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Summary Python QUICK Guide

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Python Quick Guide The **Python Quick Guide** is an essential resource for both beginners and experienced programmers who need a fast, concise reference to Python's core concepts. This guide focuses on the most important aspects of Python programming, offering a clear and structured overview of the language's syntax, built-in functions, and libraries, making it perfect for quick revision or on-the-go learning. The guide covers **Python Fundamentals**, such as data types (strings, lists, dictionaries), control structures (if-else, loops), and functions, providing you with the foundational knowledge required to write clean and efficient code. You'll also find sections dedicated to advanced topics like **list comprehensions**, **lambda functions**, and **error handling** to help you streamline your code. For those working with data, the guide includes key insights into **data manipulation libraries** like **NumPy** and **Pandas**, helping you load, analyze, and transform datasets effortlessly. It also touches on **data visualization** using **Matplotlib** and **Seaborn**, enabling you to create clear, informative charts with minimal code. Additionally, this quick guide offers useful tips for **debugging**, **code optimization**, and **best practices**, ensuring that you follow efficient coding standards. Each section includes practical examples to illustrate how concepts are applied in real-world scenarios. Whether you’re a student preparing for exams, a developer working on a project, or simply looking for a reference tool, the **Python Quick Guide** is your go-to resource for rapid learning and problem-solving.

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PYTHON QUICK GUIDE
http://www.tutorialspoint.com/python/python_quick_guide.htm Copyright © tutorialspoint.com


PYTHON OVERVIEW:
Python is a high-level, interpreted, interactive and object oriented-scripting language.

Python is Interpreted

Python is Interactive

Python is Object-Oriented

Python is Beginner's Language

Python was developed by Guido van Rossum in the late eighties and early nineties at the National
Research Institute for Mathematics and Computer Science in the Netherlands.

Python's feature highlights include:

Easy-to-learn

Easy-to-read

Easy-to-maintain

A broad standard library

Interactive Mode

Portable

Extendable

Databases

GUI Programming

Scalable

GETTING PYTHON:
The most up-to-date and current source code, binaries, documentation, news, etc. is available at
the official website of Python:

Python Official Website : http://www.python.org/

You can download the Python documentation from the following site. The documentation is
available in HTML, PDF, and PostScript formats.

Python Documentation Website : www.python.org/doc/

FIRST PYTHON PROGRAM:
Interactive Mode Programming:
Invoking the interpreter without passing a script file as a parameter brings up the following
prompt:

root# python
Python 2.5 (r25:51908, Nov 6 2007, 16:54:01)
[GCC 4.1.2 20070925 (Red Hat 4.1.2-27)] on linux2
Type "help", "copyright", "credits" or "license" for more info.
>>>

,Type the following text to the right of the Python prompt and press the Enter key:

>>> print "Hello, Python!";

This will produce following result:

Hello, Python!


PYTHON IDENTIFIERS:
A Python identifier is a name used to identify a variable, function, class, module, or other object.
An identifier starts with a letter A to Z or a to z or an underscore (_) followed by zero or more
letters, underscores, and digits (0 to 9).

Python does not allow punctuation characters such as @, $, and % within identifiers. Python is a
case sensitive programming language. Thus Manpower and manpower are two different
identifiers in Python.

Here are following identifier naming convention for Python:

Class names start with an uppercase letter and all other identifiers with a lowercase letter.

Starting an identifier with a single leading underscore indicates by convention that the
identifier is meant to be private.

Starting an identifier with two leading underscores indicates a strongly private identifier.

If the identifier also ends with two trailing underscores, the identifier is a language-defined
special name.

RESERVED WORDS:
The following list shows the reserved words in Python. These reserved words may not be used as
constant or variable or any other identifier names.


and exec not

assert finally or

break for pass

class from print

continue global raise

def if return

del import try

elif in while

else is with

except lambda yield



LINES AND INDENTATION:
One of the first caveats programmers encounter when learning Python is the fact that there are no
braces to indicate blocks of code for class and function definitions or flow control. Blocks of code
are denoted by line indentation, which is rigidly enforced.

, The number of spaces in the indentation is variable, but all statements within the block must be
indented the same amount. Both blocks in this example are fine:

if True:
print "True"
else:
print "False"

However, the second block in this example will generate an error:

if True:
print "Answer"
print "True"
else:
print "Answer"
print "False"


MULTI-LINE STATEMENTS:
Statements in Python typically end with a new line. Python does, however, allow the use of the line
continuation character (\) to denote that the line should continue. For example:

total = item_one + \
item_two + \
item_three

Statements contained within the [], {}, or () brackets do not need to use the line continuation
character. For example:

days = ['Monday', 'Tuesday', 'Wednesday',
'Thursday', 'Friday']


QUOTATION IN PYTHON:
Python accepts single ('), double (") and triple (''' or """) quotes to denote string literals, as long as
the same type of quote starts and ends the string.

The triple quotes can be used to span the string across multiple lines. For example, all the
following are legal:

word = 'word'
sentence = "This is a sentence."
paragraph = """This is a paragraph. It is
made up of multiple lines and sentences."""


COMMENTS IN PYTHON:
A hash sign (#) that is not inside a string literal begins a comment. All characters after the # and
up to the physical line end are part of the comment, and the Python interpreter ignores them.

#!/usr/bin/python

# First comment
print "Hello, Python!"; # second comment

This will produce following result:

Hello, Python!

A comment may be on the same line after a statement or expression:

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