable is Python?

Very stable. New, stable releases have been coming out roughly every 6 to 18 months since 1991, and this seems likely to continue. Currently there are usually around 18 months between major releases.

The latest stable releases can always be found on the Python download page. There are two recommended production-ready versions at this point in time, because at the moment there are two branches of stable releases: 2.x and 3.x.


The name Python was selected from "Monty Python's Flying Circus" which was a British sketch comedy series created by the comedy group Monty Python and broadcast by the BBC from 1969 to 1974.

Python was created in the early 1990s by Guido van Rossum at the National Research Institute for Mathematics and Computer Science in Netherlands.

Python was created as a successor of a language called ABC (All Basic Code) and released publicly in1991. Guido remains Python's principal author, although it includes many contributions from active user community.

Between 1991 and 2001 there are several versions released, current stable release is 3.2. In 2001 the Python Software Foundation (PSF) was formed, a non-profit organization created specifically to own Python-related Intellectual Property. Zope Corporation is a sponsoring member of the PSF.

All most all Python releases are Open Source. To see the details of release versions and licence agreement of Python check here.

Python Language Overview:

Python Readability - Variables:


is_valid = True


$isValid = true;


let isValid = true;

Java / C# / C++ (Strongly Typed Languages):

Boolean isValid = true

Python Readability - Control Structures:


price = 200
if price == 15:
    """ Do something"""
elif price == 30:
    """Do something else"""
    """ Do something else""" 


$price = 200;
if ($price == 15){
} elseif ($price == 30){
} else {
    // Here 

Python Readability - Ternary:


price = 200 if True else 0
print (price)
# 200


$price = (true) ? 200 : 0;
print $price;
# 200


price = if true then 200 else 0 end
# 200


let price = true ? 200 : 0;
# 200

A simple program written in C++, C, Java and Python. All program prints "Hello world".

Python Program:

print ( "Hello World")

Java Program:

public class Hello
   public static void main(String argv[])
        System.out.println(“Hello, World!”);

C++ Program:

#include <iostream>
int main() 
    std::cout << "Hello World" << std::endl;
    return 0;

C Program:

#include <stdio.h>
int main(int argc, char ** argv) 
    printf(“Hello, World!\n”); 

Python Readability - Classes:


class MotorCar(object):
    def __init__(self):
        """Base class constructor"""
class Car(MotorCar):
    def __init__(self):
        """Class constructor"""
        super(Car, self).__init__()
    def drive(self):
        """Drive the car"""
red_car = Car()


// /src/Transport/MotorCar.php

namespace Transport;

class MotorCar
     * Base class constructor
    public function __construct()
        # ...

// /src/Transport/Car.php

namespace Transport;

class Car extends MotorCar
    public function __construct()
     * Drive the car
    public function drive()
        # ...

$redCar = new Car();

Python Environment:

AIX AROS AS/400 (OS/400) BeOS
MorphOS MS-DOS OS/2 OS/390 and z/OS
Palm OS PlayStation and PSP Psion QNX
RISC OS Series 60 Solaris VMS
Windows CE or Pocket PC HP-UX Linux  

Major uses of Python:

  • System utilities (system admin tools, command line programs).
  • Web Development.
  • Graphical User Interfaces (Tkinter, gtk, Qt).
  • Internet scripting.
  • Embedded scripting.
  • Database access and programming.
  • Game programming.
  • Rapid prototyping and development.
  • Distributed programming

Organizations Using Python (sector wise)

Web Development : Yahoo Maps, Yahoo Groups, Google, Zope Corporation, Ultraseek, Linux Weekly News, ElasticHosts Cloud Servers, Mojam.com, hunch, Shopzilla, Movieplayer.it, Multiplayer.it.

Games: Battlefield 2, Crystal Space, Star Trek Bridge Commander, The Temple of Elemental Evil, Vampire: The Masquerade: Bloodlines, Civilization 4, QuArK (Quake Army Knife)

Graphics : Industrial Light & Magic, Walt Disney Feature Animation, HKS, Inc. (ABAQUS/CAE), RoboFog, Caligari Corporation, Blender 3D, Jasc Software, Paint Shop Pro.

Financial : Altis Investment Management, ABN AMRO Bank, Treasury Systems, Bellco Credit Union, Journyx Timesheet and Resource Management Software.

Science : National Weather Service, Radar Remote Sensing Group, Applied Maths, Biosoft, The National Research Council of Canada, Los Alamos National Laboratory (LANL) Theoretical Physics Division, AlphaGene, Inc., LLNL, NASA, Swedish Meteorological and Hydrological Institute (SMHI), Environmental Systems Research Institute (ESRI), Objexx Engineering, Nmag Computational Micromagnetics

Electronic Design Automation: Ciranova, Productivity Design Tools, Object Domain, Pardus, Red Hat, SGI, Inc., MCI Worldcom, Nokia,

Education : University of California, Irvine, Smeal College of Business, The Pennsylvania State University, New Zealand Digital Library, IT Certification Exam preparation, SchoolTool,

Business Software : Raven Bear Systems Corporation, Thawte Consulting, Advanced Management Solutions Inc., IBM, Arakn<E9>, RealNetworks, dSPACE, Escom, The Tiny Company, Nexedi, Piensa Technologies - Bufete Consultor de Mexico, Nektra, WuBook.

To see the details of the above organizations check here.

Is Python a good language for beginning programmers?

Yes. It is still common to start students with a procedural and statically typed language such as Pascal, C, or a subset of C++ or Java. Students may be better served by learning Python as their first language. Python has a very simple and consistent syntax and a large standard library and, most importantly, using Python in a beginning programming course lets students concentrate on important programming skills such as problem decomposition and data type design. With Python, students can be quickly introduced to basic concepts such as loops and procedures. They can probably even work with user-defined objects in their very first course.

For a student who has never programmed before, using a statically typed language seems unnatural. It presents additional complexity that the student must master and slows the pace of the course. The students are trying to learn to think like a computer, decompose problems, design consistent interfaces, and encapsulate data. While learning to use a statically typed language is important in the long term, it is not necessarily the best topic to address in the students’ first programming course.

Many other aspects of Python make it a good first language. Like Java, Python has a large standard library so that students can be assigned programming projects very early in the course that do something. Assignments aren’t restricted to the standard four-function calculator and check balancing programs. By using the standard library, students can gain the satisfaction of working on realistic applications as they learn the fundamentals of programming. Using the standard library also teaches students about code reuse. Third-party modules such as PyGame are also helpful in extending the students’ reach.

Features of the w3resource Python tutorials

In this series of tutorials we have covered Python 3.2 and in detail. While creating this, we have take care that learners can master the basics of Python.

Here is a list of features we have included in all of the chapters :

1. We have started from beginning i.e. from installation, with a clear and simple description.

2. We have clearly define Syntax / Usage so that you can remember how to write it.

3. Example(s) to show how the associated concept is implemented.

4. We have shown the Output of the usage.

5. View the example in a browser.

6. Pictorial presentation to help you to understand the concept better.

7. You may refer Python 3.2 Manual along with this tutorial.

8. Exercises with explanation and solution.

Next: Python 2 vs 3

Test your Python skills with w3resource's quiz

Python: Tips of the Day

Understanding slice notation:

It's pretty simple really:

a[start:stop]  # items start through stop-1
a[start:]      # items start through the rest of the array
a[:stop]       # items from the beginning through stop-1
a[:]           # a copy of the whole array

There is also the step value, which can be used with any of the above:

a[start:stop:step] # start through not past stop, by step

The key point to remember is that the :stop value represents the first value that is not in the selected slice. So, the difference between stop and start is the number of elements selected (if step is 1, the default).

The other feature is that start or stop may be a negative number, which means it counts from the end of the array instead of the beginning. So:

a[-1]    # last item in the array
a[-2:]   # last two items in the array
a[:-2]   # everything except the last two items

Similarly, step may be a negative number:

a[::-1]    # all items in the array, reversed
a[1::-1]   # the first two items, reversed
a[:-3:-1]  # the last two items, reversed
a[-3::-1]  # everything except the last two items, reversed

Python is kind to the programmer if there are fewer items than you ask for. For example, if you ask for a[:-2] and a only contains one element, you get an empty list instead of an error. Sometimes you would prefer the error, so you have to be aware that this may happen.

Relation to slice() object

The slicing operator [] is actually being used in the above code with a slice() object using the : notation (which is only valid within []), i.e.:


is equivalent to:

a[slice(start, stop, step)]

Slice objects also behave slightly differently depending on the number of arguments, similarly to range(), i.e. both slice(stop) and slice(start, stop[, step]) are supported. To skip specifying a given argument, one might use None, so that e.g. a[start:] is equivalent to a[slice(start, None)] or a[::-1] is equivalent to a[slice(None, None, -1)].

While the : -based notation is very helpful for simple slicing, the explicit use of slice() objects simplifies the programmatic generation of slicing.

Ref: https://bit.ly/2MHaTp7