Python Internals: Understanding Reference Counting & Memory Management

🔁 Python Revision – Sets Continuing my Python fundamentals revision 🐍 In this session, I focused on: ✔️ Sets (creation and properties) ✔️ Unique elements and unordered nature ✔️ Set methods (add, remove, discard, etc.) ✔️ Set operations (union, intersection, difference) Practiced using sets to handle unique data and perform efficient operations like finding common or different elements between datasets. Documented my practice in a Jupyter Notebook and shared it as a PDF to track my progress. Understanding sets is helping me work better with data and avoid duplicates 📊 Next: dictionaries and real-world data handling 🚀 #Python #Revision #Sets #Programming #DataAnalytics #LearningJourney #Coding

🚀 Starting my journey in Python for Data Analysis! Every expert was once a beginner — and today I’m building my foundation step by step. This Python Cheat Sheet is a quick guide covering the essentials I’m learning: 🔹 Basic Syntax 🔹 Data Structures 🔹 Conditionals & Loops 🔹 Functions 🔹 String Methods 🔹 Exception Handling 🔹 Modules Python is not just a programming language, it’s a powerful tool to turn data into insights 📊 Consistency > Perfection. Learning a little every day and moving forward 💡 #Python #DataAnalysis #LearningJourney #Coding #Programming #DataScience #Beginner #Consistency #GrowthMindset

Starting small end-to-end projects  🚀 Revisiting basics with a small dataset to strengthen my foundation using SQL, Python, and Power BI 📊 Learning by doing 💡 #KaliyonaSQL #KaliyonaDataAnalytics #KaliyonaWithGayathriBhat

🚀 Day 8 of Learning Data Analysis Started learning Functions in Python: 🔹 Function basics & syntax 🔹 Parameters and return values 🔹 Lambda functions 🔹 Local & global variables 🔹 Introduction to recursion 💡 Key Learning: Functions help organize code, improve reusability, and make problem-solving more efficient. Feeling more confident every day 💪🚀 #Python #Programming #DataAnalytics #LearningJourney

Today I explored data visualization using Python’s Matplotlib library. Built multiple visualizations in a single figure—Line Chart, Bar Chart, and Scatter Plot—to better understand how data behaves from different perspectives. 💡 Key takeaways: • Subplots help organize multiple charts in one view • Different chart types reveal different insights • Visualization makes data easier to interpret and communicate #Python #DataVisualization #Matplotlib #Learning #Coding #DataScience #StudentLife

Deep Dive into Python Dictionaries yesterday, I explored key concepts of Python Dictionaries and strengthened my understanding of how they work in real-world scenarios 💡 🔹 Adding data to an empty dictionary 🔹 Heterogeneous data for both keys and values 🔹 Accessing dictionary data using keys 🔹 Keys can be any immutable type 🔹 Duplicate keys are not allowed but values can be duplicated 🔹 Dictionary is mutable 🔹 Another representation of dictionary using dict() 🔹 Deleting elements from dictionary 📌 Key Insight: Dictionaries are one of the most flexible and powerful data structures in Python, making data handling efficient and dynamic. Consistency is the key — learning something new every day and moving one step closer to becoming a better developer 💻🔥 #Globalquesttechnologies #GR Narendra Reddy #Python #LearningJourney #100DaysOfCode #Programming #DataStructures #Coding #DeveloperJourney #PythonBasics

Hello Everyone, I used to think Python was complex… But it all starts with simple basics. Here’s what I learned: ⚡ What Python is & why it’s used in data analysis (page 1) ⚡ Variables & Data Types → int, float, string, list (page 3–4) ⚡ Type Casting & type() → understanding data correctly (page 5–6) ⚡ Operators & Logic → building conditions (page 6–7) ⚡ Input, Output & f-strings → clean and readable output (page 8–10) Big realization: 👉 Python is not hard… it’s logical. 💬 What was your first challenge in Python? #Python #DataAnalytics #LearningJourney #DataScience #Upskilling #Programming

🔁 Python Fundamentals Revision Continuing my Python revision to strengthen core concepts 🐍 In this session, I focused on: ✔️ Syntax & Semantics ✔️ Variables ✔️ Data Types ✔️ Operators Revisiting these fundamentals is helping me improve code clarity and avoid common mistakes. I’ve documented my practice in a Jupyter Notebook and shared it as a PDF to keep track of my learning journey. Strong basics = Better problem solving 💡 Next step: diving deeper into control flow and real-world problem solving 🚀 #Python #Revision #Programming #DataAnalytics #LearningJourney #Coding

Started revisiting Python fundamentals 🐍 From variables and data types to loops, functions, and collections — it’s clear that strong basics make everything easier in the long run. What stood out to me: ✔ Simplicity in syntax ✔ Powerful built-in data structures ✔ Clean and readable code Back to strengthening the foundation 💡 #Python #Programming #LearningJourney #Coding #DataAnalytics