🚀 Day 1: Learning Python Input & Output Today I learned how Python takes input and shows output. 📌 Example: name = input("Enter your name: ") print("Hello", name) 📌 Output: Enter your name: Namitha Hello Namitha 💡 What I understood: - input() is used to take user data - print() is used to display output 🧠 Practice: Try taking your age as input and print it. #Python #CodingJourney #LearnPython #Beginners

Python Tips: Cleaning Usernames with .rstrip() We can extract the username using .split(). However, the output still have unwanted numbers at the end. But don't worry. There is another method that can extract username by removing numbers at the end. .rstrip() method! How it works: The rstrip() method stands for "Right Strip". It scans the string from the right side and removes any characters that match the ones we provided in the brackets. It stops as soon as it hits a character that is NOT in our list. The Limitation: Keep in mind, rstrip() only works for characters at the end of the string. If your numbers are in the middle, we need a different approach. Which is: .isalpha() #Python #DataCleaning #CodingTips

Anatomy of a Python Function 🐍 This animated guide visualizes how a Python function works: 1. Input: Arguments (like 'Alex') are passed into the function via parameters (name). 2. Process: The "Function Body" executes logic on that data. 3. Output: A value is computed and returned back to where the function was called.

🐍 Python Tip 5: Use set() to remove duplicates from a list Sometimes while working with data, we may have duplicate values in a list. Instead of writing extra logic, Python provides a simple way: numbers = [1, 2, 2, 3, 4, 4, 5] unique_numbers = list(set(numbers)) print(unique_numbers) Output: [1, 2, 3, 4, 5] Why this is useful? • Quick way to remove duplicates • Very helpful in data preprocessing • Saves time and keeps code simple Small tricks like this make working with data much easier. Note: This does not preserve order. If order matters, a different approach is needed. #Python #PythonTips #DataScience #CodingTips #Programming #LearnPython

🔁 Python Program: Fibonacci Series ```python n = 6 a, b = 0, 1 for _ in range(n): print(a) a, b = b, a + b ``` 💡 Builds strong logic thinking #Python #Logic

Function with Variable Number of Arguments Python def add_all(*numbers): total = 0 for num in numbers: total += num return total print(add_all(1, 2, 3, 4, 5)) # Output: # 15

Most Python beginners get confused with this concept. List vs Dictionary. Both store data. But they work very differently. List: • Stores values in order • Access using index • Example: numbers = [10, 20, 30] Dictionary: • Stores data as key-value pairs • Access using keys • Example: student = {"name": "Mani", "age": 25} So when should you use them? 👉 Use a List when order matters 👉 Use a Dictionary when you want labeled data 👉 Did you know this difference before? #BluJayTechnologies #Python #SoftwareCoaching #ListVsDictionary

🐍📰 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

🐍 Python Interview Question 📌 How is a dictionary different from a list? Lists and dictionaries are two fundamental data structures in Python, but they serve different purposes. 🔹 List: ✔ Ordered collection of items ✔ Accessed using index (position) ✔ Ideal for sequential data 🔹 Dictionary: ✔ Collection of key–value pairs ✔ Accessed using unique keys ✔ Best for associative or mapped data 🔹 Example: ✔ List → [10, 20, 30] ✔ Dictionary → {"a": 10, "b": 20, "c": 30} 💡 In Short: Use lists when order matters, and dictionaries when you need fast lookups using keys 🚀 👉For Python Course Details  Visit : https://lnkd.in/gf23u2Rh . #Python #DataStructures #Coding #Programming #InterviewPreparation #TechLearning #AshokIT

Just built a Password Strength Checker in Python It analyzes passwords using rules like length, uppercase/lowercase letters, digits, and special characters to classify them as Weak, Moderate, or Strong. Tech: Python, Regex, Dataclasses, Pytest link:https://lnkd.in/ehj-XRpw #Python #CodingJourney