Python Loops for Efficient Execution

Spent 30 minutes automating 30 minutes of monthly work. Bank statement PDF goes in, GPT categorizes every transaction, Excel workbook comes out with a sheet per category. ~100 lines of Python. $0.02 per run in API costs. Not everything needs to be a big project. #Python #Automation #PersonalFinance

𝗜 𝘀𝘁𝗼𝗽𝗽𝗲𝗱 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 “𝗾𝘂𝗶𝗰𝗸 𝘀𝗰𝗿𝗶𝗽𝘁𝘀” 𝘁𝗵𝗲 𝗺𝗼𝗺𝗲𝗻𝘁 𝘁𝗵𝗲𝘆 𝘀𝘁𝗮𝗿𝘁𝗲𝗱 𝗹𝗶𝘃𝗶𝗻𝗴 𝗶𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻. 😅 If you’re doing Python automation, a few boring habits save you later: 𝗟𝗼𝗴 𝗹𝗶𝗸𝗲 𝘆𝗼𝘂’𝗹𝗹 𝗱𝗲𝗯𝘂𝗴 𝗶𝘁 𝗮𝘁 𝟮 𝗔𝗠: Timestamps, context, counts. 🧾 𝗔𝗱𝗱 𝗮 “𝗱𝗿𝘆-𝗿𝘂𝗻” 𝗺𝗼𝗱𝗲: Test before touching real data/files. 🧪 𝗠𝗮𝗸𝗲 𝗶𝘁 𝗶𝗱𝗲𝗺𝗽𝗼𝘁𝗲𝗻𝘁: Running twice shouldn’t double-create or double-send. 🔁 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗲 𝗶𝗻𝗽𝘂𝘁𝘀 𝗲𝗮𝗿𝗹𝘆: Paths, env vars, credentials, expected formats. 🧱 𝗙𝗮𝗶𝗹 𝗹𝗼𝘂𝗱𝗹𝘆 + 𝗻𝗼𝘁𝗶𝗳𝘆: Don’t silently skip and “succeed”. 🧯 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗶𝘀𝗻’𝘁 𝗮𝗯𝗼𝘂𝘁 𝗰𝗹𝗲𝘃𝗲𝗿 𝗰𝗼𝗱𝗲. 𝗜𝘁’𝘀 𝗮𝗯𝗼𝘂𝘁 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀. #python #automation #devtools #reliability #engineering

In production, one recurring issue is validating texture resolutions. Manually checking for correct power-of-two sizes across large folders can take hours. So I built a small Python tool inside Unreal that: • Iterates through project folders • Detects non power-of-two textures • Generates a validation report (.txt) • Automatically moves invalid assets into a dedicated folder Simple automation, but real production value. Hope you like it and find it useful! #TechArt #Python #UnrealEngine #Pipeline #Automation #GameDev

Today’s practice was focused on String and List Manipulation using Slicing. This session helped me understand how powerful slicing is in Python and how it can simplify many problems without using loops. Programs practiced today include: 🔹 Reverse a given string using slicing 🔹 Print every alternate character from a string 🔹 Extract the middle three characters from a string 🔹 Reverse a list of integers using slicing (without loops or built-in reverse functions) 🔹 Remove the first and last characters from a string using slicing Key learnings from today’s session: • Understanding slicing syntax: start : stop : step • Using negative indexing for reversing sequences • How [::-1] works internally • Extracting specific portions of strings efficiently • Writing clean and shorter code without unnecessary loops • Strengthening fundamentals in string and list operations Today’s practice showed me how Python provides elegant solutions for common problems. Instead of writing long logic with loops, slicing makes the code simpler and more readable. Step by step, improving both logic and code efficiency. Grateful for the continuous guidance and support from the #10kcoders team. #Day32 #Python #StringManipulation #ListOperations #Slicing #LogicBuilding #ProgrammingJourney #Consistency

LeetCode 232 | Implement Queue using Stacks 🚀 🔹 Data Structure: Stack + Queue Concept 🔹 Idea: Use two stacks to simulate FIFO behavior 🔹 Current Approach: Push O(n), Pop O(1) 🔹 Key Learning: Stack reversal gives queue order Understanding how data structures can simulate each other improves problem-solving depth 💡 #DSA #LeetCode #DataStructures #Stack #Queue #Python #CodingJourney

Small efficiency gains compound quickly in production. Inspired by #Blender3D Pie Menu, I built a custom radial tool in #Houdini using #Python. It saves seconds by: • Creating a referenced Null and Object Merge • Auto-organizing networks • Rendering a flipbook in one click The real value shows up in daily use. Used dozens of times daily, those seconds turn into hours and remove workflow friction. My technical approach: Identify repetition → remove steps → multiply efficiency. #TechnicalArt #GameDevelopment #Pipeline #Automation #ToolsDevelopment

LeetCode 20 | Valid Parentheses 🔥 🔹 Data Structure: Stack 🔹 Concept: LIFO matching for bracket validation 🔹 Time Complexity: O(n) 🔹 Space Complexity: O(n) Push opening brackets, match closing brackets carefully 💡 Stack problems strengthen logical flow control and pattern recognition. #LeetCode #DSA #Stack #Python #CodingPractice #ProblemSolving

"Data Science is about organization, starting from your Python environment. Cluttering the base installation leads to dependency conflicts (Version Hell) and instability. 🛑 That’s why Miniconda (Conda Environments) is crucial. By creating isolated environments for each project, we achieve: 1️⃣ Dependency Control: No version conflicts. 2️⃣ Reproducibility: Projects work anywhere. 3️⃣ Performance: Faster package management. Professionals keep their kitchens organized and their Conda environments isolated. 💡 #DataScience #Python #Miniconda #VirtualEnvironments #MachineLearning"

LeetCode Problem 83: Given the head of a sorted linked list, delete all duplicates such that each element appears only once. Return the linked list sorted as well. The below implementation in Python successfully resolves this in time complexity of O(n) where n is length of the list with constant space complexity. The approach is simple, handle the base case first like list having 0 or 1 number of nodes and then write the logic of handling lists of length greater than one. Maintain two pointers, one to keep track of present node and other to keep track of previous node. Check if the value of both nodes match or not, if match update the pointing of previous node, point its next to the present.next. #LeetCode #LinkedList #Python #CompetitiveProgramming #Algorithms #DataStructures #ProblemSolving

I used to think Python was just “write and run.” But when I started using it for automation, I noticed its technical nature really matters. Here’s what defines Python technically: 🔹 Sequential execution – runs top to bottom 🔹 Dynamic typing – types decided at runtime 🔹 Interpreted runtime – instant execution & debugging 🔹 Rich standard libraries – built-in support for OS & files 🔹 Strong system integration – works with files, APIs, and environment variables 🔹 Flexible structure – task-focused, not architecture-heavy 💡 Takeaway: Python is optimized for fast development and task automation, not complexity. Understanding how Python behaves internally makes your scripts smarter — not longer. #Python #Scripting #TechnicalLearning #Automation #DeveloperJourney