Cheetsheet
Data Types:¶
- Numeric data types: int, float, complex
- String data types: str
- Sequence types: list, tuple, range
- Binary types: bytes, bytearray, memoryview
- Mapping data type: dict
- Boolean type: bool
- Set data types: set, frozenset
Check data type with type()
>>> print(type(10 + 5.7))
<class 'float'>
Arithmetic Operators¶
Operator | Description | Syntax |
---|---|---|
+ | Addition: adds two operands | x + y |
– | Subtraction: subtracts two operands | x – y |
* | Multiplication: multiplies two operands | x * y |
/ | Division (float): divides the first operand by the second | x / y |
// | Division (floor): divides the first operand by the second | x // y |
% | Modulus: returns the remainder when first operand is divided by the second | x % y |
** | Power : Returns first raised to power second | x ** y |
# Arithmetic
10 + 3 # 13
10 - 3 # 7
10 * 3 # 30
10 ** 3 # 1000
10 / 3 # 3.3333333333333335
10 // 3 # 3 --> floor division - no decimals and returns an int
10 % 3 # 1 --> modulo operator - return the reminder. Good for deciding if number is even or odd
# Converting Strings to Numbers
age = input("How old are you?")
age = int(age)
pi = input("What is the value of pi?")
pi = float(pi)
Augmented Assignment Operators +=
, -=
, /=
, *=
, //=
Python Math Functions¶
# Basic Functions
pow(5, 2) # 25 --> like doing 5**2
abs(-50) # 50
round(5.46) # 5
round(5.468, 2)# 5.47 --> round to nth digit
bin(512) # '0b1000000000' --> binary format
hex(512) # '0x200' --> hexadecimal format
https://www.w3schools.com/python/module_math.asp
Operator Precedence¶
() --> ** --> * or / --> + or -
Tips¶
bin()
return binary representationint('0b101', 2)
will convert to integer- follow snake_case and it's case sensitive
_
signifies private in python (ex:_user_id
)
String¶
use three ` to write multiline string
String Concatenation This only works with strings
first_name = "Shubham"
last_name = "Lad"
print(first_name + ' ' + last_name)
print("Shubham" + 5) # This line will give error
# We can use Type Conversion though
print("Shubham" + str(5))
Formatted String
age = 26
print("Hi " + first_name + ' ' + last_name ", You are " + str(age) + " years old")
# Formatted String - write f
print(f'hi {first_name} {last_name}, You are {age} years old')
String Indexes [start:stop:stepover]
# [start:stop:stepover]
>>> ek_string = "0123456789"
>>> ek_string[5]
'5'
>>> ek_string[0:]
'0123456789'
>>> ek_string[:7]
'0123456'
>>> ek_string[4:7]
'456'
>>> ek_string[0:7]
'0123456'
>>> ek_string[0::2]
'02468'
>>> ek_string[-1]
'9'
>>> ek_string[::-1]
'9876543210'
reverse string ek_string[::-1]
length of string len(string)
Strings are immutable
Python String Method https://www.w3schools.com/python/python_ref_string.asp
# Basic Methods
' I am alone '.strip() # 'I am alone' --> Strips all whitespace characters from both ends.
'On an island'.strip('d') # 'On an islan' --> # Strips all passed characters from both ends.
'but life is good!'.split() # ['but', 'life', 'is', 'good!']
'Help me'.replace('me', 'you') # 'Help you' --> Replaces first with second param
'Need to make fire'.startswith('Need')# True
'and cook rice'.endswith('rice') # True
'bye bye'.index('e') # 2
'still there?'.upper() # STILL THERE?
'HELLO?!'.lower() # hello?!
'ok, I am done.'.capitalize() # 'Ok, I am done.'
'oh hi there'.find('i') # 4 --> returns the starting index position of the first occurrence
'oh hi there'.count('e') # 2
Input input return string
my_age = input("Enter your name")
example:
#Palindrome check
word = 'reviver'
p = bool(word.find(word[::-1]) + 1)
print(p) # True
List¶
List can contain any/combination of type
>>> list1 = [1,2,3,4,5]
>>> list2 = ['a', 'b', 'c', 'd', 'e']
>>> list3 = [1, 2, 'a', True]
>>> list3[2] # access element
'a'
>>> ek_string[-1]
'9'
List Slicing
Same as string
>>> list1[0::2]
[1,3,5]
Lists are mutable
list1 = list2
modifing list1 index values will also modify the values of list2 as it gets assigned by reference.
To avoid this we can use slicing list1 = list2[:]
slicing creates new object or we can use list1 = list2.copy()
Matrix
>>> matrix = [
>>> [1, 2, 3],
>>> [4, 5, 6],
>>> [7, 8, 9]
>>> ]
>>>
>>> matrix[1][0]
4
# Matrix
matrix = [[1,2,3], [4,5,6], [7,8,9]]
matrix[2][0] # 7 --> Grab first first of the third item in the matrix object
# Looping through a matrix by rows:
mx = [[1,2,3],[4,5,6]]
for row in range(len(mx)):
for col in range(len(mx[0])):
print(mx[row][col]) # 1 2 3 4 5 6
# Transform into a list:
[mx[row][col] for row in range(len(mx)) for col in range(len(mx[0]))] # [1,2,3,4,5,6]
# Combine columns with zip and *:
[x for x in zip(*mx)] # [(1, 3), (2, 4)]
List Method
>>> len(list1)
5
# Add to List
>>> list1.append(100) #changes list inplace
[1, 2, 3, 4, 5, 100]
>>> list1.insert(2, 200) #insert at index
[1, 2, 200, 3, 4, 5, 100]
>>> list1.extend([101, 102])
[1, 2, 200, 3, 4, 5, 100, 101, 102]
# Copy a List
>>> list4 = ['apples', 'pears', 'oranges']
>>> new_list = list4.copy()
>>> new_list2 = list4[:]
# Remove from List
>>> list1.pop() #removes the last element
>>> list1.pop(0) #remove the element at index
>>> list1.remove(4) #removes the first matching element
>>> list1.clear() #removes all the element from list
# Ordering
>>> list1.sort() #sort the list inplace in accending order
>>> list1.sort(reverse=True) #sort the list inplace in accending order
>>> sorted(list1) #sort and retun new list
>>> list1.reverse() #reverse the list
>>> list(reversed([1,2,5,3]))# [3, 5, 2, 1] --> reversed() returns an iterator
>>> list1.index(2) #give the index of the matching element
>>> list2.index('d', 0, 3) # (element, startIndex, endIndex)
>>> 'x' in basket #check if list contain the value
# Useful operations
>>> 1 in [1,2,5,3] # True
>>> min([1,2,3,4,5])# 1
>>> max([1,2,3,4,5])# 5
>>> sum([1,2,3,4,5])# 15
# Get First and Last element of a list
>>> mList = [63, 21, 30, 14, 35, 26, 77, 18, 49, 10]
>>> first, *x, last = mList
>>> print(first) #63
>>> print(last) #10
Common list patterns
>>> list(range(1, 100)) # will produce list of numbers from 1 to 99
>>> join_by = " "
>>> join_by.join(['Hi', 'my', 'name', 'is', 'Shubham'])
'Hi my name is Shubham' # join method joins elements of list with join_by
>>>
List unpacking
a, b, c, *other = [1,2,3,4,5,6,7,8,9]
Advanced Functions
# Advanced Functions
list_of_chars = list('Helloooo') # ['H', 'e', 'l', 'l', 'o', 'o', 'o', 'o']
sum_of_elements = sum([1,2,3,4,5]) # 15
element_sum = [sum(pair) for pair in zip([1,2,3],[4,5,6])] # [5, 7, 9]
sorted_by_second = sorted(['hi','you','man'], key=lambda el: el[1])# ['man', 'hi', 'you']
sorted_by_key = sorted([
{'name': 'Bina', 'age': 30},
{'name':'Andy', 'age': 18},
{'name': 'Zoey', 'age': 55}],
key=lambda el: (el['name']))# [{'name': 'Andy', 'age': 18}, {'name': 'Bina', 'age': 30}, {'name': 'Zoey', 'age': 55}]
Dictionary¶
>>> user = {
'name': 'Shubham',
'age': 26,
'is_cool': True,
'basket': [1,2,3]
}
>>> dict(name='Shubham') # return new directory
Dictionary methods
>>> user.get('age', 55) # get method retrives value of key, second param(optional) is default value if key not present.
>>> basket in user #return boolean if key present
>>> user.keys() # return list of keys
>>> user.values() #return list of values
>>> user.items() #return tuple with pair of key and value
>>> user.clear()
>>> user.copy()
>>> user.pop('age') #removed perticular field
>>> user.update({'age': 27}) #upsert the key into dict
>>> user['favourite_snack'] = 'Grapes'
#Remove key
>>> del user['name']
>>> user.pop('name', None)
>>> new_dict = dict([['name','Andrei'],['age',32],['magic_power',False]]) # Creates a dict from collection of key-value pairs.
>>> new_dict = dict(zip(['name','age','magic_power'],['Andrei',32, False]))# Creates a dict from two collections.
>>> {**my_dict, **{'cool': True} } # {'name': 'Andrei Neagoie', 'age': 30, 'magic_power': False, 'favourite_snack': 'Grapes', 'cool': True}
>>> new_dict = dict([['name','Andrei'],['age',32],['magic_power',False]]) # Creates a dict from collection of key-value pairs.
>>> new_dict = dict(zip(['name','age','magic_power'],['Andrei',32, False]))# Creates a dict from two collections.
Ordered Dictionary
from collections import OrderedDict
# Store each person's languages, keeping # track of who responded first.
programmers = OrderedDict()
programmers['Tim'] = ['python', 'javascript']
programmers['Sarah'] = ['C++']
programmers['Bia'] = ['Ruby', 'Python', 'Go']
for name, langs in programmers.items():
print(name + '-->')
for lang in langs:
print('\t' + lang)
Tuples¶
Tuples is immutable and they are faster than list
>>> my_tuple = (1,2,3,4,5)
>>> my_tuple[1] # return 2
>>>
>>> my_tuple = ('apple','grapes','mango', 'grapes')
>>> apple, grapes, mango, grapes = my_tuple. # Tuple unpacking
>>> len(my_tuple) # 4
>>> my_tuple[2] # mango
>>> my_tuple[-1] # 'grapes'
# Methods
>>> my_tuple.index('grapes') # 1
>>> my_tuple.count('grapes') # 2
# Zip
>>> list(zip([1,2,3], [4,5,6])) # [(1, 4), (2, 5), (3, 6)]
# unzip
>>> z = [(1, 2), (3, 4), (5, 6), (7, 8)] # Some output of zip() function
>>> unzip = lambda z: list(zip(*z))
>>> unzip(z)
Sets¶
Set's store and return only unique
element
>>> my_set = {1,2,3,4,5,5}
>>> my_set.add(100) #add value to set
>>> my_set.add(2) # 2 is already present in the set
>>> my_set.copy()
>>> my_set.clear() # {}
>>> my_set.remove(100) # {1} --> Raises KeyError if element not found
>>> my_set.discard(100) # {1} --> Doesn't raise an error if element not found
>>> my_list = [1,2,3,4,5,5]
>>> set(my_list)
{1, 2, 3, 4, 5
>>> list(my_set)
[1, 2, 3, 4, 5]
>>> 1 in my_set
>>> len(my_set)
Sets methods
>>> my_set = {1,2,3,4,5}
>>> your_set = {4,5,6,7,8,9,10}
>>> my_set.difference(your_set)
{1, 2, 3}
>>> my_set.discard(5) #inplace
{1, 2, 3, 4}
>>> my_set.difference_update(your_set) #it removes all common values
{1, 2, 3}
>>> my_set.union(your_set) #join sets together
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}
>>> my_set | your_set #union
>>> my_set.intersection(your_set) #return common value
{4, 5}
>>> my_set & your_set #intersection
>>> my_set.isdisjoint(your_set) #return boolen true if nothing common or false
>>> my_set.issubset(your_set) #return boolean - if my_set present in your_set
>>> my_set.issuperset(your_set) #return boolen - if my_set contains your_set
Conditional Logic¶
age = 26
if age > 18 and age <= 50 and not(age == 27):
print("Your are adult")
elif age > 50:
print("Buddha ho gaya re tu")
elif not age:
print("Paida to ho ja")
else:
print("Baccha he tu")
# Ternery Operator
# condition_if_true if condition else condition_if_else
is_friend = True
can_message = "Message Allowed" if is_friend else "Not Allowed to Message"
Logical Operators | Operator | Description | Example | | ---- | ---- | ---- | | and | Returns True if both statements are true | x < 5 and x < 10
| | or | Returns True if one of the statements is true | x < 5 or x < 4
| | not | Reverse the result, returns False if the result is true | not(x < 5 and x < 10)
|
Comparison Operators | Operator | Name | Example | | ---- | ---- | ---- | | == | Equal |x == y | | != | Not equal | x != y | | /> | Greater than | x > y | | < | Less than | x < y | | />= | Greater than or equal to | x >= y | | <= | Less than or equal to | x <= y |
is vs ==
is
will return True
if two variables point to the same object (in memory), ==
if the objects referred to by the variables are equal.
>>> a = [1, 2, 3]
>>> b = a
>>> b is a
True
>>> b == a
True
# Make a new copy of list `a` via the slice operator,
# and assign it to variable `b`
>>> b = a[:]
>>> b is a
False
>>> b == a
True
any([False, True, False])# True if at least one item in collection is truthy, False if empty.
all([True,1,3,True]) # True if all items in collection are true
For Loops¶
for item in (1,2,3,4,5):
for x in ['a', 'b', 'c']:
print(str(item) + x)
list, dictionary, tuple, set, string are iterables
>>> user = {
>>> "name": "Shubham",
>>> "age": 26,
>>> "is_cool": True
>>> }
>>>
>>> for item in user:
>>> print(item)
name
age
is_cool
>>> for item in user.items():
>>> key, value = item
>>> print(key, value)
>>>
>>> for key, value in user.items():
>>> print(key, value)
>>>
>>> for item in user.keys():
>>> print(item)
>>>
>>> for item in user.values():
>>> print(item)
range
for number in range(0, 100): # 0 to 99
print(number)
for _ in range(0, 10, 2): # (start, end, stepover)
print(_)
Enumerate
for i, char in enumerate('Helllloooo'): # it gives index and value both
print(i, char)
for i, number in enumerate(list(range(100))):
print(i, number)
if number == 50:
print(f'index of 50 is: {i}')
Counter
from collections import Counter
colors = ['red', 'blue', 'yellow', 'blue', 'red', 'blue']
counter = Counter(colors)# Counter({'blue': 3, 'red': 2, 'yellow': 1})
counter.most_common()[0] # ('blue', 3)
While Loops¶
i = 0
while i < 50:
print(i)
break
else: #else will only run if the loop completes without break statement
print("done with all the work")
my_list = [1,2,3]
for item in my_list:
print(item)
i = 0
while i < len(my_list):
print(my_list[i])
i += 1
break statement: The break statement in Python terminates the current loop and resumes execution at the next statement, just like the traditional break found in C.
while True:
response = input('Say something')
if (response == 'bye'):
break
continue statement: The continue statement in Python returns the control to the beginning of the while loop. The continue statement rejects all the remaining statements in the current iteration of the loop and moves the control back to the top of the loop.
for letter in 'Python': # This skips printing letter 'h'
if letter == 'h':
continue
print('Current Letter :', letter)
pass statement: The pass statement in Python is used when a statement is required syntactically but you do not want any command or code to execute.
The pass is also useful in places where your code will eventually go, but has not been written yet (e.g., in stubs for example)
for i in 'Python': # Empty loop
# No error will be raised
pass
def fun():
pass
Find Duplicates #^90cfc7 ^60485b
some_list = ['a', 'b', 'c', 'b', 'd', 'm', 'n', 'n']
duplicates = []
for value in some_list:
if some_list.count(value) > 1:
if value not in duplicates:
duplicates.append(value)
print(duplicates)
Functions¶
define functions first and then only call it or else python will give an error
def say_something():
print("Hello Shubham")
say_something()
parameters vs arguments
#parameters
def say_hello(name, emoji):
print(f'Hello {name} {emoji}')
#arguments
say_hello("Shubham", "🤩")
#positional arguments
say_hello("Snehal", "😁")
#keyword arguments
say_hello(emoji='😎', name='Emily')
#default parameters
def say_hello(name='Alex', emoji='👨💻'):
print(f'Hello {name} {emoji}')
say_hello('Shubham') #it will use default parameter for emoji
return
def sum(num1, num2):
return num1 + num2
sum(5, sum(2, 8)) # retrun 15
# return another function
def sum(num1, num2):
def another_func(n1, n2):
return n1 + n2
return another_func(num1, num2)
Closures
def get_multiplier(a):
def out(b):
return a * b
return out
>>> multiply_by_3 = get_multiplier(3)
>>> multiply_by_3(10)
30
Docstrings
Python documentation strings (or docstrings) provide a convenient way of associating documentation with Python modules, functions, classes, and methods.
It will get associated with __doc__
def sum(num1, num2):
'''
Info: This function return sum of two numbers passed
'''
return num1 + num2
print(sum.__doc__)
this will open doc in editors on hover also the docstring will print when you pass function in help
>>> help(sum)
Help on function sum in module __main__:
sum(num1, num2)
Info: This function return sum of two numbers passed
*args **kwargs
Rule: params, *args, default parameters, **kwargs
>>> def super_func(*args, **kwargs):
>>> print(args)
>>> print(kwargs)
>>> # arguments should be grouped and subsequent
>>> super_func(1,2,3,4,5, num1=5, num2=10) # kewaord arguments automatically gets assigned to the **kwargs and everything else gets assigned to *args
(1, 2, 3, 4, 5) # args as tuples
{'num1': 5, 'num2': 10} # kwargs as dictionary
>>> head, *body, tail = [1,2,3,4,5]
def add(*a):
return sum(a)
add(1, 2, 3) # 6
Example:
def highest_even(li):
evens = []
for item in li:
if item % 2 == 0:
evens.append(item)
return max(evens)
print(highest_even([10,2,3,4,8,11]))
pure function
A function is called pure function if it always returns the same result for same argument values and it has no side effects like modifying an argument (or global variable) or outputting something.
Rules: 1. it always returns the same result for same argument values 2. it should not interact outside the functions scope - ex: modifying an argument (or global variable) or outputting something.
def multiply_by_2(li):
new_list = []
for item in li:
new_list.append(item*2)
return new_list
multiply_by_2()
Scopes¶
if True:
x = 10 # Global scope - X can be accessed outeside of the if condition
def some_func():
total = 100 # Local scope - total can be accessed only inside this function
scope rule
1 - Start with local 2 - Parent local 3 - Global 4 - Built-in python
a = 1 # global scope
def parent():
a = 10 # local scope - it creates new varibale in local scope
def confusion():
return a
return confusion()
print(parent()) # print 10
print(a) # print 1
global
total = 0
def count():
golbal total # if global not written here python will create local var
total += 1
return total
count()
nonlocal
def outer():
x = 'local'
def inner():
nonlocal x # use parent variable
x = 'nonlocal'
print('inner: ', x)
inner()
print('outer: ', x)
outer()
# inner: nonlocal
# outer: nonlocal
Important built in functions¶
map
with map we write pure functions
map(action, iterables)
action: logic to perform on each item of the iterables iterables: iterable on which you want to perform that action return map object with type casting we can convert it
my_list = [1,2,3]
def multiply_by_2(item):
return item * 2 # right only action that you want to perform on each item
list(map(multiply_by_2, my_list)) # map(action, iterables)
# [2,4,6]
filter
my_list = [1,2,3]
def only_odd(item):
return item % 2 != 0
list(filter(only_odd, my_list))
# [1,3]
zip
zip is like zipper we need two plus iterables and we can zip them together, it will zip till the length of the smallest list
my_list = [1,2,3]
your_list = [10,20,30]
list(zip(my_list, your_list))
# [(1, 10), (2, 20), (3, 30)]
reduce
same as javascript reduce(function, itterabale, initial value)
from functools import reduce
my_list = [1,2,3]
def accumulator(acc, item):
return acc + item
reduce(accumulator, my_list, 0)
# 6
Comprehensions¶
List comprehensions
list = [ variable/expression for_loop condition ]
my_list = [char for char in 'hello']
my_list1 = [char for char in range(0,100)]
my_list2 = [num**2 for num in range(0, 100)]
my_list3 = [num**2 for num in range(0, 100) if num % 2 == 0]
Set comprehensions
my_set = {char for char in 'hello'}
my_set1 = {char for char in range(0, 100)}
my_set2 = {num**2 for num in range(0, 100)}
my_set3 = {num**2 for num in range(0, 100) if num % 2 == 0]}
Dictionary comprehensions
simple_dict = {
'a': 1,
'b': 2,
}
my_dict = {key:val**2 for key, val in simple_dict.items()}
my_dict = {k:v**2 for k, v in simple_dict.items() if v%2 == 0}
Find Duplicates #^60485b ^90cfc7
some_list = ['a', 'b', 'c', 'b', 'd', 'm', 'n', 'n']
duplicates = list(set([x for x in some_list if simple_list.count(x) > 1]))
Modules¶
# main.py
import utility
utility.multiply(2,5)
# utility.py
def multiply(num1, num2):
return num1 * num2
def devide(num1, num2):
return num1 / num2
Packages¶
package is a folder containing modules
folder
__init__.py
this file is really important for package, it can be empty utility.py
import folder.utility
folder.utility.something()
we can have package
under package
folder
__init__.py
utility.py
other_folder
__init__.py
product.py
Different ways of importing
if __name__ == '__main__': # Runs main() if file wasn't imported.
main()
import folder.other_folder.product
folder.other_folder.product.get_items()
from folder.other_folder import product
product.get_items()
from folder.other_folder.product import get_items, buy
get_items()
buy('apple')
from utility import *
import <module_name>
from <module_name> import <function_name>
import <module_name> as m
from <module_name> import <function_name> as m_function
from <module_name> import *
Generators¶
Convenient way to implement the iterator protocol.
def count(start, step):
while True:
yield start
start += step
>>> counter = count(10, 2)
>>> next(counter), next(counter), next(counter)
(10, 12, 14)
Decorators¶
A decorator takes a function, adds some functionality and returns it.
@decorator_name
def function_that_gets_passed_to_decorator():
...
Decorator that prints function's name every time it gets called.
from functools import wraps
def debug(func):
@wraps(func)
def out(*args, **kwargs):
print(func.__name__)
return func(*args, **kwargs)
return out
@debug
def add(x, y):
return x + y
wraps
is a helper decorator that copiesmetadata
of functionadd()
to functionout()
.- Without it
'add.__name__'
would return'out'
.
Class¶
User defined objects are created using the class keyword
class <name>:
age = 80 # Class Object Attribute
def __init__(self, a):
self.a = a # Object Attribute
@classmethod
def get_class_name(cls):
return cls.__name__
Inheritance
class Person:
def __init__(self, name, age):
self.name = name
self.age = age
class Employee(Person):
def __init__(self, name, age, staff_num):
super().__init__(name, age)
self.staff_num = staff_num
Multiple Inheritance
class A: pass
class B: pass
class C(A, B): pass
MRO determines the order in which parent classes are traversed when searching for a method:
>>> C.mro()
[<class 'C'>, <class 'A'>, <class 'B'>, <class 'object'>]
Exception¶
try:
5/0
except ZeroDivisionError:
print("No division by zero!")
while True:
try:
x = int(input('Enter your age: '))
except ValueError:
print('Oops! That was no valid number. Try again...')
else: # code that depends on the try block running successfully should be placed in the else block.
print('Carry on!')
break
Raising Exception
raise ValueError('some error message')
Finally
try:
raise KeyboardInterrupt
except:
print('oops')
finally:
print('All done!')
Command Line Arguments¶
import sys
script_name = sys.argv[0]
arguments = sys.argv[1:]
File¶
File IO
Opens a file and returns a corresponding file object.
<file> = open('<path>', mode='r', encoding=None)
Modes 'r' - Read (default). 'w' - Write (truncate). 'x' - Write or fail if the file already exists. 'a' - Append. 'w+' - Read and write (truncate). 'r+' - Read and write from the start. 'a+' - Read and write from the end. 't' - Text mode (default). 'b' - Binary mode.
<file>.seek(0) # Moves to the start of the file.
<str/bytes> = <file>.readline() # Returns a line.
<list> = <file>.readlines() # Returns a list of lines.
<file>.write(<str/bytes>) # Writes a string or bytes object.
<file>.writelines(<list>) # Writes a list of strings or bytes objects.
Read Text from File
def read_file(filename):
with open(filename, encoding='utf-8') as file:
return file.readlines() # or read()
for line in read_file(filename):
print(line)
Write Text to File
def write_to_file(filename, text):
with open(filename, 'w', encoding='utf-8') as file:
file.write(text)
Append Text to File
def append_to_file(filename, text):
with open(filename, 'a', encoding='utf-8') as file:
file.write(text)
Useful Libraries¶
CSV
import csv
# Read Rows from CSV File
def read_csv_file(filename):
with open(filename, encoding='utf-8') as file:
return csv.reader(file, delimiter=';')
# Write Rows to CSV File
def write_to_csv_file(filename, rows):
with open(filename, 'w', encoding='utf-8') as file:
writer = csv.writer(file, delimiter=';')
writer.writerows(rows)
JSON
import json
<str> = json.dumps(<object>, ensure_ascii=True, indent=None)
<object> = json.loads(<str>)
# Read Object from JSON File
def read_json_file(filename):
with open(filename, encoding='utf-8') as file:
return json.load(file)
# Write Object to JSON File
def write_to_json_file(filename, an_object):
with open(filename, 'w', encoding='utf-8') as file:
json.dump(an_object, file, ensure_ascii=False, indent=2)
Pickle
import pickle
<bytes> = pickle.dumps(<object>)
<object> = pickle.loads(<bytes>)
# Read Object from File
def read_pickle_file(filename):
with open(filename, 'rb') as file:
return pickle.load(file)
# Write Object to File
def write_to_pickle_file(filename, an_object):
with open(filename, 'wb') as file:
pickle.dump(an_object, file)
Profile
Basic
from time import time
start_time = time() # Seconds since
...
duration = time() - start_time
Math
from math import e, pi
from math import cos, acos, sin, asin, tan, atan, degrees, radians
from math import log, log10, log2
from math import inf, nan, isinf, isnan
Statistics
from statistics import mean, median, variance, pvariance, pstdev
Random
from random import random, randint, choice, shuffle
random() # random float between 0 and 1
randint(0, 100) # random integer between 0 and 100
random_el = choice([1,2,3,4]) # select a random element from list
shuffle([1,2,3,4]) # shuffles a list
Regex
import re
<str> = re.sub(<regex>, new, text, count=0) # Substitutes all occurrences.
<list> = re.findall(<regex>, text) # Returns all occurrences.
<list> = re.split(<regex>, text, maxsplit=0) # Use brackets in regex to keep the matches.
<Match> = re.search(<regex>, text) # Searches for first occurrence of pattern.
<Match> = re.match(<regex>, text) # Searches only at the beginning of the text.
Date Time
from datetime import date, time, datetime, timedelta
from dateutil.tz import UTC, tzlocal, gettz
<D> = date(year, month, day)
<T> = time(hour=0, minute=0, second=0, microsecond=0, tzinfo=None, fold=0)
<DT> = datetime(year, month, day, hour=0, minute=0, second=0, ...)
<TD> = timedelta(days=0, seconds=0, microseconds=0, milliseconds=0,
minutes=0, hours=0, weeks=0)
<D/DTn> = D/DT.today() # Current local date or naive datetime.
<DTn> = DT.utcnow() # Naive datetime from current UTC time.
<DTa> = DT.now(<tz>) # Aware datetime from current tz time.
Tip
https://realpython.com/python-comments-guide/