Tejas Sakpal’s Post

I am working on a project and realized that if I manually write rules for every single Python library and keyword, it could take me 10 years or more to complete. Then I thought, why not define rules only for primitive actions? So I decided to create rules for just five behaviors: allocation, reference, transformation, containment, and flow. Hopefully this approach will work. Fingers crossed. Let’s see how it goes. #Programming #Python #SoftwareEngineering #SystemDesign #ComputerScience #ProgrammingLanguages #CodeArchitecture #DeveloperLife #CodingJourney #BuildInPublic #TechInnovation #ProgrammingConcepts #SoftwareArchitecture #CodeDesign #Abstraction #PrimitiveOperations #DeveloperThinking #EngineeringMindset #TechBuilders #FutureOfProgramming #CodingResearch #DeepTech #ProblemSolving #Innovation #StartupIdeas #AIEngineering #TechCreators #EngineeringThoughts #CodingPhilosophy #DevCommunity

Consistency in coding style is just as important as writing logic. In Python, indentation is not just formatting — it defines code structure. Following best practices like 4 spaces per indentation level (PEP 8) helps improve readability, maintainability, and team collaboration. Small habits today build clean and scalable code tomorrow. 💻 #Python #CodingBestPractices #CleanCode

🐍 No Zero Days One rule I’m following in 2026: 👉 Make every day count — even if it’s just a little practice. 👉 Even on Sundays. ✅ One coding problem ✅ One concept revisited ✅ One small improvement in old code ✅ One insight written down That’s it. Progress is progress — and it compounds. #NoZeroDays #Python #LearningInPublic #DataAnalytics #AnalyticsMindset 

📘 Day 18 of my #90DaysPythonChallenge Focus: Python Foundations for Prompt Engineering Today, I worked on writing clean, modular Python code specifically for Prompt Engineering workflows. 🔹 Built reusable functions for prompt generation 🔹 Used *args and **kwargs for flexible inputs 🔹 Implemented basic decorators for logging and validation 🔹 Structured code into modules for scalability This practice helped me understand how real-world prompt pipelines are designed and maintained in production systems. 📂 Practice code available on GitHub: https://lnkd.in/dnNfeh_f #Python #90DaysPythonChallenge #PromptEngineering #LearningInPublic #CodingJourney

🐍I love List Comprehensions in #Python! Many think they are hard and less readable... But once you understand the syntax they're actually much easier and more readable than the alternative... And they're also very flexible. You can create single/multiple loops, add filter condition, add value conditions... Super powerful and it's even a little faster than regular code. So I made this graphic in the past to help you better understand them. Happy Coding! -------------------- P.S. Did you know all these use cases for List Comprehension?

🚀 Inheritance: Creating Hierarchies of Classes (Python) Inheritance allows you to create new classes (derived classes or subclasses) based on existing classes (base classes or superclasses). The derived class inherits attributes and methods from the base class, promoting code reuse and establishing an 'is-a' relationship. This enables you to create specialized classes with additional functionality while maintaining common characteristics. Inheritance supports the creation of hierarchical class structures, making code more organized and manageable. #Python #PythonDev #DataScience #WebDev #professional #career #development

🚀 Inheritance: Creating Hierarchies of Classes (Python) Inheritance allows you to create new classes (derived classes or subclasses) based on existing classes (base classes or superclasses). The derived class inherits attributes and methods from the base class, promoting code reuse and establishing an 'is-a' relationship. This enables you to create specialized classes with additional functionality while maintaining common characteristics. Inheritance supports the creation of hierarchical class structures, making code more organized and manageable. #Python #PythonDev #DataScience #WebDev #professional #career #development

🚀 Levelling up Python with match! One of the most exciting additions in Python 3.10 is the match statement — a cleaner, more powerful alternative to long if...elif...else chains. ✨ Why it matters: Simplifies code readability Supports complex patterns (tuples, types, conditions) Uses _ as a wildcard for default cases Brings Python closer to the elegance of switch-case constructs in other languages For anyone working on decision-heavy logic, this is a game-changer. Cleaner code → fewer bugs → faster collaboration. 💡 Curious: Have you started using match in your projects yet? How does it compare to your old conditional workflows? #Python #CodingTips #SoftwareDevelopment #Python310 #CleanCode

Excited to share my latest project: Rule-Based Expert System! This is a Python-based rule system that recommends project ideas based on user interest and skill level. It demonstrates basic conditional logic and beginner-friendly decision-making in Python. Features: - Takes user input (domain & skill level) - Suggests relevant project ideas - Simple and interactive Check it out on my GitHub: https://lnkd.in/gvPRKg7M #Python #AI #MachineLearning #RuleBasedSystem #Project #Coding

Today I learned about if conditions — how programs make decisions. Just like in real life, code also decides what to do based on situations. If condition = logic begins. Logic begins = backend starts making sense. Slowly understanding how real applications think behind the scenes. 💡 Learning. Improving. Building. 🚀 #Python #PythonDeveloper #FullStackDevelopment #BackendDevelopment #CodingJourney #LearningInPublic #DeveloperLife