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DEOnly real python Dev's can answer it
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@devin.py
#Modulo Formula In Python
شاهد فيديو ريلز عن Modulo Formula In Python من أشخاص حول العالم.
شاهد بشكل مجهول دون تسجيل الدخول.
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MAImport Python code in Simulink using Python Importer and generate custom blocks for specified functions
Get the full tutorial at the link in bio
@matlab
504
C_Most Python beginners memorize syntax… but don’t understand the difference.
List vs Tuple vs Set vs Dict — mutable, ordered, duplicates?
If this confused you before, this cheat sheet will save you hours.
📌 Save this for later.
💬 Comment “PYTHON” if you want more quick breakdowns like this.
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@c_python_programminghub
414
PY🐍 Python Quiz — Can you guess the output?
a = "5"
b = 5
print(a + str(b))
Will it print 10… or something else? 🤔
Comment your answer before checking!
This quick challenge tests your understanding of Python typecasting and how Python handles strings and integers together. Mastering these basics is essential for writing clean and error-free Python code.
👇 Drop your answer in the comments!
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@python.snk
15.5K
COPython Day 19 ✅ | User-Defined Modules in Python 🐍
Today I explained how to create our own module using a calculator example ➕➖✖️➗
Learn how functions from one file can be reused in another file easily.
Consistency over motivation 💪
Let’s keep learning 🚀
@codewithkirann
195
ORPython - Most people think Python was created because of the snake… but that’s not true.
Back in 1989, programming languages were powerful but extremely complicated. Developers spent more time fighting the syntax than actually solving problems. A Dutch programmer, Guido van Rossum, believed coding should be simple, readable, and closer to human thinking.
During the Christmas holidays, he started working on a side project to build a language that was easy to learn but still powerful. His goal was simple — make programming less painful and more productive.
He named it “Python” after the comedy show Monty Python’s Flying Circus, not the snake.
What started as a small experiment later became one of the most influential programming languages in the world. Today Python powers artificial intelligence, data science, automation, and even space research.
Sometimes, the biggest innovations start with a simple question:
“What if coding could be easier for humans?”
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@orbit_of_growth
30.5K
LE🐍 Python Module Tutorial in a Nutshell! 🚀
Learn the power of Python modules with this quick tutorial! 🤓 Explore the world of modular programming with a simple example and clear explanations. 💻 Ready to level up your Python skills? Let’s dive in together! 🚀 #PythonModules #CodingShorts #LearnPython #LearnzDevelopementHub #LearnInTamil #Tamil
@learnzconnect
11.1K
PYJava vs Python: Factorial Algorithm Code Comparison
How do Java and Python Developers solve the Factorial problem? Watch this insightful comparison and see the differences in the implementation of this simple algorithm in both languages! #JavaVsPython #TechComparison #DeveloperJourney #FactorialAlgo#factory
Explaination :
In this comparison, the Junior Developer computes the factorial using a basic loop, while the Senior Developer uses a more efficient, concise method with a built-in function or a more optimized approach.
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@pythoncoding4u
26.1K
RELooking to test your Python skills? Whether you’re a beginner, intermediate, or advanced programmer, these project ideas will push your coding abilities to the next level!
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@rebellionrider
79.4K
STPython Graphics Design..
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Visit our site for free tutorials and source codes , HTML, CSS, Python, JavaScript, Java and More Coding. www.studymuch.in
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@studymuch.in
1.3M
CO🚀 Master Data Structures & Algorithms in Python: Your Detailed Roadmap! And Projects ✅Save for later💎
Follow this step-by-step guide to become a DSA pro in Python:
Week 1: Arrays & Strings
Learn the basics of arrays, strings, and their operations.
Practice problems: Reverse a string, find the maximum subarray sum.
Week 2: Linked Lists & Recursion
Understand linked lists and the power of recursion.
Practice problems: Reverse a linked list, detect cycles in a linked list.
Week 3: Stacks & Queues
Master the implementation and applications of stacks and queues.
Practice problems: Implement a stack using queues, evaluate postfix expressions.
Week 4: Trees & Binary Search Trees
Explore tree traversal methods and BST properties.
Practice problems: Inorder traversal, check if a tree is balanced.
Week 5: Graphs & Graph Algorithms
Dive into graphs, BFS, DFS, and shortest path algorithms.
Practice problems: Implement BFS and DFS, find the shortest path in a graph.
Week 6: Sorting & Searching Algorithms
Learn and implement key sorting algorithms and binary search.
Practice problems: Merge sort, quick sort, binary search in a rotated array.
Week 7: Dynamic Programming
Understand the principles of dynamic programming and common patterns.
Practice problems: Fibonacci sequence, longest common subsequence.
Week 8: Advanced Topics & Problem-Solving
Tackle advanced DSA topics like segment trees and trie data structures.
Practice problems: Implement a trie, solve range queries with segment trees.
You can get the projects:
1. Follow @code_matrix7
2. Comment "Project"
3. DM me this reel
I will share the projects in your DM✅
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@code_matrix7
103.0K
ARWe use Poisson Distribution to predict the chances that a Soccer Player will score 2 goals.
This alone might not increase your odds but this is a good intro on how math and coding can help you out. This is a starting point.
The only import we need is math to calculate Euler’s Number (e).
A simpler way to get the factorial is to use factorial(). But for the sake of this video we want to get more familiar with for loops so we don’t use the shortcut.
If you have any Questions Comment them below.
Follow Goal 10k
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#coding #programming #python #project #vscode
@arrionknight
✨ دليل اكتشاف #Modulo Formula In Python
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