Python âĻ
In Python, there is no built-in "array" data type like in C++ or Java. Instead, Python uses lists for general purposes, and specialized modules or libraries for more traditional array-like behavior.
ð Python Lists:
ð fruits = ["apple", "banana", "cherry"]
ð The array Module
ð import array
#python #programming #pythonforDataScience
In Python, there is no built-in "array" data type like in C++ or Java. Instead, Python uses lists for general purposes, and specialized modules or libraries for more traditional array-like behavior.
ð Python Lists:
ð fruits = ["apple", "banana", "cherry"]
ð The array Module
ð import array
#python #programming #pythonforDataScience
ð1ð1ðŊ1
Python âĻ
In Python, a for loop is used to iterate over a sequence (such as a list, tuple, string, or dictionary) or other iterable objects.
ð Functions
ð range(): Generates a sequence of numbers (e.g., range(5) produces 0 to 4). It is the standard way to repeat a block of code a specific number of times.
ð enumerate(): Provides both the index and the value of items during iteration.
ð Control Statements
â break: Exits the loop entirely before it has finished iterating.
â continue: Skips the current iteration and moves immediately to the next item.
â pass: Acts as a placeholder for future code; it does nothing when executed.
#pythonLearning #forLoop #pythonForDataScience
In Python, a for loop is used to iterate over a sequence (such as a list, tuple, string, or dictionary) or other iterable objects.
ð Functions
ð range(): Generates a sequence of numbers (e.g., range(5) produces 0 to 4). It is the standard way to repeat a block of code a specific number of times.
ð enumerate(): Provides both the index and the value of items during iteration.
ð Control Statements
â break: Exits the loop entirely before it has finished iterating.
â continue: Skips the current iteration and moves immediately to the next item.
â pass: Acts as a placeholder for future code; it does nothing when executed.
#pythonLearning #forLoop #pythonForDataScience
ð1ðŊ1
Python âĻ
â A Python function is a reusable block of code that performs a specific task.
To define a function, use the def keyword, followed by the function name, parentheses (), and a colon : The code inside must be indented.
âïļ Example
def greet():
print("Hello, Welcome")
def add_numbers(a, b):
return a + b
add_number = function name ðĪŠ
a and b = parameters ð
ððððððððððð
ð for Learning: @jod_dev 0921098591
#python #PythonForDataScience #DataScience #Coding
â A Python function is a reusable block of code that performs a specific task.
To define a function, use the def keyword, followed by the function name, parentheses (), and a colon : The code inside must be indented.
âïļ Example
def greet():
print("Hello, Welcome")
def add_numbers(a, b):
return a + b
add_number = function name ðĪŠ
a and b = parameters ð
ððððððððððð
ð for Learning: @jod_dev 0921098591
#python #PythonForDataScience #DataScience #Coding
âĄ1ð1ðĨ°1ðŊ1
Python âĻ
â In Python, a list is a built-in data structure used to store a collection of items in a single variable.
âïļ Characteristics
ð Ordered & Indexed: Each item has a specific position starting at index 0.
ð Mutable: You can modify elements in-place.
ð Heterogeneous: A single list can contain different data types, such as integers, strings, and even other lists.
ð Allows Duplicates: Lists can store multiple instances of the same value.
âïļ List Methods
append(x), insert(i, x), remove(x), pop([i]), sort(), reverse()
#python #DataType #pythonForDataScience #coding
â In Python, a list is a built-in data structure used to store a collection of items in a single variable.
âïļ Characteristics
ð Ordered & Indexed: Each item has a specific position starting at index 0.
ð Mutable: You can modify elements in-place.
ð Heterogeneous: A single list can contain different data types, such as integers, strings, and even other lists.
ð Allows Duplicates: Lists can store multiple instances of the same value.
âïļ List Methods
append(x), insert(i, x), remove(x), pop([i]), sort(), reverse()
#python #DataType #pythonForDataScience #coding
âĄ1ð1ðŊ1