Programming Valley’s Post

So, needless to say, this is an entertaining and understandable way to explain this topic to some programmers who say it is, in fact, very complicated.

🐍📰 Dictionaries in Python Learn how dictionaries in Python work: create and modify key-value pairs using dict literals, the dict() constructor, built-in methods, and operators https://lnkd.in/dWNJjc4a

Storing 10,000 Numbers in Python — List vs Generator shows a surprising memory difference. When working with large datasets in Python, choosing the right data structure can directly impact memory efficiency and performance. I compared memory usage between a List and a Generator while storing the same range of numbers using sys.getsizeof(). Here is what happens behind the scenes: A List stores all values in memory at once. - When we create a list using list comprehension, Python generates and stores every element immediately. This makes data easily accessible but increases memory consumption. A Generator works differently. - Instead of storing all values, it produces elements one at a time only when required. This concept is called lazy evaluation, which helps reduce memory usage significantly. Observations: • Lists store complete data in memory. • Generators generate values only when needed. • Memory difference becomes huge as dataset size increases. Understanding this helps in writing memory-efficient and scalable Python applications. Note: Memory values may vary depending on system architecture and Python version. (Outpput in bytes)

🐍📰 Variables in Python: Usage and Best Practices Explore Python variables from creation to best practices, covering naming conventions, dynamic typing, variable scope, and type hints with examples https://lnkd.in/dUFf5QGE

3/100 Python Series Decision Making in Python (if – elif – else) In real life, we make decisions every day… Python can do the same 👇 🔹 if Runs when a condition is True age = 18 if age >= 18:   print("Adult") 🔹 elif (else if) Checks another condition if the first one is False marks = 75 if marks >= 90: print("A") elif marks >= 70: print("B") 🔹 else Runs when none of the above conditions are True marks = 50 if marks >= 90:   print("A") elif marks >= 70:   print("B") else:   print("C") 💡 Simple Understanding 👉 if → first condition 👉 elif → additional conditions 👉 else → default case 🚀 Real-Life Examples Checking age → Adult or Minor Login system → Correct / Incorrect password Grades → A, B, C 💬 Question for you: Where would you use if-elif-else in a real project? 👇 #python #if #programming

Toady I am Starting to revise Advanced Python Concepts : Topic 1 : OOPS with Python -> CLASSES -> OBJECTS -> CONSTRUCTORS Need of OOPS Concepts : 1. Reusability of code 2. Scalability of code 3. Readability of code . Question -> Functions also achieve the reusability then why OOPS concepts in python ? Reason : Rather than handling thousands of functions independently OOPS provide a concise and efficient way to handle multiple functions . This Reason emerges the concept of "CLASSES" in OOPS : -> "CLASSES" are nothing is a way to create bundle of related functions and related variables . -> "OBJECTS" -> This are the way to access or use the predefined classes . Note : For a particular class an infinite objects can be create . ->"CONSTRUCTOR" ->Usage of constructor : Use constructor when don't want to use default values Related Terms : 1. Instance Variable : The variable that are created at the time of object creation . Important Property of "Constructor" : Its automatically triggered when an class of an constructor called . This is the main concepts that are used at the time of writing python Scripts .

🐍📰 In this tutorial, you'll learn how and when to use the len() Python function. You'll also learn how to customize your class definitions so that objects of a user-defined class can be used as arguments in len() #python

📖Learning Python: Conditional Statements. In python journey, understanding conditional statements is essential. They help your program make decisions based on different situations. What are Conditional Statements? They allow your code to execute specific blocks only when a condition is True. 1. if Statement Executes code when a condition is true. Python x = 10 if x > 5: print("x is greater than 5") 2. if-else Statement Chooses between two conditions. Python num = 7 if num % 2 == 0: print("Even") else: print("Odd") 3. if-elif-else Statement Used when you have multiple conditions. Python marks = 85 if marks >= 90: print("Grade A") elif marks >= 70: print("Grade B") else: print("Grade C") 4. Nested if Statement An if inside another if. Python age = 20 if age >= 18: if age >= 21: print("Eligible for everything") else: print("Eligible with some restrictions") #PythonLearning #CodingJourney #Beginners #Programming #DataAnalytics #LearnPython #TechSkills

STOP scrolling if you're learning Python 😳🔥 These Python LIST METHODS are used in almost every project 💻 👉 append() – add item 👉 extend() – add multiple 👉 insert() – add at position 👉 remove() – delete item 👉 pop() – remove last 👉 sort() – arrange 👉 reverse() – flip list 👉 count() – count items 👉 index() – find position 💡 Master these = Strong Python basics 📌 Save this post for later ❤️ Like & Share with friends #python