Hariharan S’ Post

🐍 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

🚀 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

🐍 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

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 10 Decorators — Add Behavior Without Changing Views How does "@login_required" work under the hood? In many applications, logic like authentication or logging gets repeated across multiple views, making code harder to maintain and scale. Decorators provide a clean way to handle this by moving such logic outside the core function, keeping the code focused and reusable. By wrapping a function, decorators allow additional behavior to be executed before and after the main logic without modifying the function itself. Small Python insights like this can significantly improve code readability, maintainability, and design. Follow along for more Python Developer Nuggets. #Python #PythonDeveloper #Django #BackendDevelopment #CleanCode #SoftwareEngineering #CodingTips #Developers #LearnPython #TechLearning

Python Tricks That Feel Illegal Python has some tricks that feel almost illegal 😳 Content: Here are 3 Python tricks every developer should know: ✅ Swap two variables (no temp variable) a, b = b, a ✅ Reverse a string in 1 line s = s[::-1] ✅ Multiple variables in one line a, b, c = 1, 2, 3 Why this matters: These small tricks can save time and make your code look clean and smart. Pro Tip: Good developers don’t write more code… they write smarter code. CTA: Follow me for more Python tips 🚀 Save this post for later 💾 #Python #CodingTips #Developer #Programming #SoftwareDeveloper #LearnPython #CodeSmart #Tech #Developers #PythonTips

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

🚀 Mastering Exception Handling & Logging in Python 🐍 Handling errors effectively is what separates a good developer from a great one. Recently, I strengthened my understanding of Exception Handling & Logging in Python, and here are some key takeaways: 🔹 Exception Handling - Used "try-except" blocks to gracefully handle runtime errors - Leveraged "finally" for cleanup actions - Created custom exceptions for better error clarity - Avoided generic exceptions to ensure precise debugging 🔹 Logging Best Practices - Replaced "print()" with the "logging" module - Used different levels: "DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL" - Configured log formats for better readability - Stored logs in files for tracking and debugging 🔹 Why It Matters ✔ Improves application reliability ✔ Makes debugging faster and easier ✔ Helps in production monitoring 💡 “Code that handles errors well is code that survives in production.” #Python #ExceptionHandling #Logging #SoftwareDevelopment #CodingBestPractices #BackendDevelopment #DataEngineering

🐍 Python Tip – Day 2 Swap two variables in one line Many beginners write code like this: ❌ Traditional Way a = 5 b = 10 temp = a a = b b = temp But in Python, you can swap variables in a single line. ✔ Pythonic Way a = 5 b = 10 a, b = b, a ✨ Output a = 10 b = 5 💡 Why this is useful • Cleaner code • No temporary variable needed • Faster and more readable This is one of the reasons developers love Python — it makes common tasks simple and elegant. #Python #PythonTips #Coding #LearnPython #Developers Python Python Development Company

🚀 Beginner Python Project: Fake News Headline Generator Excited to share one of my Python beginner projects! In this project, I built a Fake News Headline Generator using fundamental Python concepts: ✔️ Lists to store data (subjects, actions, places) ✔️ random.choice() for random selection ✔️ While loop for continuous execution ✔️ User input handling (input()) ✔️ Print statements for output ✔️ f-strings & string concatenation for formatting 💡 The program generates random headlines and allows the user to decide whether they want more. Based on the input, the loop continues or stops. This project really helped me strengthen my understanding of core Python concepts and logic building. Looking forward to creating more such interactive projects! #Python #BeginnerProjects #CodingJourney #Programming #LearningPython #Tech