Python Arithmetic Operations with Variables

✓ 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

✓ 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 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

🚀 Day 4 of My Artificial Intelligence Learning Journey Today I continued strengthening my Python programming fundamentals, which are essential for building a strong foundation in Artificial Intelligence and Machine Learning. Here’s what I learned today: 🔹 Functions in Python – How functions help organize and reuse code. 🔹 Parameters and Arguments – Explored different types: • Default arguments • Positional arguments • Keyword arguments 🔹 Python Modules – Learned how modules help organize code and reuse functionality. 🔹 Functional Programming Tools • "filter()" – Used to filter elements based on a condition • "map()" – Applies a function to every element in a sequence • "zip()" – Combines elements from multiple iterables 📌 Key Takeaway: Understanding functions and Python’s built-in tools helps write cleaner, reusable, and more efficient code, which is very important when working with large datasets in AI. Step by step, building a stronger foundation for my AI journey. #Python #ArtificialIntelligence #MachineLearning #Programming #LearningInPublic #AIJourney

✓ Advance Python Course with Machine and Deep Learning. ✓ Exercise ( Task 04 ). ✓ Statement:- 1) ----- Write a program to calculate the area of the triangle. 2) ----- The program should ask the user to enter the base and the height. #LearningInPublic #CodingNewBie #PythonCourse #Programming #FutureGoals #Coding

💻 Why Python is Important for AI Python is one of the most popular programming languages for Artificial Intelligence and Machine Learning. Some reasons why Python is great for AI: • Simple syntax • Powerful libraries like NumPy and TensorFlow • Large developer community If you want to start learning Python, this free resource can help. Learn Python basics: https://lnkd.in/djMsM3s8 #Python #AI #Programming #MicrosoftLearn

Day 19 of #30DaysPythonChallenge Today I learned about File Handling in Python. File handling helps us store data permanently in files instead of temporary memory. It allows Python programs to read, write, and manage data efficiently, which is very important for real-world applications like logs, reports, and data storage. 📌 Topics I covered today: • Need of File Handling • Types of Files (Text & Binary) • File Operations (open, read, write, close, seek, tell) • File Access Modes (r, w, a, r+, w+, a+) • Working with Text and Binary Files Consistency is the key to mastering programming. Learning something new every day! #Python #FileHandling #30DaysPythonChallenge #CodingJourney #LearnPython #Programming #AI #TechStudent

🚀 3 Python Libraries Every AI Developer Should Know Python is one of the most important programming languages for Artificial Intelligence and Machine Learning. Here are 3 libraries that every AI/ML student should learn: 1️⃣ NumPy – Used for numerical computing and working with arrays. 2️⃣ Pandas – Helps in data analysis and handling datasets easily. 3️⃣ Matplotlib – Used to create graphs and data visualizations. These libraries form the foundation for many Machine Learning projects. Which Python library do you use the most? 🤔 #Python #AI #MachineLearning #DataScience #WebDevelopment

Day 3 of Learning Python Learning from Sheryians AI School Instructor: Akarsh Vyas sir Today Focused On: Loops (for, while) – deeper practice Logic building using loops Nested loop concepts Solved 25+ assignment questions including: Factors in a given range Palindrome check Anagram check Number based pattern logic Loop based problem solving Solved class MCQs after lecture to revise and strengthen concepts. #Python #Learning #SheryiansCodingSchool #Day3 #Loops

Python learners often get confused about NumPy functions. So I created this simple guide to help you quickly understand some important NumPy functions used in data analysis and machine learning. From creating arrays to sorting, reshaping, and performing mathematical operations — these functions are very useful for anyone learning Python for data science. Save this post for later and keep learning. #Python #NumPy #PythonProgramming #DataScience #MachineLearning #Coding #LearnPython #Programming #TechLearning