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Want to take a #Python #Pandas series of strings, and get datetime values? Use pd.to_datetime: pd.to_datetime(df['x']) Notice: It's not a method! It's a top-level pd function. Specify a non-standard "format" with a strftime string: pd.to_datetime(df['x'], format='%d/%m/%Y')

Many Python beginners get confused with this concept. List vs Tuple. At first, they look the same. But they are not. Here’s the simple difference: List: • Mutable (can be changed) • Uses square brackets [] • Example: numbers = [1, 2, 3] Tuple: • Immutable (cannot be changed) • Uses parentheses () • Example: numbers = (1, 2, 3) So when should you use them? ✓ Use a List when your data can change ✓ Use a Tuple when your data should stay fixed Understanding this small difference can make your code better and more efficient. 😳 Did you know this difference before? #python #listvstuple #blujay #blujaytechnologies

Function with Return Value Python def add_numbers(a, b): return a + b result = add_numbers(5, 7) print("Sum:", result) # Output: # Sum: 12

Typescript: start_date = historyStartDate.toISOString() Is not recongnized by Python's datetime.fromisoformat(start_date) ---- The issue is that TypeScript's toISOString() appends a "Z" (for Zulu/UTC), but Python's datetime.fromisoformat()—specifically in versions older than 3.11—is notoriously strict and doesn't recognize "Z" as a valid suffix for UTC. ----

🐍📰 Python 3's pathlib Module: Taming the File System How to effectively work with file system paths in Python 3 using the new "pathlib" module in the standard library #python

Built a Python package this week. It's called sklog — colored terminal logging, no dependencies, no setup. Nothing fancy. Just something I kept rewriting across projects and finally packaged it. PyPI → https://lnkd.in/gYPsjCvn GitHub → https://lnkd.in/gx7B2APn #Python #OpenSource #foss

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

Tiny Python upgrade for cleaner analytics code: Use Counter instead of manual dict increments. You get frequency maps in one pass and top-N insights with most_common(). Less boilerplate, fewer mistakes, faster review. Mini pattern: - counts = Counter(values) - top = counts.most_common(3) - act on thresholds #Python #CodingTips #Backend #DevTips #SoftwareEngineering

Day 4 – Python Functions Key point: How to create & use functions Mini snippet: Python def greet(name): return f"Hello, {name}!" print(greet("Bala"))

6 Python built-ins. no libraries. no installs. just cleaner code. if you’re still writing range(len()) in 2026 — this is for you. #Python #Backend #DataEngineering #CleanCode