NumPy Vectorization Saves Hours of Coding Time

𝗗𝗮𝘆 𝟭 | 𝗦𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝗺𝘆 𝗣𝘆𝘁𝗵𝗼𝗻 𝗷𝗼𝘂𝗿𝗻𝗲𝘆 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 Today was my first step into Python, and I kept the focus on understanding the basics instead of trying to learn too many things at once. 𝗧𝗼𝗽𝗶𝗰𝘀 𝗰𝗼𝘃𝗲𝗿𝗲𝗱: 💠 What Python is and why it is widely used, especially in data analysis Basic syntax and writing simple programs 💠 Understanding how Python executes code line by line I spent some time running small pieces of code just to get comfortable with the environment. Python feels quite readable, and that made the starting phase less overwhelming. Focusing on the basics at this stage is helping me build confidence for the topics ahead. #Python #DataAnalysis #LearningJourney #PythonBasics #Beginner #TechSkills

Day 33/100 – #100DaysOfCode 🚀 Solved LeetCode #1480 – Running Sum of 1d Array (Python). Today I practiced prefix sum logic to compute the running sum of an array. Approach: 1) Initialize an empty list to store the running sum. 2) Maintain a variable sum = 0. 3) Traverse the array and keep adding each element to sum. 4) Append the updated sum to the result list. 5) Return the final running sum array. Time Complexity: O(n) Space Complexity: O(n) Understanding prefix sums helps solve many array problems efficiently 💪 #LeetCode #Python #DSA #Arrays #PrefixSum #ProblemSolving #100DaysOfCode

🎮 Let’s Play Rock–Paper–Scissors… but with Python! 🐍✊✋✌️ I recently built a simple Rock–Paper–Scissors game using Python, and it was a fun way to strengthen my fundamentals while creating something interactive. 💡 What I focused on: - Taking user input - Using conditional logic (if-else) - Generating random choices for the computer - Keeping the game loop running It might look simple, but projects like this really help in understanding how logic works in real programs. 🚀 This is just the beginning of my Python journey, and I’m excited to keep building more such projects! 👉 Try it out (mentally 😉): Rock, Paper, or Scissors… what’s your move? I’d love your feedback — how is it? And what should I build next? #Python #CodingJourney #BeginnerProjects #LearnToCode #Programming #100DaysOfCode

Theory is great, but execution matters. Check out this 60-second visual breakdown on how to actually code outlier detection in Python. We're using pandas and scipy to implement both IQR Capping and Z-Score Dropping so your models stop skewing. #Part2 #DataScience #MachineLearning #Python #Pandas #DataEngineering #DataCleaning #TechEducation

🚀 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 10 – DRACCO Python Course Today’s focus: Data Structures (Dictionaries) 🧠 Learning how to store and organize data using key–value pairs. From simple lists to structured data, we keep building. Dictionaries bring more meaning and flexibility to your programs. Another step closer to writing smarter Python code 💡 #Python #LearnPython #DraccoResearch #CodingJourney

Today I focused on strengthening my Python fundamentals, and here’s what I learned: 🔹 Tuple Ordered & immutable collection Allows duplicate values Useful for fixed data 🔹 Set Unordered collection of unique elements Automatically removes duplicates Helpful in data cleaning 🔹 Set Operations Union → Combine all elements Intersection → Find common elements Difference → Unique elements from one set Symmetric Difference → Non-common elements 💡 Key Learning: Data cleaning and comparison become much easier using sets in Python. 👉 Small step every day = Big growth in future 👉 Open to feedback and suggestions 👏 #Python #DataAnalytics #LearningJourney #100DaysOfCode #BeginnerToPro

🚀 Day 85 – Python + DSA Journey Today I focused on strengthening my fundamentals in Arrays and problem-solving using Python. 🔹 Topics Covered: • Array Traversal, Insertion, Deletion • Time Complexity (O(n), O(1)) • Problem-Solving Patterns 🔹 Problems Solved: ✅ Find Second Largest Element (Optimized O(n) approach) ✅ Reverse an Array (Two-pointer technique) ✅ Move Zeros to End (Efficient swapping logic) ✅ Two Sum Problem (Hashing concept) 💡 Key Learnings: • Importance of thinking in terms of patterns • Optimizing solutions without using sorting • Writing clean and efficient code for interviews Every day I’m getting better at breaking down problems and building logical solutions. 📌 Consistency is the key — one step closer to my goal every day! #Day85 #Python #DSA #CodingJourney #ProblemSolving#Learning #SoftwareDevelopment

Python Series — Day 1 Answer + Day 2 Question 🚀 🧠 Day 2 Question What will be the output of this code? a = [1, 2, 3] b = a b.append(4) print(a) Options: A. [1, 2, 3] B. [1, 2, 3, 4] C. Error D. Depends on Python version Drop your answer 👇 (And don’t Google 😄) Answer tomorrow 🚀 #Python #CodingChallenge #DataEngineering #LearningInPublic #Tech

💻 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