Tim Zandi’s Post

Python List Methods Tip: append() and extend() Most Python Beginners Don’t Realize This List Mistake, append() and extend() look almost the same… But using the wrong one silently changes your data structure. Here’s the real difference: - append() adds the entire object as ONE element. - extend() adds each element individually. That means this: - append() → Creates nested lists - extend() → Keeps list flat Why This Matters: - This small mistake often causes unexpected bugs while looping, filtering, or processing data. - Many developers only notice it when their logic suddenly stops working. Simple Rule To Remember: - If you want to add one item → append() - If you want to merge items → extend() Small concepts like this make your Python code cleaner and easier to debug. Have you ever accidentally created a nested list using append()? #Python #LearnPython #PythonTips #Programming #Coding #SoftwareEngineering #PythonDeveloper

🚀 Project Completed: Expense Tracker using Python I developed a command-line application to track daily expenses using Python and CSV file handling. 🔹 Features: ✔ Add and store expenses ✔ View all transactions ✔ Calculate total spending 🔗 GitHub Repository: https://lnkd.in/gQ4nwR95. This project helped me understand file handling and build a real-world application. #Python #DataScience #BeginnerProject #Learning

Just built a Python File Manager Project using CRUD operations 🐍 What it can do: • Create files • Read file content • Update (rename / overwrite / append) • Delete files • List all files and directories automatically Built using Python, pathlib, and os. Small project, but a big step in mastering file handling and automation in Python. Github link--> https://lnkd.in/gwT-Yg_6 Learning by building is the best way to grow as a developer. Next step: Turning this into a Mini File Management Tool. #Python #Programming #100DaysOfCode #PythonDeveloper #CodingJourney #SoftwareDevelopment #BuildInPublic #Developers #TechCommunity #LearningToCode #PythonProjects #Automation #GitHub #OpenSource #ProgrammerLife

🚀 Designing scalable APIs is more than just writing endpoints — it's about building systems that can handle real-world load efficiently. Checkout my new blog on designing production-ready REST APIs in Python 👇 https://lnkd.in/gHH5gJhx A good reminder to always think about scalability, reliability, and performance from day one. #Python #APIDesign #BackendDevelopment #SystemDesign #SoftwareEngineering

Just wrapped up diving into REST API development with Flask and Python ! APIs play a key role in modern data ecosystems. Many data pipelines rely on REST APIs to extract data from external services, integrate systems, and automate data ingestion into data platforms. APIs (Application Programming Interfaces) are essential tools used to retrieve data from external sources and expose internal data for consumption by other applications or users. #DataEngineering #Python #SoftwareEngineering #DataPipelines #DataIntegration

I’ve published my first technical article: a walkthrough of the SOLID principles—with Python examples. It started as “I’ve heard these letters everywhere—what do they actually mean in code?” Turning that into something concrete helped me more than skimming another diagram. In the post I break things down into bite-sized pieces, including: • Single Responsibility: One job per module—easier to reason about and change. • Open/Closed: Extend behavior without rewriting existing code. • Liskov Substitution: Subtypes that don’t break expectations. • Interface Segregation: Small, focused contracts instead of fat interfaces. • Dependency Inversion: Depend on abstractions, not concrete details. Beyond the theory, each section includes short Python snippets so the ideas map to something you can run and tweak—not just memorize. The full post is here: https://lnkd.in/gFXSE4d9 #SoftwareEngineering #SOLID #Python #CleanCode #OOP #DesignPatterns

Most Python developers don’t use this… But it can make your code 10x cleaner 👇 👉 collections.defaultdict Instead of writing this: data = {} for key, value in pairs: if key not in data: data[key] = [] data[key].append(value) You can write this: from collections import defaultdict data = defaultdict(list) for key, value in pairs: data[key].append(value) That’s it. No condition checks. No boilerplate.

being a Senior Developer is only about 1/3 Python knowledge. The other 60% is the ecosystem. It’s the tooling. It’s all of the tech around Python that makes you stand out from the rest. https://lnkd.in/dcf54mVY

The language that refuses to slow down In 2026, many programming languages exist, but one continues to lead in building intelligent systems. Python. Its simplicity allows developers to move quickly from idea to implementation. Its ecosystem provides tools for data processing, automation, and system design. More importantly, Python connects everything. It is used for: building intelligent systems automating workflows backend development data processing As technology evolves, the tools may change, but the need for simple and powerful programming remains. Python continues to deliver both. Code Snippet def predict(values): average = sum(values) / len(values) return average data = [10, 20, 30, 40] print(predict(data)) What language are you currently using and why

The language that refuses to slow down In 2026, many programming languages exist, but one continues to lead in building intelligent systems. Python. Its simplicity allows developers to move quickly from idea to implementation. Its ecosystem provides tools for data processing, automation, and system design. More importantly, Python connects everything. It is used for: building intelligent systems automating workflows backend development data processing As technology evolves, the tools may change, but the need for simple and powerful programming remains. Python continues to deliver both. Code Snippet def predict(values): average = sum(values) / len(values) return average data = [10, 20, 30, 40] print(predict(data)) What language are you currently using and why