Mastering Python List Copies with the Copy Module

Stateful UDFs just changed how Python scales. With @daft.cls, you can turn any Python class into a distributed operator that initialises once per worker and reuses state across every row. That means models, API clients, and database connections no longer get rebuilt on every call. The mental model stays simple: write normal Python classes, add a decorator, and Daft handles execution, scheduling, and parallelism. Find out more: https://lnkd.in/e79SePbN #PythonScaling #DaftCls #DistributedComputing #PythonClasses

Real world data is messy. So I built my own 100-record JSON dataset to practice cleaning it with Python. The dataset included: • Duplicate entries • Missing values • Ratings in mixed formats like "five", "4", and "3.5" • Different types of customer feedback • Inconsistent formatting Using Python, I cleaned the data, removed duplicates, standardised ratings, and generated basic insights. Big takeaway: data cleaning is just as important as analysis. GitHub Repo: https://lnkd.in/gYr-4kkm #Python #DataScience #DataAnalytics #Projects #Coding

Day 5 of #30DaysOfPython ✅ Today I met two of Python's most powerful data structures. One of them already feels like home. The other? Slightly chaotic. Lists and dictionaries. Day 5. Lists made sense quickly — they're just ordered collections. I can store things, loop through them, sort them, slice them. Intuitive. Dictionaries? At first, the key-value pair concept felt abstract. The bug that got me today? I threw both strings and integers into the same list and tried to sort it. Python did not appreciate that. TypeError showed up like an old enemy. Day 5 done. 25 more to go! 👇 Lists vs dictionaries — when do you reach for one over the other? #Python #30DaysOfPython #DataStructures #StudentLife #AIML

𝐃𝐚𝐲 𝟏𝟏: 𝐒𝐭𝐨𝐩 𝐒𝐞𝐚𝐫𝐜𝐡𝐢𝐧𝐠, 𝐒𝐭𝐚𝐫𝐭 𝐅𝐢𝐧𝐝𝐢𝐧𝐠  I’ve noticed as I move deeper into Python, is that how we 𝐬𝐭𝐨𝐫𝐞 𝐝𝐚𝐭𝐚 is just as important as the focusing on the code logic. Up until now, I’ve been reaching for a 𝐋𝐢𝐬𝐭 for almost everything. It’s the go-to structure when you start. But as my data grows,I realized why that can be a trap. 👉 If you have 1,000 items, a List forces you to check every single one until you find a match. • With a 𝐃𝐢𝐜𝐭𝐢𝐨𝐧𝐚𝐫𝐲, I’m not just piling data into a box; I’m giving every piece of data a unique Key. 👉𝐓𝐡𝐞 𝐋𝐢𝐬𝐭 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡 (𝐦𝐲𝐥𝐢𝐬𝐭) : Iterating through the stack until you hit "Bob." 👉𝐓𝐡𝐞 𝐃𝐢𝐜𝐭𝐢𝐨𝐧𝐚𝐫𝐲 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡 (𝐦𝐲𝐝𝐢𝐜𝐭) : Direct access via a unique Key. Instant results✅ A Dictionary is a completely different, and much more efficient, tool for the job. It’s a fundamental shift in how we handle data retrieval. #Python #30DaysOfCode #Day11 #LearningInPublic #SoftwareEngineering

Day 5 Consistency is key! 🚀 I’ve been dedicating time to strengthening my Python fundamentals, specifically diving deep into how to work with data sequences. From understanding immutability to mastering indexing and slicing techniques, I’m building a solid foundation to handle data manipulation more effectively. It’s rewarding to see how these concepts translate into cleaner, more efficient. Today I’ve been practicing advanced sequence manipulation in Python. Key takeaways from my study session: Immutability: Understanding why certain data types (like strings) cannot be changed in place. Slicing Syntax: Mastering [start:stop] and how to omit indices for cleaner, faster code. Negative Indexing: Leveraging indexing from the end to make my code more dynamic. There is always something new to learn when it comes to optimizing data extraction! 💡 #PythonProgramming #SoftwareDevelopment #LearningToCode #DataManipulation #CodingTips #Python #CodingJourney #ContinuousLearning #DataHandling #SelfDevelopment #TechSkills

Python Series — Day 3 🧠 Let’s level it up a bit 👇 What will be the output of this code? def modify_list(lst): lst.append(4) a = [1, 2, 3] modify_list(a) print(a) Options: A. [1, 2, 3] B. [1, 2, 3, 4] C. Error D. None Think carefully 👀 (Hint: It’s not about functions… it’s about how Python handles data) Drop your answer 👇 Answer tomorrow 🚀 #Python #CodingChallenge #LearningInPublic #DataEngineering #Tech

The Python Collections Cheat Sheet Choosing the right data structure is 50% of the job. Pick the wrong one, and your code gets slow or buggy. Pick the right one, and it becomes elegant. My quick guide: ✅ List: When order matters ✅ Tuple: When data must stay constant ✅ Set: When you need uniqueness and speed ✅ Dict: When you need to map labels to data Day 16/30 #Python #Day16 #BuildinginPublic #DataStructures #CodingCommunity #PythonCheatSheet

🐍 New on wcblog.in: Python Basics — Variables, Data Types, Loops & Functions Explained If you're starting out with Python (or need a solid refresher), I just published a practical, engineer-focused guide covering everything you need to write real Python code from day one: ✅ Variables & data types (int, str, list, dict, set...) ✅ String manipulation & f-strings ✅ Loops — for, while & list comprehensions ✅ Functions, *args, **kwargs ✅ Error handling with try/except ✅ A mini pipeline project to tie it all together Python is the backbone of data engineering, ML, and automation — and it all starts with these fundamentals. 👉 Read the full guide: https://lnkd.in/g92XrVSU #Python #DataEngineering #PythonBasics #LearnPython #Programming #DataEngineer #TechBlog

Merging spreadsheets, cleaning exports, and splitting reports are necessary-but-boring tasks. These Python scripts handle the repetitive parts so you can focus on the actual work. https://lnkd.in/eJtC6Wae

When I started learning Python, my first thought was: "Wait. I already know this." Coming from a SQL background, Pandas felt surprisingly familiar. The logic is the same. Only the syntax changes. And the result? Identical. What I love about Pandas: everything stays in your script. No switching between tools. No copy-pasting results. Just clean, reproducible code. If you have a SQL background and are just getting into Python, start with Pandas. The mental model transfers almost 1:1. Which did you learn first? SQL or Python? #DataScience #Python #Pandas #SQL #LearningInPublic