🐍 Learning Python – Understanding Data Types Today, I practiced Python data types and learned how different types of values are stored in variables. 📌 What this program demonstrates: ✅ str → for storing text (name) ✅ int → for storing whole numbers (age) ✅ float → for storing decimal values (price) ✅ bool → for storing True/False values ✅ NoneType → for representing no value 🔍 I also learned how to use the type() function to check the data type of a variable, which is very helpful while debugging and understanding code behavior. This practice strengthened my understanding of Python basics and how data is handled internally. Step by step, I’m building a solid foundation in Python for my future goals in AI & Machine Learning 🚀 #Python #PythonBeginner #DataTypes #LearningPython #CodingJourney #Programming #SoftwareEngineering #AI #MachineLearning

✓ Advance Python Course with Machine and Deep Learning. ✓ Exercise ( Task 02 ). ✓ Statement:- 1) ----- Write a python program that asks the user for the two whole numbers. 2) ----- Calculate the product ( multiply them ). 3) ----- If the product is 1000 or less, the program should show the product. 4) ----- If the product is more than 1000, the program should show the sum ( add them ) instead. #LearningInPublic #CodingNewBie #PythonCourse #Programming #FutureGoals #Coding

✓ Advance Python Course with Machine and Deep Learning. ✓ Exercise ( Task 01 ). ✓ Statement:- 1) ----- Write a python program that asks the user for the two whole numbers. 2) ----- Calculate the product ( multiply them ). 3) ----- If the product is 1000 or less, the program should show the product. 4) ----- If the product is more than 1000, the program should show the sum ( add them ) instead. #LearningInPublic #CodingNewBie #PythonCourse #Programming #FutureGoals #Coding

🚀 Day 1 of My Artificial Intelligence Learning Journey Today I started strengthening my Python fundamentals, which are essential for learning Artificial Intelligence and Machine Learning. Here are some concepts I learned today: 🔹 Python Variables – used to store and manipulate data 🔹 Variable Naming Rules – proper naming conventions in Python 🔹 Python Data Types – int, float, string, list, tuple, dictionary, set, boolean 🔹 Strings in Python – text data using single or double quotes 🔹 Variable Scope – local vs global variables 🔹 Python Operators – arithmetic, assignment, comparison, logical, membership, and bitwise operators 📌 Key Takeaway: A strong understanding of Python fundamentals is important before diving deeper into AI and Machine Learning. This is Day 1, and I’m excited to continue learning and sharing my journey. #Python #ArtificialIntelligence #MachineLearning #AIJourney #LearningInPublic

Most people learning AI skip this one library.Then they struggle with everything else. 🤦 That library is NumPy. Here's why it matters in30 seconds 👇 Python lists are great — but for data and math? They're slow. They need loops. They're messy. NumPy fixes all of that. No loops needed Up to 50x faster. One line does the job. Are you learning Python right now? Drop a 🔢 below! #Python #NumPy #DataScience #MachineLearning #AIStudent #LearningInPublic #PythonDeveloper #AI #Tech

✓ Advance Python Course with Machine and Deep Learning. ✓ Exercise ( Task 03 ). ✓ Statement:- 1) ----- Write a program that ask the user for a single number. 2) ----- The program should tell the user if that number is even or odd. 3) ----- Hint: Use the % ( reminder ) operator. 4) ----- Hint: If a number is divided by 2 leaves 0 reminder it is even. #LearningInPublic #CodingNewBie #PythonCourse #Programming #FutureGoals #Coding

🐍 Learning Python – Arithmetic Operations Today, I practiced basic arithmetic operations in Python using variables. 📌 What this program does: ✅ Stores numeric values in variables ✅ Performs addition and subtraction ✅ Prints the calculated results using print() 💡 This helped me understand how Python handles mathematical operations and how variables make calculations easy and reusable. I’m learning Python step by step and strengthening my programming fundamentals for my journey towards Artificial Intelligence and Machine Learning 🚀 Feedback and suggestions are welcome 😊 #Python #PythonBeginner #ArithmeticOperations #LearningPython #CodingJourney #Programming #SoftwareEngineering #AI #MachineLearning

🚀 Day 2 of My Artificial Intelligence Learning Journey Continuing my Python learning journey for AI and Machine Learning, today I explored some important data structures and concepts in Python. Here’s what I learned today: 🔹 Stacks and Queues – Understanding how data can be organized and processed using LIFO (Stack) and FIFO (Queue). 🔹 Queue Implementation – Practiced using Python’s queue module and collections.deque. 🔹 Lists – Learned how lists store collections of items and explored common methods like append(), insert(), remove(), and pop(). 🔹 Dictionaries – Key-value data structure used to store and access data efficiently. 🔹 Sets – Unordered collection of unique elements and useful methods like add(), remove(), and discard(). 📌 Key Takeaway: Understanding data structures in Python is essential because they help organize and process data efficiently—an important skill for building AI and machine learning models. Excited to continue learning and building a strong foundation in Python for AI. #Python #ArtificialIntelligence #MachineLearning #DataStructures #LearningInPublic #AIJourney

Day 20 of My Python Learning Journey Today I learned about Shallow Copy and Deep Copy in Python. 📌 Shallow Copy A shallow copy creates a new object, but the nested objects inside it are still referenced from the original object. So, changes in nested elements will affect both copies. Example: import copy list1 = [[1,2,3],[4,5,6]] shallow = copy.copy(list1) shallow[0][0] = 100 print(list1) print(shallow) 📌 Deep Copy A deep copy creates a completely independent copy of the original object including all nested objects. Changes in one object will not affect the other. Example: import copy list1 = [[1,2,3],[4,5,6]] deep = copy.deepcopy(list1) deep[0][0] = 100 print(list1) print(deep) ✅ Key Difference Shallow Copy → Copies only the outer object Deep Copy → Copies outer object + all nested objects Learning these concepts helps in understanding memory handling and object references in Python #Python #PythonLearning #Day20 #CodingJourney #Programming #LearningEveryday

Today, I am focusing on building my skills in Machine Learning + Python Coding step by step. I believe strong fundamentals create strong results. Currently learning: ✅ Python Core Concepts ✅ Data Handling (Pandas & NumPy) ✅ Data Visualization (Matplotlib) ✅ Machine Learning Basics My goal is to become confident in ML by understanding both theory and practical implementation. If you are also learning ML, let’s connect and grow together! #MachineLearning #Python #DataScience #CodingJourney #LearningEveryday