Python Capitalization Matters in Coding

🚀 Just Built My First API Integration Project in Python! Today I worked on integrating a live Quotes API using Python and the requests library. GITHUB Repo Link:- https://lnkd.in/gdx-b94v The project fetches random motivational quotes from an online API and displays them in real-time. 💡 Key learnings from this project: How to work with APIs and endpoints Handling JSON responses in Python Using response.raise_for_status() for error handling Writing clean exception handling with try-except Saving API data into a file with timestamps 📌 Built Features: Fetch random quotes from API Display quote & author in terminal Save quotes in a text file for future use This small project helped me understand how real-world applications communicate with external services. Next step: Building a GUI-based Quote Generator App 🚀 #Python #APIs #BeginnerProjects #CodingJourney #100DaysOfCode #Developers #LearningByDoing

Learn Python web development with our comprehensive guide, covering setting up a development environment, choosing a framework, and building a simple web application with Python https://lnkd.in/gTDFTgpV #PythonWebDevelopment Read the full article https://lnkd.in/gTDFTgpV

Do you know the difference between @staticmethod and @classmethod in Python? Most beginners use one or the other without fully understanding why. @staticmethod does not receive any implicit argument. It belongs to the class only for organisational purposes — it could live anywhere, but it makes sense to keep it there. @classmethod receives the class itself as the first argument, conventionally called cls. This means it can access and modify class-level data. The rule is simple: if the method needs the class, use @classmethod. If it needs nothing, use @staticmethod. In the image below you can see both methods applied to the same class. validate_email does not need to know anything about the class — it just validates a string. increment_count needs access to user_count, which belongs to the class itself, not to any specific instance. 💭 Have you ever used one when you should have used the other? #Python #Backend #PythonDeveloper #BuildingInPublic #HKingsJourney

Doqtor officially supports Python now. I've been expanding the ecosystem so you can keep your Python docs in sync with your code automatically. It detects changes in .py functions and classes and updates your READMEs or docs so they stay honest. I also just added a Drift Analytics Dashboard. You can see your documentation health at a glance by tracking PRs, how much drift was detected, and which files are the top offenders. Data driven documentation management makes a huge difference. Check it out on GitHub: https://lnkd.in/g7pzX6Aw #OpenSource #Python #TypeScript #BuildInPublic #Documentation

🐍📰 In this step-by-step project, you'll create a to-do application for your command line using Python and Typer. You'll learn the basics of Typer, a modern and versatile library for building command-line interfaces (CLI) #python

𝗙𝗹𝗮𝘀𝗸 𝗧𝗿𝗲𝗻𝗱𝘀 𝗮𝗻𝗱 𝗙𝘂𝘁𝘂𝗿𝗲 Flask is a micro web framework written in Python. It has a minimalist structure, giving developers flexibility to shape their applications as they want. You can use Flask to build your web applications. It is simple and easy to use. Source: https://lnkd.in/g2hRk_BN

🧠 Python Concept: pass statement Do nothing… but intentionally 😎 ❌ Problem if True: # nothing here 👉 Error ❌ (Python expects something inside) ✅ Pythonic Way if True: pass 🧒 Simple Explanation Think of pass like a placeholder 🧩 ➡️ “I’ll add code later” ➡️ Keeps program running ➡️ Does nothing 💡 Why This Matters ✔ Avoid syntax errors ✔ Useful in empty blocks ✔ Helps in planning code ✔ Common in real projects ⚡ Bonus Examples 👉 In functions: def future_function(): pass 👉 In loops: for i in range(5): pass 🐍 Sometimes doing nothing is important 🐍 Write code step by step #Python #PythonTips #CleanCode #LearnPython #PassStatement #Programming #DeveloperLife #100DaysOfCode

Rust averages 89.0 across the projects we scored. Python averages 64.9. A 24-point gap that mostly traces to the compiler. But Rust's testing average is 62.9, only slightly better than Go's 59.8 or Python's 58.0. A safer language reduces the number of bugs tests need to catch. It does not make sure the tests exist. The compiler can protect you from whole classes of mistakes. It cannot make you verify the ones it does not cover. More: https://lnkd.in/dmgVszed

📦 Something I didn't expect while learning Django: Adding features is easy. Maintaining them is not. At first, every new feature feels exciting. Everything works. But after a few features: → Code starts overlapping → Small changes affect multiple places → Debugging takes longer Then I realized: 👉 The real challenge isn't building features. 👉 It's keeping the system manageable as it grows. Now I think more before adding anything new. Every new feature is also future responsibility. #Django #BackendDevelopment #Python #LearningInPublic

I'm trying a new way to learn: writing everything down in public. I just put together a personal DevLog. I'm starting with TypeScript and tracking my solutions to Exercism exercises. Once I get comfortable here, I’ll be adding my notes on React, Python, and some other projects. Writing things down helps me remember what I learn, and maybe my notes can help someone else who is stuck on the same problems. Here is the link: https://lnkd.in/gaqUG2mM