Optimize Python Object Memory with __slots__

🐍 Python Developer Nuggets – Day 6 Python has powerful built-in functions that make boolean logic much cleaner and more expressive. Instead of writing longer loops and flags, functions like any() and all() help you write more readable and Pythonic code. Small improvements like these can make your code easier to maintain and understand. Follow along for more Python Developer Nuggets. #Python #PythonDeveloper #PythonTips #Programming #SoftwareEngineering #CodingTips #CleanCode #Developers #LearnPython #TechLearning

🐍 Python Developer Nuggets – Day 5 List vs Set Lookup — The Performance Shock A small Python choice can have a massive performance impact. When checking if an item exists in a collection: • Lists perform a sequential search → O(n) • Sets use a hash table → O(1) average time This means that for large datasets, sets can be thousands of times faster than lists for membership checks. When to use sets: • Fast lookups • Removing duplicates • Large datasets • Frequent membership checks Sometimes a simple data structure change can drastically improve performance. Follow along for more Python Developer Nuggets #Python #PythonDeveloper #PythonTips #Programming #SoftwareEngineering #CodingTips #CleanCode #Developers #PerformanceOptimization #LearnPython #TechLearning

🐍 Python Developer Nuggets – Day 4 A Python mistake many developers make Using a list when a generator would save massive memory. For large datasets, a list stores everything in memory, while a generator produces values only when needed. The difference can be megabytes vs just a few bytes Check the visual example below #Python #PythonDeveloper #PythonTips #Programming #SoftwareEngineering #CodingTips #Developers #LearnPython #PerformanceOptimization #TechLearning

Day 2 – Python Fundamentals Today I learned the core concepts of Python including identifiers, keywords, data types, and operators. Identifiers are used to name variables, keywords are reserved words in Python, data types define the type of data, and operators help perform operations. These basics are essential for writing efficient and clean Python code. Looking forward to building more concepts step by step! 💻✨ Global Quest Technologies #Python #FullStackDevelopment #Programming #LearningJourney #Coding #Tech

If you use VSCode for Python development, your editor may be acting wonky lately. Check to see if Microsoft auto-installed a "Python Environments" extension, and uninstall it. It's utter pre-alpha vibe-coded garbage that was auto-pushed to all of us!

🚀 Day 15/50 – Convert Python (.py) to Executable (.exe) ⚙️ Today I learned how to convert a Python script into a standalone executable file (.exe). This allows Python programs to run on systems without requiring Python installation, making it easier to distribute applications to users. For this, I used PyInstaller, a popular tool that bundles Python scripts and dependencies into a single executable file. 🛠 How It Works The tool packages your Python script along with all required libraries into a single .exe file. This means: No need to install Python on another system Easy distribution of applications Works like a normal software program ⚙ Technologies Used Python PyInstaller 📚 Key Learnings ✔ Converting Python scripts into executable files ✔ Packaging dependencies with applications ✔ Creating distributable Python software ✔ Understanding basic software deployment 📂 Project Available on GitHub You can explore the full project here: 👉 https://lnkd.in/g4kVDpG4 #Python #PythonProjects #50DaysOfCode #LearningInPublic #Programming #Developers #CodingJourney #PythonDeveloper #BuildInPublic #Automation

Mastering Python Data Types is the first step toward becoming a strong Python developer. 🐍 Understanding the difference between String, List, Tuple, Set, and Dictionary helps you write cleaner, more efficient code. Key takeaways: ✔ Mutable vs Immutable ✔ Ordered vs Unordered ✔ Duplicate handling ✔ Data storage flexibility Save this Python Data Type Cheatsheet for quick reference! 🚀 #Python #Programming #DataTypes #PythonLearning #Coding #Developers #TechLearning

🐍 Python Developer Nuggets — Day 15 select_related vs prefetch_related Why is your query still slow even after fixing N+1? The problem Using the wrong optimization method Real fix (combined approach) : Use select_related for FK Use prefetch_related for M2M orders = Order.objects.select_related("user").prefetch_related("products") What changes: Orders + Users → 1 query Products → 1 query Total = 2 queries only Golden rule: FK / OneToOne → select_related ManyToMany → prefetch_related Key takeaway: Optimization is not just avoiding N+1 It’s choosing the RIGHT strategy Small Python tricks, Big Developer Impact! #Python #Django #BackendEngineering #Performance #CleanCode #DeveloperTips #100DaysOfCode

Built a small Python project to test API endpoints and check common security headers. This project helped me understand: • How APIs work • How data flows between systems • Basic security checks in responses Looking forward to learning more about real-world implementations and integrations. #Python #APIs #Learning #Tech

Day 3 – Python Core Concepts Today I learned about eval() function, conditional statements, range(), and data types in Python. The eval() function evaluates expressions, conditional statements help in decision-making, range() is used in loops, and data types define the type of data we use. These concepts are important for writing basic Python programs. Looking forward to learning more! 💻✨ Global Quest Technologies #Python #FullStackDevelopment #Programming #LearningJourney #Coding #Tech