Today’s Python lesson was a quiet reminder that time is one of the most useful things code can help us handle. 🐍 Day 16 of my #30DaysOfPython journey was all about date and time. Python’s date and time module helps us work with: 1. current date and time 2. formatted date strings 3. converting strings into datetime objects 4. time objects 5. time differences and time spans A few things I explored today: 1. dir() and help() to check what a module offers 2. datetime.now() for current date, time, and timestamp 3. strftime() for formatting dates and time 4. strptime() for converting string dates into datetime objects 5. date() to get only day, month, and year 6. subtraction to find the difference between two time points 7. timedelta() to work with time intervals What stood out to me today was how Python does not just store time — it helps you shape it, compare it, and format it in ways that actually make sense for real projects. One more day, one more topic, one more layer of Python making everyday things easier to manage. Github Link - https://lnkd.in/gMy-QseU #Python #LearnPython #CodingJourney #30DaysOfPython #Programming #DeveloperJourney

🚀 Day 6/30 of My LeetCode Journey (Python + SQL) Consistency is slowly turning into confidence 💪📈 🔹 **Python Problem of the Day** 👉 *Plus One* Given an integer represented as an array of digits, increment the number by one and return the resulting array. 💡 *Key Concept:* Handling carry from the last digit (especially edge cases like 9 → 10). 🔹 **SQL Problem of the Day** 👉 *Game Play Analysis I* Given a table of player activity, write a query to find the first login date for each player. 💡 *Key Concept:* GROUP BY with MIN() to extract earliest dates. Every day learning something new, refining logic, and improving speed ⚡ Day 6 done ✅ #LeetCode #30DaysChallenge #Python #SQL #CodingJourney #Consistency #ProblemSolving #Learning

I’ve put together a quick reference guide covering essential Python Dictionary and Set methods! 🐍 Whether you are just starting out with Python or need a quick refresher, this document walks through everything from basic dictionary operations like .get() and .update(), to mathematical set operations like .intersection() and .symmetric_difference(). It includes brief explanations and simple code snippets for each method to help you write cleaner, more efficient code. Check out the document below, and let me know your favorite or most-used method in the comments! 👇 #Python #Programming #Coding #DataStructures #PythonDeveloper #Cheatsheet

Managing Python environments shouldn’t be a nightmare. But for many — it still is. Here’s how to keep things clean, fast, and production-ready in 2026: 🛠️ Use uv or poetry to manage environments & dependencies. Faster, safer, and simpler than old-school pip+venv. ⚡ Speed matters – use polars, numpy, and numba to vectorize heavy loops. Even small tweaks can give 10× performance wins. 🧼 Lint + Format + Type-check = non-negotiable Ruff for linting Black for formatting Pyright or Pyrefly for fast type-checks 💡 Bonus tip: Use Typer to build CLIs in minutes. So clean, it feels like magic. 💬 What’s one Python setup rule you wish you knew earlier? #Python #CodeQuality #Productivity #DevTools #DataEngineering

Your users are waiting. And leaving. Because your response takes too long. You send everything at once. Big mistake. Django has a hidden weapon: StreamingHttpResponse. Instead of waiting… It sends data in chunks. User sees data instantly ⚡ No loading pain. No frustration. Use it when: → Large files → Real-time output → Slow processing Stop making users wait. Stream it. #Django #Python #WebDevelopment #BackendDevelopment #DjangoTips

Have you ever needed to add a math description for your Python function but found it time-consuming? Non-programmers cannot easily read Python logic. However, manually converting it to LaTeX is slow and quickly becomes outdated as the code changes. latexify_py solves this with a single decorator, generating LaTeX directly from your function so the math stays readable and always in sync with the code. Key capabilities: • Three decorators for different outputs: expressions, full equations, or pseudocode • Displays rendered LaTeX directly in Jupyter cells • Functions still work normally when called Plus, latexify_py is open source! Install it with "pip install latexify-py". 🚀 Article on 3 tools that convert Python code to LaTeX: https://bit.ly/4dS4gOB ☕️ Run this code: https://bit.ly/4bW2ycE #Python #LaTeX #DataScience

🎉 LaTeX expressions written easily from Python using Latexify library. pip install latexify_py Decorators: - @latexify.expression - @latexify.algorithmic 🍀 Check out Khuyen Tran’s blog post on how to write LaTeX using Latexify, Sympy and regular IPython: https://lnkd.in/gCtsnSDS #bookmark #python #latex #pylib #latexify #tipsandtricks

Today’s Python topic felt like the point where code stops being one-time work and starts becoming reusable. 🐍 Day 11 of my #30DaysOfPython journey was all about the basics of function, and this one was a big reminder that good code is not just about writing more — it is about writing smarter. A function is a reusable block of code designed to do a specific task, and in Python, we define it using the def keyword. Today I explored: 1. How functions are created and called 2. How return sends values back from a function and return None when nothing is returned 3. Passing parameters and arguments 4. Passing arguments using key-value style 5. Default parameters 6. Arbitrary arguments with *args 7. Arbitrary named arguments with **kwargs What stood out to me today was how functions make code feel organized, reusable, and much easier to scale. Instead of repeating the same logic again and again, you write it once and use it wherever needed. One more day, one more topic, one more step toward writing code that is cleaner, smarter, and actually built to last. Github Link - https://lnkd.in/gUhhaW_y #Python #LearnPython #CodingJourney #30DaysOfPython #Programming #DeveloperJourney

🌟 New Blog Just Published! 🌟 📌 5 Free Ways to Host and Deploy Your Python Application Online 🚀 📖 Imagine you just finished a Python script that predicts bike rentals, and you want anyone on the internet to try it. You’ve already debugged locally, so the next step feels both exciting and...... 🔗 Read more: https://lnkd.in/d_7ywFbN 🚀✨ #freepythonhosting #pythondeployment #webapphosting

Most developers waste hours on bad code. All because they skip one simple thing. 🔥 How Python Functions Work 👇 Stage 1: Plan ──▶ Pick a task ──▶ Name your function Stage 2: Write ──▶ Use def keyword ──▶ Add your logic Stage 3: Input ──▶ Pass your values ──▶ Set parameters Stage 4: Run ──▶ Call the function ──▶ See the output Stage 5: Reuse ──▶ Call it again ──▶ Save more time Functions keep your code clean. They save time. They make fixing bugs easy. Write once. Use many times. That is the real power of Python. 💡 Have you written your first Python function yet? Drop a YES or NO below 👇 #Python #PythonBasics #LearnPython #CodingForBeginners