Changes on scripts

01.Python_basics/1.Python_basics_scripts/01.Python_variables/Varaibles.py

@@ -1,15 +1,15 @@
 # To define what variables are, let's take an example from real life, let's
 # say you have a new friend, and you want to get his contact details, such as
-# his name, phone number, his address etc., if want to memorize these details,
+# his name, phone number, address, etc., if want to memorize these details,
 # there is a chance that you can forget them, but if you save them in your
 # phone, under your friend's name, then you can save them forever.
 # This is the same as the variable in coding, where the objects (data,
-# functions, classes etc.) are assigned to a name, and then the code can use
+# functions, classes, etc.) are assigned to a name, and then the code can use
 # this variable inside, without the need to define it every time.
-# Also, data or values inside the variables may change, that is why they are
+# Also, data or values inside the variables may change, which is why they are
 # called variables.
-# This leads us to the variables’ definition, which is, variables are temporary
-# containers to store data.
+# This leads us to the variables’ definition, which is, that variables are
+# temporary containers to store data.
 
 
 # To define a variable, use the "=" to assign any type of data to a specific
@@ -36,29 +36,29 @@
 # print(weight_lbs)
 
 
-# To define variables there are certain rules that should be followed:
-# These rules can be applied to any name defined in python such as functions
-# and classes names etc.
-# 1. Variables should be start with a letter or underscore "_"
+# To define variables certain rules should be followed:
+# These rules can be applied to any name defined in Python such as functions
+# and class names etc.
+# 1. Variables should start with a letter or underscore "_"
 _number = 55
 
-# 2. After the letter or the underscore, letters, numbers or "_" can
+# 2. After the letter or the underscore, letters, numbers, or "_" can
 # be added.
 
 n1 = 3.5
 n_1 = 8
 
-# Beware, to define a variable letters number and "_" are used, then numbers
+# Beware, to define a variable letters, numbers, and "_" are used, numbers
 # shouldn't be used as the first character in a variable name.
-# Same rule apply to any name defined in Python.
+# The same rule applies to any name defined in Python.
 
 # 3n = 5
 # n+time = 7
 # hour@min = 66
 
 # 3. In Python when defining any object with a name, (variables, classes,
-# functions etc.), it should be taken in account that python is case sensitive,
-# let's take an example:
+# functions etc.), it should be taken into account that Python is
+# case-sensitive, let's take an example:
 my_name = "John"
 my_nAme = "Mary"
 
@@ -72,18 +72,18 @@
 # Print(My_name)
 
 
-# In order to prevent errors when writing code, built-in objects should be
-# written as they are defined inside Python, otherwise errors will be raised.
+# To prevent errors when writing code, built-in objects should be written as
+# they are defined inside Python, otherwise errors will be raised.
 
-# 4. when defining a variable, the name given to it should be readable
-# and spaces are not allowed,
+# 4. When defining a variable, the name given to it should be readable
+# and spaces are not allowed.
 my_name = "John"
 My_name = "Mary"
 MyName = "Lilly"
 # My Name = "Tom"
 
-# Variables should be descriptive, anyone reads the variable should know what
-# this variable is about and where it should be used.
+# Variables should be descriptive, anyone who reads the variable should know
+# what this variable is about and where it should be used.
 rectangular_width = 5
 rectangular_length = 10
 rectangular_area = rectangular_width * rectangular_length

01.Python_basics/1.Python_basics_scripts/02.Comments/Comments.py

@@ -5,7 +5,7 @@
 # Why comments are important?
 # Comments are used to explain the code and make your code readable
 # and clear.
-# Coments are used to prevent execution of some lines in your code.
+# Comments are used to prevent the execution of some lines in your code.
 
 # "a" is a string variable
 # a = "This course is about Python"

01.Python_basics/1.Python_basics_scripts/03.Numbers/Numbers.py

@@ -26,8 +26,8 @@
 # print(b)
 # print("b Type:", type(b))
 
-'''we can't cast a complex number to int or float
-uncomment below line and run code will give a typeerror'''
+'''We can't cast a complex number to int or float
+uncomment below the line and run code will give a type error'''
 # c = int(z)
 
 # print(c)
@@ -53,18 +53,18 @@
 # print(int_num)
 # print("int_num Type:", type(int_num))
 
-# But if the the string is float number, using int() will raise ValueError,
+# But if the string is a float number, using int() will raise ValueError,
 # this error will be raised if an object cannot be converted to an integer,
-# as shown in below example.
+# as shown in the below example.
 flot_str = "3.4"
 # print(int(flot_str))
 
-# int() function or constructor, syntax is as follows:
-# int(x, base=10), to convert the a string to an integer and apply base 10 on
+# int() function or constructor, the syntax is as follows:
+# int(x, base=10), to convert the string to an integer and apply base 10 on
 # it, the string should be integer not float otherwise an error will be raised,
 # to solve this issue first change the number to a float then to an integer.
 
-# Other bases such as 2 for binary system, and can be converted to an integer.
+# Other bases such as 2 for a binary system, can be converted to an integer.
 binary_num = "1101"
 
 # print(int(binary_num, 2))

01.Python_basics/1.Python_basics_scripts/04.Strings/1.Strings_Into.py

@@ -1,5 +1,5 @@
 # What are strings?
-""" Strings are built-in class of data structure and it is imutable and use
+""" Strings are built-in classes of data structure, it is immutable and uses
 the "Unicode Characters" """
 
 # Unicode Characters represent characters and symbols of different languages.

01.Python_basics/1.Python_basics_scripts/04.Strings/4.String_slicing.py

@@ -1,4 +1,4 @@
-# String slicing is a method to create sub-string from the original string.
+# String slicing is a method to create a sub-string from the original string.
 
 a = "Hello World"
 

01.Python_basics/1.Python_basics_scripts/04.Strings/5.String_methods.py

@@ -1,13 +1,13 @@
-# String Mothods
-# They are buitl-in methods used for string modifying or return True or False,
-# we will learn most used methods.
-# To know more about these mehtods check Python documentation or any other site
+# String Methods
+# They are built-in methods used for string modifying or returning True or
+# False, we will learn the most used methods.
+# To know more about these methods check Python documentation or any other site
 # that you prefer:
 # https://docs.python.org/3/library/stdtypes.html#string-methods
 
 a = "Python is a Wide. used Programming. Language"
 
-# Note, methods (for lists, strings, dictionary etc.) are written on the right
+# Note, methods (for lists, strings, dictionary, etc.) are written on the right
 # side of the object after the ".", as shown in below syntax:
 # object.method()
 

01.Python_basics/1.Python_basics_scripts/04.Strings/6.Concatenate_format_string.py

@@ -5,7 +5,7 @@
 # print(sent)
 
 # 2. String formatting
-# There are two ways to format the string
+# There are two ways to format the string:
 # 1. Using the format() method
 year = "2023"
 day = "24"

01.Python_basics/1.Python_basics_scripts/04.Strings/7.Escape_character.py

@@ -1,20 +1,21 @@
 # Escape Characters:
-# Are used to insert special charaters lines etc. into a string or code by
+# Are used to insert special characters lines etc. into a string or code by
 # using \ Backslash.
 # There are many escape characters used in Python, and we will discuss the
 # most used.
-# There are mnay sites explain the esacpe characters in python, and show
+# There are many sites that explain the escape characters in Python, and show
 # how to use them, you can check them out.
+
 # 1. \" or \'
-# The back slash is used to allow us use single or double quotes inside the
+# The backslash is used to allow us to use single or double quotes inside the
 # string as shown below:
-a = 'I\'m taking this python course'
+a = 'I\'m taking this Python course'
 # print(a)
 
 b = "This course is about \"Python\""
 # print(b)
 
-# Using differnet quotes (single or doubles) as string quotes and quotes inside
+# Using different quotes (single or doubles) as string quotes and quotes inside
 # the string, will not give and error as shown below.
 # c = "This course is about 'Python'"
 c = 'This course is about "Python"'

01.Python_basics/1.Python_basics_scripts/05.Booleans_&_Operators/1.Booleans.py

@@ -1,6 +1,6 @@
 # Booleans
 # Booleans return two values, True or False
-# Boolean often used in if else statements, which will be covered later.
+# Boolean is often used in if-else statements, which will be covered later
 # in the future
 
 # Examples
@@ -14,7 +14,7 @@
 
 # We can use the bool() function to check for "True" or "False"
 # Almost every object in Python returns "True", unless they are 0 or an
-# empty objects, such as (emplty strings, empty lists, empty dictionaries,
+# empty objects, such as (empty strings, empty lists, empty dictionaries,
 # etc.), which they will return "False", as shown below:
 
 # All strings return True value unless it is not an empty string:

01.Python_basics/1.Python_basics_scripts/05.Booleans_&_Operators/2.Operators.py

@@ -18,7 +18,7 @@
 # y -= 1
 # print(y)
 
-# Comparison Operators ==, !=, >, <, >=, <=, used in if statement and
+# Comparison Operators ==, !=, >, <, >=, <=, used in if-statement and
 # other logical or function and method
 a = 7
 b = 8
@@ -28,7 +28,7 @@
 # print(7 >= a)
 # print(8 <= b)
 
-# Logical Operators, used in if statement and other logical function and
+# Logical Operators, used in if-statement and other logical function and
 # methods
 # print(a == b and b > a)
 # print(a <= b or b <= a)
@@ -51,6 +51,6 @@
 # print(5 ^ 9)
 # print(5 << 2)
 
-# ~4 means not 4, which change all zeros to ones and all the ones to zeros and
+# ~4 means not 4, which changes all zeros to ones and all the ones to zeros and
 # return the real number
 # print(~4)

01.Python_basics/1.Python_basics_scripts/05.Booleans_&_Operators/3.Identity_operators.py

@@ -1,28 +1,28 @@
 # Identity Operators
-# Data in python are represented by objects.
-# Each object has an identity, value and type.
+# Data in Python are represented by objects.
+# Each object has an identity, value, and type.
 # For example:
 a = "Python"
 # "a" has a string type and value of python, then what is the identity?
 # Object identity is the object address in memory, each object has a memory
-# location once its created.
+# location once it is created.
 
 # Identity operators are special comparison operators, used to compare if two
 # variables have the same object in memory.
 # They don't compare the values of the variable like the equal operator ==
 # but compare the memory address.
 
 # There are two identity operators:
-# "is" return True if both variables are the same object and has the same
+# "is" returns True if both variables are the same object and have the same
 # memory address, and False if not.
-#  "is not" return True if both variables are not the same object and doesn't
+#  "is not" return True if both variables are not the same object and don't
 # have the same memory address, and False if not.
-# Identity operators works with with different type of objects such as string,
-# lists, numbers, tuples etc.
+# Identity operators work with different types of objects such as strings,
+# lists, numbers, tuples, etc.
 # To check the memory address we use the id() function.
 
-# Identity operators and function are important when working with large
-# data structure because it leads to conserve memory. How?
+# Identity operators and functions are important when working with large
+# data structures because they lead to conserving memory. How?
 # Example:
 
 b = [6, 3]
@@ -32,8 +32,8 @@
 # print(b is c)
 # print(d is b)
 
-# d = b is not a proper way to copy list because d and b are the same object,
-# any change in d will affect b
+# d = b is not a proper way to copy a list because d and b are the same object,
+# any change in d will affect b.
 # d.append(5)
 # print(b)
 # print(d)

01.Python_basics/1.Python_basics_scripts/06.Lists/1.User_input.py

@@ -1,8 +1,9 @@
 # User Input
-# The user input is used inert data from the user and convert it to a string,
+# The user input is used inert data from the user and converted it to a string,
 # then this string is used in the code.
-# Use the input() to insert data to your Python code.
-# Let's take and example:
+# Use the input() to insert data into your Python code.
+# Let's take an example:
+
 # name = input("Please type your name: ")
 # print(f'Hi {name}, How are you?')
 
@@ -17,7 +18,7 @@
 # print("number type: ",  type(decimal_num))
 
 
-# # Input function can be used in loops
+# Input function can be used in loops
 # list_numbers = []
 # n = 1
 # while n != 0:

01.Python_basics/1.Python_basics_scripts/06.Lists/2.Lists_basics.py

@@ -1,31 +1,33 @@
 # Lists
-# A list is a built in sequence, that is used to store a collection of data.
-# In other programing they are sometimes called array.
+# A list is a built-in sequence, that is used to store a collection of data.
+# In other programming they are sometimes called arrays.
 # We can store any type of data in a list such as:
-# Numbers, strings, booleans, sets, dictionaries, tuples and lists.
+# Numbers, strings, Booleans, sets, dictionaries, tuples, and lists.
 # Example:
+
 my_list = [9, "cat", 9.7, "dog", [False, True, None], 9]
 # print(my_list)
 
 # list type is a class object
 # print(type(my_list))
 
 # List rules:
-# 1. Lists are ordered, when adding values to a list it will be added
+# 1. Lists are ordered, when adding values to a list they will be added
 # at the end of the list
 # 2. Lists are mutable, objects inside a list, can be modified, and can be
 # added or removed.
-# 3. Lists can have duplicates objects.
+# 3. Lists can have duplicate objects.
 
 # We can use the len() function to get the list length
 # print(len(my_list))
 
 # How can we define a new list?
-# 1. Using the square brackets [] by assign it to a variable, creating an empty
-# list and then it can be filled with any type of data.
+# 1. Using the square brackets [] by assigning it to a variable, creating an
+# empty list and then it can be filled with any type of data.
+
 a = []
 
-# 2. Using the list() contructure or function to define a new list
+# 2. Using the list() constructor or function to define a new list.
 b = list()
 
 # we can use the list() to change a different data type to list

01.Python_basics/1.Python_basics_scripts/06.Lists/3.Lists_accessing_slicing.py

@@ -16,14 +16,14 @@
 # print(my_list[4][1])
 # print(my_list[4][2])
 
-# Lists are iterables, loops can be used to iterate on lists objects.
+# Lists are iterable, loops can be used to iterate on list-objects.
 # for i in range(len(my_list)):
 #     print(my_list[i])
 
 # for item in my_list:
 #     print(item)
 
-# Loop over the sub list, as shown below:
+# Loop over the sub-list, as shown below:
 # for i in range(len(my_list[4])):
 #     print(my_list[4][i])
 
@@ -33,7 +33,7 @@
 my_list = [9, "cat", 9.7, "dog", [False, True, None], 9]
 
 # Lists Slicing
-# The same string rules are applied on lists
+# The same string rules are applied to lists.
 # a. a[start:stop]
 # Indexing will begin from "start" through "stop-1".
 

01.Python_basics/1.Python_basics_scripts/06.Lists/4.Lists_items_change.py

@@ -1,7 +1,7 @@
 # Change Items in Lists
 my_list = [9, "cat", 9.7, "dog", [False, True, None], 9]
 
-# changing items by index number
+# changing an item by using the index number
 # my_list[2] = "mouse"
 
 # print(my_list)