🐍📺 Summing Values the Pythonic Way With sum() [Video] In this video course, you'll learn how to use Python's sum() function to add numeric values together. You'll also learn how to concatenate sequences, such as lists and tuples, using sum(). #python
Python sum() Function Tutorial
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Understanding Division in Python – Integer vs Float While practicing Python, I worked on a simple yet important concept: division operations. a = int(input()) b = int(input()) print(a // b) print(a / b) What’s happening here? // → Integer Division Returns only the whole number (quotient), discarding decimals / → Float Division Returns the exact result, including decimal values -> Example: If the input is: 4 6 Output will be: 0 0.6666666666666666 -> Key Takeaway: Understanding the difference between integer and float division is essential when solving real-world problems, especially in data processing and algorithm design. #Python #CodingJourney #100DaysOfCode #LearningPython #ProgrammingBasics
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💡 Tiny Python tip that improves code clarity With a normal tuple, you have to remember what each index stands for. That knowledge lives in your head, not in the code. `namedtuple` fixes this by giving semantic meaning to each position. You still get immutability and performance, but with clear, self-documenting access. #Python #PythonProgramming #CleanCode #CodingBestPractices #CodeReadability
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A Python dictionary is one of the most useful data structures you’ll work with, especially once you start handling real-world data. This guide shows you how to use a dictionary in Python, from creating key-value pairs to accessing, updating, and looping through nested data structures. If you’re learning Python fundamentals, this is one you’ll use constantly: https://buff.ly/TXy3Hjh
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Introduction to NumPy NumPy is a Python library used for working with arrays. NumPy is a library consisting of multidimensional array objects and a collection of routines for processing the arrays In Python we have lists that serve the purpose of arrays, but they are slow to process. NumPy aims to provide an array object which works faster than traditional Python lists. NumPy arrays are stored at one continuous place in memory unlike lists, so processes can access and manipulate them very efficiently.
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Do you know the difference between @staticmethod and @classmethod in Python? Most beginners use one or the other without fully understanding why. @staticmethod does not receive any implicit argument. It belongs to the class only for organisational purposes — it could live anywhere, but it makes sense to keep it there. @classmethod receives the class itself as the first argument, conventionally called cls. This means it can access and modify class-level data. The rule is simple: if the method needs the class, use @classmethod. If it needs nothing, use @staticmethod. In the image below you can see both methods applied to the same class. validate_email does not need to know anything about the class — it just validates a string. increment_count needs access to user_count, which belongs to the class itself, not to any specific instance. 💭 Have you ever used one when you should have used the other? #Python #Backend #PythonDeveloper #BuildingInPublic #HKingsJourney
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Newsflash: Python is the new Excel. Don't be the only one stuck with 1,048,576 rows. So to avoid this fate, here's a 7-day crash course to help you finally quit the green icon: https://lnkd.in/d7neSJXZ
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I’m excited to share that I’ve uploaded a new video on my YouTube channel! 🎥 In this video, I explain the fundamentals of Python Variables and Naming Conventions in a simple and beginner-friendly way. Understanding variables is one of the first and most important steps in programming. I’ve also covered best practices for naming variables, which helps in writing clean and readable code. 📌 What you will learn: What are variables in Python How to create and use variables Best naming conventions (camelCase, snake_case) Common mistakes to avoid If you are starting your journey in Python, this video will be very helpful. 🔗 https://lnkd.in/drrMXj3F I would really appreciate your support and feedback!
Topic : 9 Python Variable Naming Mistakes ❌ vs Best Practice
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