Python Dicts Remember Insertion Order

How many NaNs in a #Python #Pandas series? Use isna (returns True/False) then sum/value_counts: s = pd.Series([10, 20, np.nan, 40, 50, np.nan, 70, 80]) s.isna().sum() # returns 2 s.isna().value_counts() # count True/False Hint: Pass normalize=True for the percentage

Today I had problem with #Python which in hindsight looks obvious, but I got too much tunnel vision. See: >>> s = (s1 if isinstance(s1, str) else s2 if isinstance(s2, str) else '') >>> s '' So we got fall-through here. But >>> print(type(s1), type(s2)) <class 'str'> <class 'str'> Well, there was no fall-through, it was a tunnel vision: s1 was empty string, so s got s1 value.

Learning FastAPI and it’s surprisingly elegant. Today I explored: • API routing • Request validation with Pydantic • Dependency Injection • Async handlers The developer experience is insanely good. #Python #FastAPI #Backend #LearnInPublic

A tiny Python trick I learned while using Claude Code While building an app with Claude Code, I noticed it repeatedly using a neat Python pattern I had somehow missed for years. d = {'A': 1, 'B': 2} e = {**d, 'A': 2} print(e) # {'A': 2, 'B': 2} This looks trivial. But the idea behind it is powerful: start from a default dictionary and selectively override fields. It’s a small trick, but it creates a very clean pattern for: ✅ Generating test cases ✅ Configuration overrides ✅ Scenario simulation Sometimes the most useful ideas are not big algorithms. They are small patterns that quietly make code cleaner. #pythonic #claudecode #claude #software #pythontricks #python

Pipelines aren't lists. They're graphs. 🕸️ Most frameworks make you order everything manually. You get it wrong. It crashes. You reorder. Repeat. FRAMEWORM resolves execution order automatically. Detects circular dependencies before runtime. Runs independent nodes in parallel. Caches results so unchanged nodes never re-run. 2-4x faster. Zero babysitting. That's the Dependency Graph Engine. 📦 pip install frameworm #MLOps #MachineLearning #Python #GenerativeAI

 Why Python remembers things after a function is done (code screenshot below) db_connector has finished execution. Its stack frame is gone. Yet connect still remembers host and port. That preserved state is a closure — created automatically when an inner function captures outer scope. You don’t “use closures” explicitly. You design around them. Why this matters: • avoids globals   • keeps config scoped   • cleaner APIs   • safer state Closures aren’t a trick. They’re how Python naturally models state + behavior. Once you notice this, patterns such as DB clients, API wrappers, and rate limiters become obvious. #Python   #SoftwareEngineering   #BackendDevelopment  

A file you're loading into #Python #Pandas uses weird strings for missing values? Use the na_values parameter in read_* methods: pd.read_csv(f, na_values='.') pd.read_csv(f, na_values=['.', '*']) # multiple pd.read_csv(f, na_values={'a':'.', 'b':'*'}) # per column

【🐍-Python-】‐057‐【Media】A Collection of Process-Specific Scripts for Recording -Organization- Sorting Recorded Takes into OK and NG https://lnkd.in/gPhwk5ta Introducing the second Python script to simplify recording workflows👨💻 This script filters out unnecessary takes as NG and reverses NG takes back to OK. It separates OK/NG takes, and when combined with the script scheduled for next time, you can avoid exporting takes marked NG here🌟 ◆Required Plans ・RIGDOCKS -BRONZE- ・RIGDOCKS -SILVER- #AZSTOKE #RIGDOCKS #Reaper #Reascript

Day 5 of my Python journey 🐍📝 Dove deep into string methods today! Strings are now my playground. 🎯 Mastered: Slicing: string[start:end:step] magic ✨ Extended slicing: negative indices, custom steps strip(), lstrip(), rstrip() for clean text isdigit(), isalpha(), isalnum() for validation replace(), split(), join() for transformations Key takeaways: Strings are immutable but methods make them flexible ✅ Slicing [::-1] = instant reverse! 😎 Method chaining = cleaner, readable code Input validation prevents crashes 🛡️ Practiced: text processors, password validators, and format cleaners. Strings unlocked! 🔓 Next: Lists and list comprehensions incoming! 📋 Progress feels unstoppable! 🚀 #Python #Day5 #StringMethods #StringSlicing #PythonStrings #CodingJourney #100DaysOfCode #LearnInPublic #CodeNewbie #DeveloperJourney #Hyderabad #PracticeMakesProgress #PythonForBeginners

Binary search is a pretty simple algorithm, but it can sometimes cause problems, especially with off-by-one index errors. If possible, we should use the language's built-in methods, for example, `bisect` in Python. However, in some cases, we have to implement it ourselves. While an iterative approach is pretty straightforward, sometimes switching to recursion would produce simpler code. Thus, if we already use additional space, and the call stack won't affect the space complexity, it's reasonable to use recursion. The post: https://lnkd.in/dTttqaCW The problem: https://lnkd.in/dTCzj5Qc #LeetCode #DSATips #DSA #ThinkDSA #ProblemSolving