Day 40/365 – #365DaysOfDataScience Today I analyzed order volume by product category. Calculated total number of orders and compared volume with total revenue. Interesting insight: highest revenue category is not always the highest volume category. #365DaysOfDataScience #DataScience #Python #Pandas #DataAnalytics #LearningInPublic

Today’s Python Focus: Data Types Before building complex AI systems, you must master the basics. Today I covered: ✔ Numeric Types ✔ Strings ✔ Lists & Tuples ✔ Sets ✔ Dictionaries ✔ Type Conversion Strong foundations create strong developers. On to the next concept tomorrow 💪 #Python #FutureEngineer #LearningInPublic #AIJou

Python MCQ Series – Day 3 🐍 👉 What is the output of the following code :  print(9//2)   Comment your answer & follow Ashok IT for daily Python interview MCQs 🚀 #Python #PythonMCQ #PythonInterview #LearnPython #PythonProgramming #OOPConcepts #CodingInterview #PlacementPreparation #DeveloperLife #AshokIT

Analyzing dataset I Analyzed my first dataset recently. Reality check: Data is messy. Very messy. What I learned: • Cleaning takes time   • Visualization helps a lot   • Small improvements feel huge  It wasn’t perfect. But it was progress. And progress > perfection #DataScience #Python #LearningJourney

Need fast lookups in a sorted list? Binary search cuts the search space in half each step, making it O(log n). This iterative version returns the index if found, or -1 if not—perfect for quick, deterministic searching.#BinarySearch #Python #Algorithms #DataStructures

Day 41/365 – #365DaysOfDataScience Today I analyzed average order value (AOV) per product category. Compared: • Total revenue • Order volume • Average order value Revenue, volume, and AOV tell different stories. #365DaysOfDataScience #DataScience #Python #Pandas #DataAnalytics #LearningInPublic

A quick #map #visualization in #Python cheat sheet on - and if you want to learn all of these (and a lot) more in Python, then: 𝐆𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐄𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥𝐬 - 𝐒𝐞𝐜𝐨𝐧𝐝 𝐄𝐝𝐢𝐭𝐢𝐨𝐧 The book: https://lnkd.in/dy-7m_zz Sample: https://lnkd.in/dVP-Ty-Y Reviews: https://lnkd.in/dMii-cxX Overview: https://lnkd.in/d5anyYAU

📌Python Sets – Intersection What is Intersection? It returns a new set containing only the elements that are common in both sets. ✅ Using intersection() method ✅ Using & operator (shortcut method) ✅ Result always contains unique common elements 🧩 Example: set3 = set1.intersection(set2) # or set3 = set1 & set2 🔎 Important Note: Sets can contain different data types. True and 1, False and 0 are considered the same values in sets. Understanding set operations helps in comparing and analyzing data efficiently #Python #PythonSets #DataAnalytics #LearningJourney #CodingPractice #Upskilling