Python Data Types Tutorial for Beginners

Python Tutorial 10 🚀 ► https://lnkd.in/ga9pDUPv ► Learn about Python data types in this beginner-friendly tutorial! Understand integers, floats, strings, and more. Essential for all new Python coders. Python Tutorials Playlist:  ► https://lnkd.in/g_nd-J3m #PythonProgramming #LearnPython #PythonTutorial #CodingTips #PythonForBeginners #ProgrammingLife #PythonCode #TechTutorial 

Python Tip of the Day 🐍 Python stores variables as references to objects in memory — not just raw values. Tools like Python Tutor help visualize frames, objects, and how data is connected. Seeing execution step-by-step makes program behavior easier to understand. When you see the flow, the logic clicks. Day 11 of building Python basics #PythonDaily #PythonBasics #DataAnalytics #LearningPython #Python

Day 70 – Lambda Functions in Python: Day 70 focused on learning Lambda functions in Python, which are small anonymous functions written in a single line. I practiced creating simple lambda functions to calculate the square of a number, add two numbers, and return a greeting message. This exercise helped me understand how lambda functions make code shorter and more readable when defining small, quick operations. Working with lambda functions improved my understanding of functional programming concepts and how Python allows concise function definitions for simple tasks. GitHub Code: https://lnkd.in/ghqQ-bEm #Day70 #100DaysOfCode #Python #LambdaFunction #LearningPython #CodingJourney #DailyCoding #Consistency

Day 49 – Working with Dictionaries in Python: Day 49 was all about exploring Python dictionaries . This task covered creating a dictionary, accessing values using keys, safely retrieving data with .get(), adding new key–value pairs, and updating existing values. A great exercise to understand how dictionaries help manage structured data efficiently. GitHub Code: https://lnkd.in/gFbksiVS #Day49 #100DaysOfCode #Python #Dictionaries #DataStructures #KeyValuePairs #DailyCoding #Consistency

For almost a decade, I did not pay much attention to Python’s collections library. Once I started using it, I realized how much simpler many problems could be. Have you ever wondered why Python has a collections library when we already have list and dict? The collections module provides specialized data structures like Counter, defaultdict, deque, and more, each designed to solve very specific problems. If you believe good code starts with good data structures, then Python's collections library is worth mastering. #Python #Collections #DataStructures #CleanCode #CodeQuality #DeveloperTips

Day 48 – Pangram Checker in Python: Day 48 focused on checking whether a sentence is a pangram—one that contains every letter of the English alphabet at least once. By leveraging Python sets and case normalization, this solution efficiently validates sentences while reinforcing set operations and string handling fundamentals. GitHub Code: https://lnkd.in/grd5wcGj #Day48 #100DaysOfCode #Python #Pangram #SetOperations #StringHandling #ProblemSolving #DailyCoding

🚀 Day 22/30 – Mini Python App Challenge Built a Rule-Based Mini Chatbot 🤖 using Python. Features: • Keyword-based responses • Real-time interaction • AI-like logic without libraries Concepts used: Conditionals, loops, string processing GitHub 👇 🔗 https://lnkd.in/dCSFW_Hd #Python #LearningInPublic #30DaysOfCode #Chatbot #LogicBuilding #github

Day 59 – List Comprehension for Squaring Numbers: Day 59 focused on using list comprehension to efficiently generate squared values from a list of numbers. The task also included accepting dynamic user inputs, reinforcing concepts of concise coding, iteration, and functional-style thinking in Python. GitHub Code: https://lnkd.in/gqHUDRJt #Day59 #100DaysOfCode #Python #ListComprehension #DataStructures #LogicBuilding #DailyCoding #Consistency

Day 69 – Try, Except, Finally Example in Python: Day 69 focused on practicing a Try–Except–Finally example in Python using user input. In this program, I asked the user to enter a number and attempted to divide 100 by that number. I handled possible errors such as invalid input using ValueError and division by zero using ZeroDivisionError. I also used a finally block to ensure a message is displayed when the program execution completes. This exercise helped me understand how to safely handle user input errors and make Python programs more reliable. GitHub Code: https://lnkd.in/g__F-gup #Day69 #100DaysOfCode #Python #ExceptionHandling #TryExceptFinally #LearningPython #CodingJourney #DailyCoding #Consistency

🚀 Day 21/30 – Mini Python App Challenge Built a Math Quiz Generator 🧮 using Python. Features: • Random arithmetic questions • Instant feedback • Final score calculation Concepts used: random, loops, conditionals GitHub 👇 🔗 https://lnkd.in/dCSFW_Hd #Python #LearningInPublic #30DaysOfCode #LogicBuilding #github #dailyposting