Newton School’s Post

Stop "winging" your data cleaning. A 4-hour mess becomes a 4-hour masterpiece when you have a plan. Here is my Python-based SOP for every Data Analyst who wants to move from raw data to clean insights faster. 🐍✨ Which step is the biggest headache for you? For me, it's always the outliers! #DataAnalytics #Python #CareerGrowth #Automation #CleanData #DataAnalystLife

🐍 Small scripts. Big impact. Lately, we’ve been using Python to automate everyday tasks and work with data more efficiently. From quick data cleaning to simple automation, even a few lines of code can save hours of manual effort. 💡 What stands out? Consistency > complexity. Building small, practical solutions every day adds up. #Python #Automation #Data #Tech #DataAnalytics #DataAnalyst #TechQuiz #Upskilling #DataEngineering #TechLearning #NattonTechnology #NattonAI #NatonDigital #NattonSkillX

🐍 Small scripts. Big impact. Lately, we’ve been using Python to automate everyday tasks and work with data more efficiently. From quick data cleaning to simple automation, even a few lines of code can save hours of manual effort. 💡 What stands out? Consistency > complexity. Building small, practical solutions every day adds up. #Python #Automation #Data #Tech #DataAnalytics #DataAnalyst #TechQuiz #Upskilling #DataEngineering #TechLearning #NattonTechnology #NattonAI #NatonDigital #NattonSkillX

🐍 Small scripts. Big impact. Lately, we’ve been using Python to automate everyday tasks and work with data more efficiently. From quick data cleaning to simple automation, even a few lines of code can save hours of manual effort. 💡 What stands out? Consistency > complexity. Building small, practical solutions every day adds up. #Python #Automation #Data #Tech #DataAnalytics #DataAnalyst #TechQuiz #Upskilling #DataEngineering #TechLearning #NattonTechnology #NattonAI #NatonDigital #NattonSkillX

🐍 Small scripts. Big impact. Lately, we’ve been using Python to automate everyday tasks and work with data more efficiently. From quick data cleaning to simple automation, even a few lines of code can save hours of manual effort. 💡 What stands out? Consistency > complexity. Building small, practical solutions every day adds up. #Python #Automation #Data #Tech #DataAnalytics #DataAnalyst #TechQuiz #Upskilling #DataEngineering #TechLearning #NattonTechnology #NattonAI #NatonDigital #NattonSkillX

This week I spent 2 hours debugging a pipeline that broke because of a subtle mutable default argument. Last week I finished DataCamp's "Intermediate Python for Developers" - and guess what chapter was in there. Funny how that works sometimes. A few takeaways that'll stick with me: • Mutable defaults are a trap, even for people who "know Python" • Decorators aren't magic - they're just functions returning functions (but the mental model matters) • Comprehensions > loops, until they don't fit on one screen anymore Working with Python daily on dbt models, and data transformations, it's easy to get comfortable in a narrow slice of the language. Stepping back to revisit the fundamentals consistently makes my production code cleaner. What's your approach - do you block time for structured learning, or learn purely on the job? #Python #DataEngineering #LearningInPublic

One lesson that keeps coming up in my data analytics journey: the right data structure can outperform the most advanced algorithm 🧠 Python dictionaries have been a game-changer for me in real-time scenarios—especially for caching intermediate results and tracking session-level data 🔄 What makes them powerful?  Constant-time lookups ⚡  Flexible structure for dynamic data 🔀  Easy integration into pipelines 🔧 When you’re working with streaming or high-volume data, these advantages add up quickly 📈 It’s not always about doing more—it’s about doing things smarter 💡 What data structure do you rely on the most? #DataAnalytics #Python #DataStructures #RealTimeSystems #BigData #LearningInPublic #TechThoughts

💡 From idea → execution 🚀 Ever wondered how chatbots fetch real-time data? I built one! Introducing my Python Weather Chatbot 🌤️ It takes user input and instantly responds with live weather updates. 🔧 What I used: Python + Weather API 🎯 What I learned: Real-world problem solving & API integration Small project. Big learning. 💯 Let’s connect and grow together 🤝 #PythonDeveloper #Projects #Chatbot #LearningByDoing #TechJourney

Most people think data cleaning is a small task… but in reality, it takes hours. Recently, I worked on a dataset where: duplicates were everywhere formats were inconsistent data was not usable Instead of cleaning it manually… I used Python (Pandas) to automate the process. Result: ✔ clean structured data ✔ hours of manual work saved ✔ ready for analysis This is the difference between: manual work ❌ automation ✅ If you are still cleaning data manually, you are wasting time. #dataanalytics #python #pandas #automation #datascience

Day 6/10 🚀 This is where your data starts to take shape. Collections — the backbone of every Python program. Without the right one? Slower code, messy logic. With the right one? Faster lookups, cleaner design. 📋 What I covered today: 01 → Lists — slicing & comprehensions 02 → Tuples — immutability & unpacking 03 → Dictionaries — CRUD & O(1) lookup 04 → Sets — unique values & operations 05 → Frozenset 06 → Advanced — defaultdict, Counter, namedtuple 07 → Iterators — iter() & next() 08 → Mini Project — Inventory Management System Built a simple system using dictionaries to manage stock & pricing — a real-world pattern used in inventory and data pipelines. Day 1 ✅ Day 2 ✅ Day 3 ✅ Day 4 ✅ Day 5 ✅ Day 6 ✅ 4 more to go. Drop a 🐍 if you’ve ever used a list when a set would’ve been better 😄 #Python #Collections #DataEngineering #LearningInPublic #CleanCode #10DaysOfPython #DataStructures