Python Variables and Data Types Explained

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Day 2 of learning Pandas Today was all about cleaning data handled missing values, dropped unnecessary columns, and did some basic filtering. Starting to see how messy data becomes usable with the right steps #Python #Pandas #DataScience #LearningJourney

Back to consistency 💻🚀 Recently, I worked on implementing Pascal’s Triangle in Python — and it turned out to be a great exercise in logic building. While solving this, I learned: 🔹 How each row depends on the previous one 🔹 Better understanding of nested loops 🔹 Using mathematical logic instead of brute force It’s interesting how such a simple-looking pattern involves deeper thinking behind the scenes. Here’s my implementation 👇 Small steps like these are helping me build a strong foundation in Data Structures & Algorithms. #Python #DSA #CodingJourney #LearningInPublic #100DaysOfCode

🚀 Day 3 — Python Journey Today’s focus was on float operations in Python (working with decimal numbers). 📌 What I learned: Float declaration Addition, subtraction, multiplication, division Rounding values using round() Scientific notation Precision handling in floats 💡 What I found interesting: Float values are not always 100% accurate due to precision limitations. Even simple calculations can sometimes give unexpected results. Understanding this early is important, especially for real-world applications like finance or data science. Step by step, trying to build a strong foundation. #Day3 #Python #CodingJourney #LearnInPublic #Consistency

Day 1 of Data Structures in Python 🚀 Today I learned the basics of: • Lists • Tuples • Sets • Dictionaries Practiced few basic operations like insert, delete, and search. Understanding how data is stored and accessed is the first step toward better problem-solving. Looking forward to applying these concepts in real problems 🔍 #Python #DSA #LearningJourney #DataStructures

🚀 DAY 8 – DRACCO Python Course Today, we dive into Data Structures (Lists) 🧠 Learning how to store and manage multiple values in one place. From simple data to structured collections, this is a big step forward. Understanding lists opens the door to more powerful Python programs. We’re building real skills, one step at a time 💡 #Python #LearnPython #DraccoResearch #CodingJourney

Dove into working with files in Python — from accessing and importing text files to actually parsing and making sense of the data inside them. It’s one of those things that seems simple at first… until you realize how powerful it actually is. There’s something satisfying about going from “just reading a file” to actually extracting useful information from it.

💻 Day 4 of #100DaysOfCode Today I learned about Tuples, Sets, and Dictionaries in Python 🐍 What I covered: - Tuples and their properties - Sets and how they store unique values - Dictionaries (key-value pairs) - Difference between Lists, Tuples, and Sets I also practiced small programs to understand how each data structure works in real scenarios. This helped me understand where to use each one and how data can be stored in different ways. Learning step by step and improving daily 💪 See you all tomorrow with new learnings and more progress 🚀 #Python #100DaysOfCode #CodingJourney #Learning #Consistency

Today, I learned how to take user input in Python using the input() function. This allows programs to interact with users and collect data such as name, age, and city. I also learned how to convert input into numbers using int() and float(), which is very important for calculations and data processing. #Day2 #Python #LearningJourney #DataScience #MachineLearning #Consistency