I picked up Python this week. Learning AI is one of the key skills I plan to add to my portfolio, and Python sits right at the foundation of that journey. Yes, there are plenty of documentation tools out there. But I want to build custom automation tools that work specifically for the products I document. I plan to combine Python fundamentals with AI to build smarter, more intentional tools for documentation. #TechnicalWriting #Python #AI #Documentation #LearningInPublic

🐍 Learning Python – Understanding Variables Today, I practiced Python variables and learned how to store and use different types of data in a program. 📌 What I learned in this program: ✅ How to store strings, integers, and float values in variables ✅ How to assign the value of one variable to another ✅ How to print multiple variables in a single line ✅ How to print values separately for better readability 💡 This practice helped me understand how Python manages data and how variables make programs more readable and reusable. I’m learning Python step by step and building a strong foundation for my future goals in Artificial Intelligence and Machine Learning. Open to feedback and suggestions 😊 #Python #PythonBeginner #Variables #LearningPython #CodingJourney #SoftwareEngineering #AI #MachineLearning #LinkedInLearning

One small Python concept today… but a very important one. Today’s lesson focused on how Python handles mutable objects like lists. In the example below: def add_item(lst): lst.append(100) a = [1, 2, 3] add_item(a) print(a) The result will be: [1, 2, 3, 100] Why? Because lists in Python are mutable. When we pass a list to a function and modify it using methods like append(), the change happens in-place — meaning the original list itself is modified. 💡 Key takeaway: Understanding the difference between mutable and immutable objects is essential for writing predictable and efficient Python code. Every day in this sprint reminds me that small concepts build strong foundations in data analytics and AI. On to the next challenge. 🚀 #Python #DataAnalytics #AI #MachineLearning #LearningJourney #Coding #TechSkills #AIAnalytics #PythonProgramming #LinkedInLearning

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

LinkedIn vs Reality • LinkedIn: 10 Certifications, AI Expert, ML Guru • Reality: Searching on Google – “how to install pandas in Python” • Everyone starts somewhere. • Real learning comes from practice. • Keep learning. Keep building. Learn Real Skills with Technogeeks #Python #DataScience #MachineLearning #CodingLife #TechMeme #ProgrammerLife #LearnToCode #Technogeeks #ITTraining #CareerInTech

🚀 Day 6 of My AI/ML Learning Journey | Diving Deeper into Python 🐍 Every day of learning Python is unlocking a new layer of understanding. Today’s focus was on File Handling, Exception Handling, and efficient Python techniques that make programs more robust and practical. 💻✨ 📚 Topics Covered Today: 📂 File I/O in Python 🛠 Operations on Files 🔑 File Modes (read, write, append, etc.) 🤝 Using the with keyword for safer file handling 🗑 Deleting Files 🧩 Practice Problems ⚠️ Exception Handling 🔚 finally Keyword ⚡ List Comprehensions 📄 Working with JSON Module 💡 Key Takeaway: Understanding file handling and exception handling makes programs more reliable and production-ready, while techniques like list comprehensions help write clean and efficient code. Small progress every day → Big transformation over time. 🚀 Still going strong on my #100DaysOfCode journey. #AI #MachineLearning #Python #CodingJourney #100DaysOfCode #LearningInPublic #BuildInPublic #Consistency

🧠 Why Strong Python Basics Matter in AI Many beginners jump directly into TensorFlow or PyTorch. But I realized something important: Without strong Python fundamentals: • Debugging becomes difficult • Writing custom logic is hard • Understanding model flow becomes confusing Now I’m spending time improving: ✔ Functions ✔ OOPS ✔ Loops and conditions ✔ Algorithm thinking AI is powerful. But fundamentals build confidence. #Python #AI #MachineLearning #CodingJourney

✓ 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

Building a strong foundation is essential when learning AI, Machine Learning, and Deep Learning. One of the most important foundations is Python, and within Python, having a solid understanding of Object-Oriented Programming (OOP) is crucial. Over the past few weeks, I’ve been creating my own Python OOP notes while revisiting these core concepts. If you're learning AI or strengthening your Python fundamentals, these notes will definitely help you. #Python #OOPS #ObjectOrientedProgramming #MachineLearning #ArtificialIntelligence #DeepLearning