Building High-Performance FastAPI REST APIs for Enterprise Environments

Friday brings #Python Let me share another trick. Are you ready for a simple one? You can merge two dictionaries in Python by using the | operator. Isn't that elegant?

Learn the top Python frameworks for LLM apps covering fine-tuning, model loading, serving, RAG pipelines, multi-agent systems, and evaluation. https://lnkd.in/et5TkD-c

Learn how to build a recommendation system with Python and TensorFlow, including content-based filtering, collaborative filtering, and hybrid approaches https://lnkd.in/gpcq_Jpt #Python Read the full article https://lnkd.in/gpcq_Jpt

Day 3 – Python Deep Dive 🚀 Topic: Data Types Common types: int, float, str, bool Example: x = 10 y = 3.5 name = "Python" is_active = True 👉 Key takeaway: Every value in Python has a type. #Python #Coding

Here’s a tiny Python change that pays off fast. Python tip: use `@dataclass(slots=True)` for high-volume models. It removes per-instance `__dict__`, which usually means lower memory usage and slightly faster attribute access. Great for DTOs, parser outputs, event payloads, and cache objects where shape is fixed. Mini rule: if the object schema is stable, add `slots=True` by default. #Python #Performance #CodeQuality #SoftwareEngineering

#7 — Docstring Added / Now It Documents Itself A good function tells you what it does. No need to read the code. Part of the series: One Problem – Different Approaches Start here: https://lnkd.in/dxPDnRXZ #OneProblemDifferentApproaches #CelsiusToFahrenheit #Python #sedatçapar

Want to set the time on a #Python #Pandas series of datetimes to midnight? Use dt.normalize: df['x'].dt.normalize() You get back series of datetime values, but all times are 00:00:00.

🚀 Dictionaries (Python) Dictionaries are unordered collections of key-value pairs. They are defined using curly braces `{}`. Keys must be unique and immutable (e.g., strings, numbers, or tuples). Values can be of any data type. Dictionaries are useful for storing and retrieving data based on a key. #Python #PythonDev #DataScience #WebDev #professional #career #development

Generate a #Python #Pandas DatetimeIndex of datetime values with pd.date_range: pd.date_range(start='2026-03-01', end='2026-05-01', periods=10) This returns a 10-element series with evenly-spaced datetime values in that period.

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