Python CheatSheet

Basics

Basic syntax from the python programming language

Showing Output To User

The print function is used to display or print output as follows

print("Content that you wanna print on screen")

Taking Input From the User

The input function is used to take input from the user as follows:

var1 = input("Enter your name: ")

Empty List

This method allows you to create an empty list

my_list = []

Empty Dictionary

By putting two curly braces, you can create a blank dictionary

my_dict = {}

range Function

range function returns a sequence of numbers, eg, numbers starting from 0 to n-1 for range(0, n)

range(int_value)

Comments

Comments are used to make the code more understandable for programmers, and they are not executed by compiler or interpreter.

Single line comment

# This is a single line comment

Multi-line comment

'''This is a
multi-line
comment'''

Escape Sequence

An escape sequence is a sequence of characters; it doesn't represent itself (but is translated into another character) when used inside string literal or character. Some of the escape sequence characters are as follows:

Newline

Newline Character

\n

Backslash

It adds a backslash

\\

Single Quote

It adds a single quotation mark

\'

Tab

It gives a tab space

\t

Backspace

It adds a backspace

\b

Octal value

It represents the value of an octal number

\ooo

Hex value

It represents the value of a hex number

\xhh

Carriage Return

Carriage return or \r will just work as you have shifted your cursor to the beginning of the string or line.

\r

Strings

Python string is a sequence of characters, and each character can be individually accessed using its index.

String

You can create Strings by enclosing text in both forms of quotes - single quotes or double quotes.

variable_name = "String Data"

Slicing

Slicing refers to obtaining a sub-string from the given string. The following code will include index 1, 2, 3, and 4 for the variable named var_name

var_name[1 : 5]

isalnum() method

Returns True if all the characters in the string are alphanumeric, else False

string_variable.isalnum()

isalpha() method

Returns True if all the characters in the string are alphabets

string_variable.isalpha()

isdecimal() method

Returns True if all the characters in the string are decimals

string_variable.isdecimal()

isdigit() method

Returns True if all the characters in the string are digits

string_variable.isdigit()

islower() method

Returns True if all characters in the string are lower case

string_variable.islower()

isspace() method

Returns True if all characters in the string are whitespaces

string_variable.isspace()

isupper() method

Returns True if all characters in the string are upper case

string_variable.isupper()

lower() method

Converts a string into lower case equivalent

string_variable.lower()

upper() method

Converts a string into upper case equivalent

string_variable.upper()

strip() method

It removes leading and trailing spaces in the string

string_variable.strip()

##List A List in Python represents a list of comma-separated values of any data type between square brackets.

var_name = [element1, element2, ...]

index method

Returns the index of the first element with the specified value

list.index(element)

append method

Adds an element at the end of the list

list.append(element)

extend method

Add the elements of a given list (or any iterable) to the end of the current list

list.extend(iterable)

insert method

Adds an element at the specified position

list.insert(position, element)

pop method

Removes the element at the specified position and returns it

list.pop(position)

remove method

The remove() method removes the first occurrence of a given item from the list

list.remove(element)

clear method

Removes all the elements from the list

list.clear()

count method

Returns the number of elements with the specified value

list.count(value)

reverse method

Reverses the order of the list

list.reverse()

sort method

Sorts the list

list.sort(reverse=True|False)

Tuples

Tuples are represented as comma-separated values of any data type within parentheses.

Tuple Creation

variable_name = (element1, element2, ...)

count method

It returns the number of times a specified value occurs in a tuple

tuple.count(value)

index method

It searches the tuple for a specified value and returns the position.

tuple.index(value)

Sets

A set is a collection of multiple values which is both unordered and unindexed. It is written in curly brackets.

Set Creation: Way 1

var_name = {element1, element2, ...}

Set Creation: Way 2

var_name = set([element1, element2, ...])

Set Methods

Lets talk about some of the methods of sets:

add() method

Adds an element to a set

set.add(element)

clear() method

Remove all elements from a set

set.clear()

discard() method

Removes the specified item from the set

set.discard(value)

intersection() method

Returns intersection of two or more sets

set.intersection(set1, set2 ... etc)

issubset() method

Checks if a set is a subset of another set

set.issubset(set)

pop() method

Removes an element from the set

set.pop()

remove() method

Removes the specified element from the set

set.remove(item)

union() method

Returns the union of two or more sets

set.union(set1, set2...)

Dictionaries

The dictionary is an unordered set of comma-separated key:value pairs, within , with the requirement that within a dictionary, no two keys can be the same.

Dictionary

<dictionary-name> = {<key>: value, <key>: value ...}

Adding Element to a dictionary

By this method, one can add new elements to the dictionary

<dictionary>[<key>] = <value>

Updating Element in a dictionary

If a specified key already exists, then its value will get updated

<dictionary>[<key>] = <value>

Deleting an element from a dictionary

del keyword is used to delete a specified key:value pair from the dictionary as follows:

del <dictionary>[<key>]

Dictionary Functions & Methods

Below are some of the methods of dictionaries

len() method

It returns the length of the dictionary, i.e., the count of elements (key: value pairs) in the dictionary

len(dictionary)

clear() method

Removes all the elements from the dictionary

dictionary.clear()

get() method

Returns the value of the specified key

dictionary.get(keyname)

items() method

Returns a list containing a tuple for each key-value pair

dictionary.items()

keys() method

Returns a list containing the dictionary's keys

dictionary.keys()

values() method

Returns a list of all the values in the dictionary

dictionary.values()

update() method

Updates the dictionary with the specified key-value pairs

dictionary.update(iterable)

Conditional Statements

The if, elif and else statements are the conditional statements in Python, and these implement selection constructs (decision constructs).

if Statement

if(conditional expression):
    statements

if-else Statement

if(conditional expression):
    statements
else:
    statements

if-elif Statement

if (conditional expression):
    statements
elif (conditional expression):
    statements
else:
    statements

Nested if-else Statement

if (conditional expression):
    if (conditional expression):
        statements
    else:
        statements
else:
    statements

Loops in Python

A loop or iteration statement repeatedly executes a statement, known as the loop body, until the controlling expression is false (0).

For Loop

The for loop of Python is designed to process the items of any sequence, such as a list or a string, one by one.

for <variable> in <sequence>:
    statements_to_repeat

While Loop

A while loop is a conditional loop that will repeat the instructions within itself as long as a conditional remains true.

while <logical-expression>:
    loop-body

Break Statement

The break statement enables a program to skip over a part of the code. A break statement terminates the very loop it lies within.

for <var> in <sequence>:
    statement1
    if <condition>:
        break
    statement2
statement_after_loop

Continue Statement

The continue statement skips the rest of the loop statements and causes the next iteration to occur.

for <var> in <sequence>:
    statement1
    if <condition> :
        continue
    statement2
    statement3
    statement4

Functions

A function is a block of code that performs a specific task. You can pass parameters into a function. It helps us to make our code more organized and manageable.

Function Definition

def my_function(parameters):
    pass #statements

File Handling

File handling refers to reading or writing data from files. Python provides some functions that allow us to manipulate data in the files.

open() function

var_name = open("file name", "opening mode")

close() function

var_name.close()

read () function

The read functions contains different methods, read(),readline() and readlines()

read() #return one big string

It returns a list of lines

readlines() #returns a list

It returns one line at a time

readline #returns one line at a time

write function

This function writes a sequence of strings to the file.

write() #Used to write a fixed sequence of characters to a file

It is used to write a list of strings

writelines()

append() function

The append function is used to append to the file instead of overwriting it. To append to an existing file, simply open the file in append mode by using 'a' as the second argument of open() as follows:

file = open("Hello.txt", "a")

Exception Handling

An exception is an unusual condition that results in an interruption in the flow of a program.

try and except

A basic try-catch block in python. When the try block throws an error, the control goes to the except block.

try:
    [Statement body block]
    raise Exception()
except Exception as e:
    [Error processing block]

Object Oriented Programming (OOPS)

It is a programming approach that primarily focuses on using objects and classes. The objects can be any real-world entities.

class

The syntax for writing a class in python

class class_name:
    pass #statements

class with a constructor

The syntax for writing a class with the constructor in python

class HuntingCoder:

    # Default constructor
    def __init__(self):
        self.name = "HuntingCoder"

    # A method for printing data members
    def print_me(self):
        print(self.name)

Creating an object

Instantiating an object can be done as follows:

<object-name> = <class-name>(<arguments>)

filter function

The filter function allows you to process an iterable and extract those items that satisfy a given condition

filter(function, iterable)

issubclass function

Used to find whether a class is a subclass of a given class or not as follows

issubclass(obj, classinfo) # returns true if obj is a subclass of classinfo

Iterators and Generators

Here are some of the advanced topics of the Python programming language like iterators and generators

Iterator

Used to create an iterator over an iterable

iter_list = iter(['Hunting', 'Coder', 'Python']) 
print(next(iter_list)) 
print(next(iter_list)) 
print(next(iter_list))

Generator

Used to generate values on the fly

# A simple generator function
def my_gen():
    n = 1
    print('This is printed first')
    # Generator function contains yield statements
    yield n
    n += 1
    print('This is printed second')
    yield n
    n += 1
    print('This is printed at last')
    yield n

Decorators

Decorators are used to modifying the behavior of a function or a class. They are usually called before the definition of a function you want to decorate. property Decorator (getter)

@property
def name(self):
    return self.__name

setter Decorator

It is used to set the property 'name'

@name.setter
def name(self, value):
    self.__name=value

deleter Decorator

It is used to delete the property 'name'

@name.deleter #property-name.deleter decorator
def name(self, value):
    print('Deleting..')
    del self.__name