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Python Tutorial


For newcomers and beginners, Python is incredibly easy to learn and use because of its simplified syntax with an emphasis on natural language.

Python is the most preferred choice because it is well known for its speed, reliability, and efficiency, elegant syntax and dynamic typing.

About python

Van Rossum started developing the new script in the late 1980s and finally introduced the first version of that programming language in 1991. This initial release has module system of Modula-3. Later on, this programming language was named ‘Python’. Python is a robust programming language and provides an easy usage of the code lines, maintenance can be handled in a great way, and debugging can be done easily too. The syntax in Python helps the programmers to do coding in fewer steps.

Why to prefer Python

Ask any Python developer — or anyone that’s ever used the language — and they’ll agree it’s speedy, reliable and efficient.

Python is interpreted

It is processed at run time by the interpreter. You do not need to compile your program before executing it as we do in PHP and PERL


The Python language has diversified applications in the software development companies such as in gaming, web frameworks and applications, language development, prototyping, graphic design applications, etc.

Major versions Python 2 and Python 3

Let’s get Started…

Introduction to Python Programming
Installation of Python

First Python Program

        Python IDLE as a Calculator

Modes of Execution

Comparison of Python with C & Java

Compiler Vs Interpreter
Input/Output functions

Conditional Statements

simple if


nested if


nested if-else

Data Types (Numbers, Strings, Lists, Tuples, Dictionaries)



Lists Nested Lists in Python, List Comprehension

TuplesNested Tuples in Python

Dictionaries , Nested Dictionaries in Python


        while loop

range() function

for loop

Loop control statements (break, continue,pass)

nested loops


Lambda Functions (Anonymous Functions)

Overview of Modules

Date and Time

Calendar Module

OS Module

Exception Handling (try, except and finally)


Regular Expressions

Representation of Regular Expressions

File Handling

Renaming and Deleting Files

File Methods


Statistics Package

Internet Access



Python Interview Questions
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