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Python:- Python is an interpreted, object-oriented, high-level programming
language with dynamic semantics developed by Guido van Rossum.
Python is a computer programming language often used to build websites
and software, automate tasks, and conduct data analysis. Python is a
general-purpose language, meaning it can be used to create a variety of
different programs and isn't specialized for any specific problems.

2. Excellence Technology is one of the top reputed
ISO certified software development and industrial
training company in Mohali. Excellence Technology
is a professional company providing web education
and advanced 6 months and weeks industrial
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development company.
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build career in IT industry
Python is a dynamic, high-level, free open
source, and interpreted programming language.
It supports object-oriented programming as
well as procedural-oriented programming. In
Python, we don't need to declare the type of
variable because it is a dynamically typed
language

3. Python is a widely used general-purpose, high level programming language. It
was created by Guido van Rossum in 1991 and further developed by the
Python Software Foundation. It was designed with an emphasis on code
readability, and its syntax allows programmers to express their concepts in
fewer lines of code.
Python is a programming language that lets you work quickly and integrate
systems more efficiently.
Introduction to Python
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.

4. Python Tokens
Token:-
A token is the smallest individual unit in a python program. All statements
and instructions in a program are built with tokens. The various tokens in
python are :
Keywords are words that have some special meaning or significance in a
programming language. They can’t be used as variable names, function
names, or any other random purpose. They are used for their special
features. In Python we have 33 keywords some of them are: try, False, True,
class, break, continue, and, as, assert, while, for, in, raise, except, or, not, if,
elif, print, import, etc.
Keyword:-

5. Identifiers are the names given to any variable, function, class, list, methods,
etc. for their identification. Python is a case-sensitive language and it has some
rules and regulations to name an identifier. Here are some rules to name an
identifier:-
As stated above, Python is case-sensitive. So case matters in naming identifiers.
And hence geeks and Geeks are two different identifiers.
Identifier starts with a capital letter (A-Z) , a small letter (a-z) or an underscore(
_ ). It can’t start with any other character.
Except for letters and underscore, digits can also be a part of identifier but
can’t be the first character of it.
Any other special characters or whitespaces are strictly prohibited in an
identifier.
An identifier can’t be a keyword.
For Example: Some valid identifiers
Identifiers:-

6. Literals are the fixed values or data items used in a source code. Python
supports different types of literals such as:
Literals:-
String Literals
Character Literals
Numeric Literals
Boolean Literals
Special Literals
Literals Collections

7. These are the tokens responsible to perform an operation in an
expression. The variables on which operation is applied are called
operands. Operators can be unary or binary. Unary operators are the ones
acting on a single operand like complement operator, etc. While binary
operators need two operands to operate.
Operators
These are the symbols that used in Python to organize the structures,
statements, and expressions. Some of the Punctuators are: [ ] { } ( ) @ -
= += *= //= **== = , etc.
Punctuators

8. Data Stucture
Data Stucture:-
Data Structures are a way of organizing data so that it can be
accessed more efficiently depending upon the situation. Data
Structures are fundamentals of any programming language around
which a program is built. Python helps to learn the fundamental of
these data structures in a simpler way as compared to other
programming languages.
list
set
tuples
dictionary

9. List:-
Python Lists are just like the arrays, declared in other languages which is
an ordered collection of data. It is very flexible as the items in a list do not
need to be of the same type.
Tuple:-
Python Tuple is a collection of Python objects much like a list but Tuples are
immutable in nature i.e. the elements in the tuple cannot be added or
removed once created. Just like a List, a Tuple can also contain elements of
various types.
In Python, tuples are created by placing a sequence of values separated by
‘comma’ with or without the use of parentheses for grouping of the data
sequence.

10. Dictionary:-
Python dictionary is like hash tables in any other language with the time
complexity of O(1). It is an unordered collection of data values, used to store
data values like a map, which, unlike other Data Types that hold only a single
value as an element, Dictionary holds the key:value pair. Key-value is provided
in the dictionary to make it more optimized.
Set:-
Python Set is an unordered collection of data that is mutable and does not
allow any duplicate element. Sets are basically used to include membership
testing and eliminating duplicate entries. The data structure used in this is
Hashing, a popular technique to perform insertion, deletion, and traversal in
O(1) on average.

12. Python is a widely-used general-purpose, high-level programming language. It
was initially designed by Guido van Rossum in 1991 and developed by Python
Software Foundation. It was mainly developed for emphasis on code
readability, and its syntax allows programmers to express concepts in fewer
lines of code.
In the late 1980s, history was about to be written. It was that time when
working on Python started.
The language was finally released in 1991. When it was released, it used a lot
fewer codes to express the concepts, when we compare it with Java, C++ & C.
Its design philosophy was quite good too. Its main objective is to provide code
readability and advanced developer productivity. When it was released it had
more than enough capability to provide classes with inheritance, several core
data types exception handling and functions.