Explore Courses

Top 30 Python Pattern Programs You Must Know About

Updated on 20 May, 2024

44.92K+ views

Summary

Pattern in Python or “Python patterns” is an essential part of Python programming, especially when you are just starting out with using algorithms to print various types of output in Python. Number pattern programs in Python are extremely popular when it comes to examinations and assessments. For example, pattern questions in Python such as the number pyramid pattern in Python are recurring questions given in various job interviews.

In this article, you will learn the top 18 python pattern programs you must know about. Take a glimpse below.

Pattern #1: Simple Number Triangle Pattern

Pattern #2: Inverted Pyramid of Numbers

Pattern #3: Half Pyramid Pattern of Numbers

Pattern #4: Inverted Pyramid of Descending Numbers

Pattern #5: Inverted Pyramid of the Same Digit

Pattern #6: Reverse Pyramid of Numbers

Pattern #7: Inverted Half Pyramid Number Pattern

Pattern #8: Pyramid of Natural Numbers Less Than 10

Pattern #9: Reverse Pattern of Digits from 10

Pattern #10: Unique Pyramid Pattern of Digits

Pattern #11: Connected Inverted Pyramid Pattern of Numbers

Pattern #12: Even Number Pyramid Pattern …so on…

Python is a user-friendly language, allowing diverse helpful features to simplify the coding process and enable users to develop exceptional programming prowess. Users are free to access diverse libraries containing modules with program codes for structuring any framework, and it is one of the greatest reasons why pattern question in python fame among programmers is unlikely to die down.

When put to use, these programming skills can reap exceptional results though making it through the interview round with challenging questionnaires can be a difficult task requiring more logical programming solutions.

Preparing for technical interviews takes a lot of preparation, and it’s highly probable that you might have to create Python pattern programs there. That’s why we’ve sorted a list of multiple ideas for pattern printing in Python to start your preparations.

Python is a user-friendly language, allowing diverse helpful features to simplify the coding process and enable users to develop exceptional programming prowess. Users are free to access diverse libraries containing modules with program codes for structuring any framework, and it is one of the greatest reasons why Python’s fame among programmers is unlikely to die down.

Python has its applications in many areas such as web development, game development, software development, network programming, and database access. Python pattern programs are also useful because it creates data visualisation, solves complex calculations, and helps in the analysation of the data. It has many other advantages also added to it, for example, its syntax is similar to the English language, so it is easier to code and also easily portable, and has massive libraries to use. There are some of the factors that contribute to python’s popularity.

When put to use, these programming skills can reap exceptional results though making it through the interview round with challenging questionnaires can be a difficult task requiring more logical programming solutions.

upGrad’s Exclusive Data Science Webinar for you –

Transformation & Opportunities in Analytics & Insights

What are Python patterns?

Python patterns encode programs in different shapes and formats to create recognized patterns. These patterns are built using different combinations of codes to allow programmers logical practice to implement the same strategy in real-life courses and improve programming skills.

Some of the most famous Python programs called the number triangle, pyramid pattern in Python, reverse, mirrored, equilateral, and star pattern in Python equip programmers to accomplish complex programming issues. Therefore, preparing them to take on kind of coding patterns for precision and explaining how to print pattern in Python.

We have multiple kinds of Python pattern programs in this list, so choose your expertise and experience. Make sure that you understand what part of code does what before you move onto the next pattern. Without a proper understanding of how the system works, you would face a lot of difficulty in explaining its working.

Also, Check out our python free courses

Many times, the interviewer asks for an explanation of how you performed pattern printing in Python. Knowing how everything works will help you in answering those questions effectively. Data science certification in your resume improves your chance of getting hired.

While how to print pattern in Python is a typical question for many people, these Python patterns can easily be printed using multiple combinations of multiple for, while, or for while loops. The working of pyramid and star pattern in pattern question in python depends on a few of the major points that include- the outer loop outputs the number of rows in a Python syntax, while to output the number of columns, an inner loop is used.

Check out all trending Python tutorial concepts in 2024

You’ll find the Python code along with every pattern below:

Key Features of Python

Having gained an understanding of what Python pattern programs entail, it’s time to delve into several fundamental characteristics that define Python:

1. Easy to Learn and Readable Language

Python boasts exceptional ease of learning, whose syntax is remarkably straightforward, and its learning curve associated with Python pattern programs is notably gentle. Coding in Python is highly accessible, and using indentation instead of traditional curly braces contributes to the readability of Python code. This quality has led to many educational institutions, ranging from schools to colleges and universities, adopting Python as the initial coding language for their students embarking on their coding journeys.

2. Interpreted Language

Python pattern programs function as the interpreted language, a programming paradigm where programs are typically interpreted rather than compiled into machine-level instructions. In this approach, the instructions aren’t executed directly by the target machine; instead, they are read and run by a separate program called an interpreter. Python includes an Interactive Development Environment (IDLE) as part of its package. This IDLE functions as an interpreter and follows the structure of REPL (Read Evaluate Print Loop), akin to the operation of Node.js. When using IDLE, Python code is executed, and its output is displayed one line at a time. Consequently, when running a line of Python code, any errors are promptly exhibited, including a comprehensive stack trace detailing the error.

3. Dynamically Typed Language

Python pattern programs operate as a dynamically typed language, implying that there’s no requirement to declare the data types of defined variables explicitly. Instead, the Python interpreter is responsible for ascertaining variable data types during runtime, guided by the kinds of components within an expression. While this characteristic enhances coding convenience for programmers, it also introduces the potential for runtime errors. To elaborate, Python adheres to the concept of duck typing.

4. Open Source and Free

Python is an open-source programming language, accessible for free download from its official website. The community of Python pattern programs enthusiasts consistently collaborates to enhance the Python codebase, striving for continual improvement.

5. High-Level Language

A high-level language (HLL) is a programming language that empowers programmers to create programs mainly agnostic to the specifics of a particular computer architecture. These languages are considered “high-level” due to their close resemblance to human languages and their significant abstraction from machine-level languages. Unlike C, Python belongs to the category of high-level languages. Python’s comprehensibility is notably high, and its proximity to the user surpasses that of middle-level languages like C. With Python, there’s no need to retain intricate system architecture details or handle memory management intricacies.

6. Portable

Python pattern programs possess portability, signifying that identical code may be employed across diverse machines. For instance, if you create a Python script on your Mac, it can be executed on Linux or Windows without necessitating any modifications. This eliminates the requirement to adapt the code for various platforms, eliminating the need to develop separate programs for multiple operating systems.

7. Object-Oriented and Procedure-Oriented

A programming language adopts an object-oriented approach when its design centers on data and objects rather than functions and logic. Conversely, a programming language is considered procedure-oriented when its emphasis lies more on parts that can be reused. A pivotal feature of Python is its capability to accommodate object-oriented and procedure-oriented programming paradigms.

8. Support for GUI

One of the critical aspects of any programming language is support for GUI or Graphical User Interface. A user may interact with software easily using the GUI. Moreover, Python pattern programs also offer several toolkits, like wxPython, Tkinter, and JPython, enabling the GUI’s fast and easy development.

You can also consider doing our Python Bootcamp course from upGrad to upskill your career.

Eager to put your Python skills to the test or build something amazing? Dive into our collection of Python project ideas to inspire your next coding adventure.

Python Pattern Program List for Beginners With Examples

Pattern problems in python encode programs in different shapes and formats to create recognized patterns. These patterns are built using different combinations of codes to allow programmers logical practice to implement the same strategy in real-life courses and improve programming skills.

Python design patterns are important because they help to generate repeatable solutions to those problems which are occurring recurrently. So this way continuous coding to solve the same problem is not required. The design patterns help in creating a well-structured software using lesser time. These patterns also helps in creation of objects without specifying their type.

Some of the most famous Python pattern programs called the number triangle, pyramid pattern in Python, reverse, mirrored, equilateral, and star pattern in Python equip programmers to accomplish complex programming issues. Therefore, preparing them to take on kind of coding patterns for precision and explaining how to print pattern in Python.

While how to print pattern in Python is a typical question for many people, these Python patterns can easily be printed using multiple combinations of multiple for, while, or for while loops. The working of pyramid and star pattern in Python depends on a few of the major points that include- the outer loop outputs the number of rows in a Python syntax, while to output the number of columns, an inner loop is used.

The Python pattern programs can be printed with the help of loops. The outer loop handles the number of rows, whereas the inner loop handles the number of columns. Once the pattern style has been worked with, the different patterns can be printed such as numbers, alphabet, stars, etc.

When working with Python pattern programs for practice, you can use an online emulator such as GDB Online Debugger. When it comes Python all pattern programs can be used with emulators without needing to install Python on your system. However, if you want to know how to print pattern in Python offline, we have got your back. You can simply go to Python’s official website and download the right Python version for your OS. Once you finish setting up Python in your system, you can make a .py file and start using the codes below to run programs such as the number pyramid pattern in Python or Python pattern programs using for loop.

Pattern #1: Simple Number Triangle Pattern

Pattern:

1

2 2

3 3 3

4 4 4 4

5 5 5 5 5

Code:

``````rows = 6
for num in range(rows):
for i in range(num):
print(num, end=" ") # print number
# line after each row to display pattern correctly
print(" ")
``````

``````1

2 2

3 3 3

4 4 4 4

5 5 5 5 5``````

Our learners also read: Excel online course free!

Pattern #2: Inverted Pyramid of Numbers

Pattern:

1 1 1 1 1

2 2 2 2

3 3 3

4 4

5

Code:

``````rows = 5
b = 0
for i in range(rows, 0, -1):
b += 1
for j in range(1, i + 1):
print(b, end=' ')
print('\r')
``````

``````1 1 1 1 1

2 2 2 2

3 3 3

4 4

5``````

Pattern #3: Half Pyramid Pattern of Numbers

Pattern:

1 2

1 2 3

1 2 3 4

1 2 3 4 5

Code:

``````rows = 5
for row in range(1, rows+1):
for column in range(1, row + 1):
print(column, end=' ')
print("")
``````

Our learners also read – learn python online free!

Pattern #4: Inverted Pyramid of Descending Numbers

Pattern:

5 5 5 5 5

4 4 4 4

3 3 3

2 2

1

Code:

``````rows = 5
for i in range(rows, 0, -1):
num = i
for j in range(0, i):
print(num, end=' ')
print("\r")
``````

Must read: Data structures and algorithms free course!

Pattern #5: Inverted Pyramid of the Same Digit

Pattern:

5 5 5 5 5

5 5 5 5

5 5 5

5 5

5

Code:

``````rows = 5
num = rows
for i in range(rows, 0, -1):
for j in range(0, i):
print(num, end=' ')
print("\r")
``````

Pattern #6: Reverse Pyramid of Numbers

Pattern:

2 1

3 2 1

4 3 2 1

5 4 3 2 1

Code:

``````rows = 6
for row in range(1, rows):
for column in range(row, 0, -1):
print(column, end=' ')
print("")
``````

Pattern #7: Inverted Half Pyramid Number Pattern

Pattern:

0 1 2 3 4 5

0 1 2 3 4

0 1 2 3

0 1 2

0 1

Code:

``````rows = 5
for i in range(rows, 0, -1):
for j in range(0, i + 1):
print(j, end=' ')
print("\r")
``````

Pattern #8: Pyramid of Natural Numbers Less Than 10

Pattern:

2 3 4

5 6 7 8 9

Code:

``````currentNumber = 1
stop = 2
rows = 3 # Rows you want in your pattern
for i in range(rows):
for column in range(1, stop):
print(currentNumber, end=' ')
currentNumber += 1
print("")
stop += 2
``````

Pattern #9: Reverse Pattern of Digits from 10

Pattern:

1

3 2

6 5 4

10 9 8 7

Code:

``````start = 1
stop = 2
currentNumber = stop
for row in range(2, 6):
for col in range(start, stop):
currentNumber -= 1
print(currentNumber, end=' ')
print("")
start = stop
stop += row
currentNumber = stop

``````

Pattern #10: Unique Pyramid Pattern of Digits

Pattern:

1 2 1

1 2 3 2 1

1 2 3 4 3 2 1

1 2 3 4 5 4 3 2 1

Code:

``````rows = 6
for i in range(1, rows + 1):
for j in range(1, i - 1):
print(j, end=" ")
for j in range(i - 1, 0, -1):
print(j, end=" ")
print()
``````

Pattern #11: Connected Inverted Pyramid Pattern of Numbers

Pattern:

5 4 3 2 1 1 2 3 4 5

5 4 3 2 2 3 4 5

5 4 3 3 4 5

5 4 4 5

5 5

Code:

``````rows = 6
for i in range(0, rows):
for j in range(rows - 1, i, -1):
print(j, '', end='')
for l in range(i):
print(' ', end='')
for k in range(i + 1, rows):
print(k, '', end='')
print('\n')
``````

Pattern #12: Even Number Pyramid Pattern

Pattern:

10

10 8

10 8 6

10 8 6 4

10 8 6 4 2

Code:

``````rows = 5
LastEvenNumber = 2 * rows
evenNumber = LastEvenNumber
for i in range(1, rows+1):
evenNumber = LastEvenNumber
for j in range(i):
print(evenNumber, end=' ')
evenNumber -= 2
print("\r")
``````

Pattern #13: Pyramid of Horizontal Tables

Pattern:

0

0 1

0 2 4

0 3 6 9

0 4 8 12 16

0 5 10 15 20 25

0 6 12 18 24 30 36

Code:

``````rows = 7
for i in range(0, rows):
for j in range(0, i + 1):
print(i * j, end=' ')
print()
``````

Pattern #14: Pyramid Pattern of Alternate Numbers

Pattern:

3 3

5 5 5

7 7 7 7

9 9 9 9 9

Code:

``````rows = 5
i = 1
while i <= rows:
j = 1
while j <= i:
print((i * 2 - 1), end=" ")
j = j + 1
i = i + 1
print()
``````

Pattern #15: Mirrored Pyramid (Right-angled Triangle) Pattern of Numbers

Pattern:

1

1 2

1 2 3

1 2 3 4

1 2 3 4 5

Code:

``````rows = 6
for row in range(1, rows):
num = 1
for j in range(rows, 0, -1):
if j > row:
print(" ", end=' ')
else:
print(num, end=' ')
num += 1
print("")
``````

Pattern #16: Equilateral Triangle with Stars (Asterisk Symbol)

Pattern:

*

* *

* * *

* * * *

* * * * *

* * * * * *

* * * * * * *

Code:

``````print("Print equilateral triangle Pyramid using stars ")
size = 7
m = (2 * size) - 2
for i in range(0, size):
for j in range(0, m):
print(end=" ")
m = m - 1 # decrementing m after each loop
for j in range(0, i + 1):
# printing full Triangle pyramid using stars
print("* ", end=' ')
print(" ")
``````

Pattern #17: Downward Triangle Pattern of Stars

Pattern:

* * * * * *

* * * * *

* * * *

* * *

* *

*

Code:

``````rows = 5
k = 2 * rows - 2
for i in range(rows, -1, -1):
for j in range(k, 0, -1):
print(end=" ")
k = k + 1
for j in range(0, i + 1):
print("*", end=" ")
print("")
``````

Pattern #18: Pyramid Pattern of Stars

Pattern:

* *

* * *

* * * *

* * * * *

Code:

``````rows = 5
for i in range(0, rows):
for j in range(0, i + 1):
print("*", end=' ')
print("\r")
``````

These are some of the most widely used Python patterns fueling expertise for core and advanced Python programming skills. The concept for the pattern for loop is popularly featured in interview questions to check your programming and logic skills. With the nature and syntax of any programming language limiting its uses, Python is comparatively programmer-friendly, with detailed modules to implement relevant coding. These pyramid and triangle pattern in Python can easily be printed using a sequence of multiple loops.

The given patterns above such as star and pyramid pattern in Python, offer an in-depth understanding of patterns in Python and their logical implementation. Besides being used in interviews to check expertise level, patterns like triangle pattern in Python can be further used to learn areas like data science.

Pattern #19: Spiral Star Pattern

Pattern:

``````def spiral_star_pattern(rows):

matrix = [[‘ ‘] * rows for _ in range(rows)]

directions = [(0, 1), (1, 0), (0, -1), (-1, 0)]

direction = 0

row, col = 0, 0

for i in range(1, rows * rows + 1):

matrix[row][col] = ‘*’

new_row, new_col = row + directions[direction][0], col + directions[direction][1]

if 0 <= new_row < rows and 0 <= new_col < rows and matrix[new_row][new_col] == ‘ ‘:

row, col = new_row, new_col

else:

direction = (direction + 1) % 4

row, col = row + directions[direction][0], col + directions[direction][1]

for i in range(rows):

for j in range(rows):

print(matrix[i][j], end=” “)

print()

spiral_star_pattern(4)``````

Pattern #20: Prime Number Spiral Pattern

Pattern:

Code:

``````def is_prime(num):

if num < 2:

return False

for i in range(2, int(num**0.5) + 1):

if num % i == 0:

return False

return True

def prime_spiral_pattern(rows):

matrix = [[‘ ‘] * rows for _ in range(rows)]

directions = [(0, 1), (1, 0), (0, -1), (-1, 0)]

direction = 0

row, col = 0, 0

num = 1

for i in range(1, rows * rows + 1):

if is_prime(num):

matrix[row][col] = num

num += 1

new_row, new_col = row + directions[direction][0], col + directions[direction][1]

if 0 <= new_row < rows and 0 <= new_col < rows and matrix[new_row][new_col] == ‘ ‘:

row, col = new_row, new_col

else:

direction = (direction + 1) % 4

row, col = row + directions[direction][0], col + directions[direction][1]

for i in range(rows):

for j in range(rows):

print(str(matrix[i][j]).rjust(3) if matrix[i][j] != ‘ ‘ else ‘   ‘, end=” “)

print()

prime_spiral_pattern(5)``````

Pattern #21: Sierpinski Triangle

Pattern:

Code:

``````def sierpinski_triangle(n):

def draw_triangle(height):

triangle = []

for i in range(height):

spaces = ‘ ‘ * (height – i – 1)

stars = ‘*’ * (2 * i + 1)

triangle.append(spaces + stars + spaces)

return triangle

def merge_triangles(top, bottom):

return [t1 + ‘ ‘ + t2 for t1, t2 in zip(top, bottom)]

def generate_sierpinski(level):

if level == 0:

return [‘*’]

else:

lower = generate_sierpinski(level – 1)

upper = draw_triangle(2 ** (level – 1))

return merge_triangles(upper, lower)

triangle = generate_sierpinski(n)

for line in triangle:

print(line)

sierpinski_triangle(4)``````

Pattern #22: Fractal Tree

Pattern:

Code:

``````def fractal_tree(height):

def draw_branch(length):

if length <= 0:

return [”]

else:

trunk = ‘|’ * length

branches = [‘/’.rjust(length – i, ‘ ‘) + ‘\\’ + ‘\n’ for i in range(length)]

return branches + [trunk]

def merge_branches(top, bottom):

return [t1 + t2 for t1, t2 in zip(top, bottom)]

def generate_tree(level):

if level == 0:

return [”]

else:

lower = generate_tree(level – 1)

upper = draw_branch(2 ** (level – 1))

return merge_branches(upper, lower)

tree = generate_tree(height)

for line in tree:

print(line)

fractal_tree(4)``````

Pattern #23: Peano Curve

Pattern:

Code:

``````def peano_curve(order, size):

def draw_peano(order, size, direction):

if order == 0:

return []

else:

sub_curve = draw_peano(order – 1, size, direction)

sub_curve.append(direction)

sub_curve += draw_peano(order – 1, size, 0)

sub_curve += draw_peano(order – 1, size, direction)

sub_curve.append(0)

sub_curve += draw_peano(order – 1, size, -direction)

sub_curve += draw_peano(order – 1, size, 0)

sub_curve += draw_peano(order – 1, size, -direction)

sub_curve += draw_peano(order – 1, size, 0)

sub_curve += draw_peano(order – 1, size, direction)

sub_curve.append(0)

sub_curve += draw_peano(order – 1, size, direction)

sub_curve += draw_peano(order – 1, size, 0)

sub_curve += draw_peano(order – 1, size, -direction)

sub_curve += draw_peano(order – 1, size, direction)

return sub_curve

def scale_curve(curve, size):

scaled_curve = []

for step in curve:

scaled_curve.extend([step] * size)

return scaled_curve

curve = draw_peano(order, size, 1)

scaled_curve = scale_curve(curve, size)

# Displaying the output

for step in scaled_curve:

if step == 1:

print(‘|’, end=”)

elif step == -1:

print(‘-‘, end=”)

else:

print(‘ ‘, end=”)

print()

# Example with order=2 and size=3

peano_curve(2, 3)``````

Pattern #24: Hilbert Curve

Pattern:

Code:

``````def hilbert_curve(order, size):

def draw_hilbert(order, size, direction):

if order == 0:

return []

else:

sub_curve = draw_hilbert(order – 1, size, -direction)

sub_curve.append(direction)

sub_curve += draw_hilbert(order – 1, size, direction)

sub_curve.append(0)

sub_curve += draw_hilbert(order – 1, size, direction)

sub_curve.append(-direction)

sub_curve += draw_hilbert(order – 1, size, -direction)

return sub_curve

def scale_curve(curve, size):

scaled_curve = []

for step in curve:

scaled_curve.extend([step] * size)

return scaled_curve

hilbert = draw_hilbert(order, size, 1)

scaled_hilbert = scale_curve(hilbert, size)

for step in scaled_hilbert:

if step == 1:

print(‘|’, end=”)

elif step == -1:

print(‘-‘, end=”)

else:

print(‘ ‘, end=”)

print()

hilbert_curve(3, 3)``````

Pattern #25: Dragon Curve

Pattern:

Code:

``````def dragon_curve(order):

def generate_curve(order):

if order == 0:

return [1]

else:

prev_curve = generate_curve(order – 1)

return prev_curve + [1] + [1 if x == 0 else 0 for x in reversed(prev_curve)]

curve = generate_curve(order)

for step in curve:

if step == 1:

print(‘+’, end=”)

else:

print(‘-‘, end=”)

print()

dragon_curve(5)``````

Pattern #26: Alternating Pyramid Pattern

The alternating pyramid pattern is a very popular pattern program in Python.

Pattern:

Code:

``````def alternating_pyramid_pattern(rows):

def is_even(num):

return num % 2 == 0

def get_element(row, col):

if is_even(row + col):

return str(row)

else:

return ‘*’

for i in range(1, rows + 1):

for j in range(1, 2 * rows):

if j <= rows – i or j >= rows + i:

print(‘ ‘, end=”)

else:

print(get_element(i, j – rows), end=”)

print()

alternating_pyramid_pattern(5)``````

Pattern #27: Butterfly Pattern With Numbers

Let us create a program that prints a butterfly pattern where each half of the butterfly consists of numbers in increasing order and the middle column is left empty. The numbers represent the column-wise sequence. The butterfly wings are symmetrical, and the numbers are printed in a zigzag fashion.

Pattern:

Code:

``````def butterfly_pattern(rows):

for i in range(1, rows + 1):

for j in range(1, 2 * rows + 1):

if j <= i or j > 2 * rows – i:

print(j, end=’ ‘)

else:

print(‘ ‘, end=’ ‘)

print()

for i in range(rows, 0, -1):

for j in range(1, 2 * rows + 1):

if j <= i or j > 2 * rows – i:

print(j, end=’ ‘)

else:

print(‘ ‘, end=’ ‘)

print()

butterfly_pattern(4)``````

Pattern #28: Diamond Pattern With Alphabets

Let us make a program that will print a diamond pattern where each level of the diamond consists of characters from ‘A‘ to the current row’s character.

Pattern:

Code:

``````def diamond_alphabet_pattern(rows):

start_char = ord(‘A’)

for i in range(1, rows + 1):

for j in range(1, rows – i + 1):

print(” “, end=” “)

for j in range(1, 2 * i):

print(chr(start_char + i – 1), end=” “)

print()

for i in range(rows – 1, 0, -1):

for j in range(1, rows – i + 1):

print(” “, end=” “)

for j in range(1, 2 * i):

print(chr(start_char + i – 1), end=” “)

print()

diamond_alphabet_pattern(4)``````

Pattern #29: Pyramid of Squares

Let us build a program that prints a pyramid of squares where each level of the pyramid consists of numbers in an increasing and then decreasing order. The numbers represent the row-wise sequence.

Pattern:

Code:

``````def pyramid_of_squares(rows):

for i in range(1, rows + 1):

for j in range(1, rows – i + 1):

print(” “, end=” “)

for j in range(1, i + 1):

print(j, end=” “)

for j in range(i – 1, 0, -1):

print(j, end=” “)

print()

pyramid_of_squares(5)``````

Pattern #30: Flipped Mountain Pattern

Let us look at an example of the flipped mountain pattern program in Python. This is another example of creating Python pattern programs using for loop.

Pattern:

Code:

``````def flipped_mountain_pattern(height):

for i in range(height, 0, -1):

spaces = ” ” * (height – i)

mountains = “*” * (2 * i – 1)

print(spaces + mountains)

flipped_mountain_pattern(5)``````

Now that we have covered these 30 pattern questions in Python, you should have a strong understanding of patterns in Python.

These are some of the most widely used Python pattern programs fueling expertise for core and advanced Python programming skills. The concept for the pattern for loop is popularly featured in interview questions to check your programming and logic skills.

With the nature and syntax of any programming language limiting its uses, Python is comparatively programmer-friendly, with detailed modules to implement relevant coding. These pyramid and triangle pattern in Python can easily be printed using a sequence of multiple loops.

Python pattern programs is used to develop multiple applications which are compatible with various platforms. It helps in handling data analysis, data visualisation, text processing, etc. The number of patterns depends upon the number of loops. The two loops have their own significance such as the first loop is used for the row. And the second loop works for the column. Pattern matching python is also one of the features which facilitates providing a pattern and the action associated with it. The action can be taken forward if the data fits.

The given pattern program in python above such as star and pyramid pattern in Python, offer an in-depth understanding of patterns in Python and their logical implementation. Besides being used in interviews to check expertise level, patterns like triangle pattern in Python can be further used to learn areas like data science.

The reason why Python is useful is that its syntax is similar to the English language. This syntax helps the programmers in developing a code that can be coded using fewer lines. It follows the interpreter system where the code can be executed immediately as it is written.

If you’re interested in learning more about Python, go to our blog and find multiple detailed articles on this topic.

If you have any questions regarding the Python pattern programs we’ve shared here, please let us know through the comments below. We’d love to hear from you.

There are plenty of Python pattern programs out there and the possibilities are endless when it comes to programs with symbol patterns in Python or number pattern programs in Python. Pattern problems in Python or patterns in Python are an essential part of Python programming and Data Science in general.

If you are curious to learn about data science, check out IIIT-B & upGrad’s Executive PG Program in Data Science which is created for working professionals and offers 10+ case studies & projects, practical hands-on workshops, mentorship with industry experts, 1-on-1 with industry mentors, 400+ hours of learning and job assistance with top firms.

1. How do you print a pattern in Python?

In the pattern questions in python language, for loop is used for printing different patterns. Printing different patterns with a few twists is the most common type of programming question that is asked in the interviews. A pattern can be printed by using multiple loops. It is not possible to print a pattern with a single for loop. The concept followed by a majority of pattern programs is: 1. For printing the number of rows, the outer loop is utilized. 2.For printing the number of columns, the inner loop is utilized. 3. As per the required place in Python, a variable is used to print whitespaces in the program. Every pattern program in python is made with the use of these concepts itself. By defining three different variables for rows, columns, and whitespaces, respectively, you can create any pattern based on your requirements.

2. What are Python functions?

A function is a block of reusable, organized code that is useful for performing a single action multiple times. Functions make it pretty easy to increase modularity and reuse the code and make it easy to maintain the application code. Python allows the users to create different functions along with the availability of different built-in functions like print(), ascii(), and many more. There are four types of Python functions: 1. No return and no argument value of the function 2. Function with a return value but no arguments 3. Function with no return value but an argument 4. Function with both return value and arguments.

3. What are the different types of design patterns being used in Python?

There are three different types of design patterns in Python, with each of them being used for performing different functions. Patterns are used in Python for emphasizing code readability with the use of notable indentation. Programmers are able to write clear and logical code for small as well as huge projects with the help of design patterns. Different types of design patterns are: 1. Creational Patterns 2. Structural Patterns 3. Behavioral Patterns A majority of enterprise development software is built with the usage of these design patterns. By gaining a proper understanding of these design pattern programs in python, one can make its use pretty simple and also make the code easy to understand.

4. What does do in python?

In python is called a backlash or escape, it is a special character representing white space characters. is a carriage return. In python whenever a string has been added with the prefix ‘r’ or ‘R’ that string becomes a raw string.

5. Is python good for design patterns?

Python is a very useful programming language that has many reasons attached to it. It is a very strong language for object-oriented programming. It is portable and quick. Design patterns are another powerful feature of python pattern questions. Software engineers find it useful because the design patterns generate solutions for the constantly occurring problems, which saves the time and effort to code monotonous for the constantly occurring problem.

6. Should I use R or Python?

The usage is dependent upon the kind of task at hand. While both of them are good programming languages and serve different purposes, python would be considered better than R for various reasons. For example, pattern programs in python is portable and easily readable also python is known to be serving multiple purposes.

7. What is = = in python?

There are certain operators in python for better usage. The = = is also one of the functions that represent an equal sign. For example, x= = y, where the x and y can be any values. For example, x=1 y= 2 Print ( x == y) # returns False because 1 is not equal to 2.

8. What is the I in python?

Such like the operators, variables are also a feature of python. Where the ‘i’ is also one of the operators. Where the variable i is used to storing the integer value in the loop. This value will be stored within the loop only.

9. What does mean in python?

In python is called a backlash or escape, it is a special character representing white space characters. Just like is a carriage return similarly /n is also having a meaning attached to it. The represents a new line character. This represents the end of a line of text.

10. What is a literal string in python?

The literal string is the sequence of characters from the source. They are used to represent the sequence. There is a way of writing the literal strings, they can be written by adding the text or group of characters, and they should be surrounded by either single, double, or triple quotes.

11. What are some examples of Python pattern programs?

What are some examples of Python pattern programs? Python pattern programs are great exercises for learning about nested loops and conditional statements. Some common examples include creating patterns like the pyramid, diamond, or star patterns using asterisks. For instance, students might write a program to display a simple pyramid pattern where the number of rows is determined by user input. Other examples involve creating number patterns, where numbers increment or decrement across rows and columns, or character patterns using ASCII values.

Rohit Sharma

Rohit Sharma is the Program Director for the UpGrad-IIIT Bangalore, PG Diploma Data Analytics Program.

See More

SUGGESTED BLOGS

5.64K+

Announcing PG Diploma in Data Analytics with IIIT Bangalore

08 Feb'16

5.09K+

How Organisations can Benefit from Bridging the Data Scientist Gap

03 May'16

5.13K+

Computer Center turns Data Center; Computer Science turns Data Science

11 May'16

5.19K+

Enlarge the analytics &amp; data science talent pool

14 May'16

5.68K+

We are happy to announce our partnership with Analytics Vidhya, a pioneer in the Data Science community. Analytics Vidhya is well known for its impressive knowledge base, be it the hackathons they organize or tools and frameworks that they help demystify. In their own words, “Analytics Vidhya is a passionate community for Analytics/Data Science professionals, and aims at bringing together influencers and learners to augment knowledge”. Explore our Popular Data Science Degrees Executive Post Graduate Programme in Data Science from IIITB Professional Certificate Program in Data Science for Business Decision Making Master of Science in Data Science from University of Arizona Advanced Certificate Programme in Data Science from IIITB Professional Certificate Program in Data Science and Business Analytics from University of Maryland Data Science Degrees We are joining hands to provide candidates of our PG Diploma in Data Analytics, an added exposure to UpGrad Industry Projects. While the program already covers multiple case studies and projects in the core curriculum, these projects with Analytics Vidhya will be optional for students to help them further hone their skills on data-driven problem-solving techniques. To further facilitate the learning, Analytics Vidhya will also be providing mentoring sessions to help our students with the approach to these projects. Our learners also read: Free Online Python Course for Beginners Top Essential Data Science Skills to Learn SL. No Top Data Science Skills to Learn 1 Data Analysis Certifications Inferential Statistics Certifications 2 Hypothesis Testing Certifications Logistic Regression Certifications 3 Linear Regression Certifications Linear Algebra for Analysis Certifications This collaboration brings great value to the program by allowing our students to add another dimension to their resume which goes beyond the capstone projects and case studies that are already a part of the program. Read our popular Data Science Articles Data Science Career Path: A Comprehensive Career Guide Data Science Career Growth: The Future of Work is here Why is Data Science Important? 8 Ways Data Science Brings Value to the Business Relevance of Data Science for Managers The Ultimate Data Science Cheat Sheet Every Data Scientists Should Have Top 6 Reasons Why You Should Become a Data Scientist A Day in the Life of Data Scientist: What do they do? Myth Busted: Data Science doesn’t need Coding Business Intelligence vs Data Science: What are the differences? Through this, we hope our students would be equipped to showcase their ability to dissect any problem statement and interpret what the model results mean for business decision making. This also helps us to differentiate UpGrad-IIITB students in the eyes of the recruiters. upGrad’s Exclusive Data Science Webinar for you – Transformation & Opportunities in Analytics & Insights document.createElement('video'); https://cdn.upgrad.com/blog/jai-kapoor.mp4 Check out our data science training to upskill yourself
09 Oct'16

5.69K+

Data Analytics Student Speak: Story of Thulasiram

07 Dec'16

5.12K+

Decoding Easy vs. Not-So-Easy Data Analytics

14 Dec'16

5.14K+

15 Dec'16

5.22K+

What&#8217;s Cooking in Data Analytics? Team Data at UpGrad Speaks Up!

23 Dec'16

SUPPORT

MBA

DATA SCIENCE & ANALYTICS

DOCTORATE

SOFTWARE & TECH

AI & ML

MARKETING

MANAGEMENT

LAW