Stop watching random AI courses: Complete Guide to AI Engineering

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Stop watching random AI courses: Complete Guide to AI Engineering

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How TypedDict in Python Revolutionized My Coding Workflow

How TypedDict in Python Revolutionized My Coding Workflow TypedDict, introduced in Python 3.8 as part of the typing module, has been a game-changer for developers who use Python for projects requiring structured, dynamic data. Here’s a breakdown of how TypedDict transformed my coding workflow: 1. Enhanced Code Readability Advancements TypedDict allows me to define structured dictionaries with a clear schema, making it easy for me and my collaborators to understand the shape of the data at a glance. For example: from typing import TypedDict class User(TypedDict): name: str age: int is_active: bool Before TypedDict, I often relied on comments or informal conventions to describe the structure of dictionaries, which could lead to misunderstandings. With TypedDict, the structure is explicitly defined in code. 2. Static Type Checking One of the biggest wins is leveraging static type checkers like mypy . TypedDict integrates seamlessly, enabling early detection of...

Many people left Meta after Zuckerberg's changes, but user numbers have rebounded

Yes, Meta experienced significant changes under Mark Zuckerberg's leadership, especially with the company's pivot toward the metaverse and investments in AI and virtual/augmented reality. These shifts led to organizational restructuring, layoffs, and some employees leaving voluntarily. However, the platforms under Meta (like Facebook, Instagram, and WhatsApp) have maintained strong user engagement. For example: Facebook's user base continues to grow in regions like Asia and Africa, offsetting stagnation or decline in mature markets. Instagram remains a top choice for younger audiences, especially with features like Reels competing with TikTok. WhatsApp remains the leading messaging app globally. Meta's investments in AI for personalized recommendations and content curation have helped attract users back, especially as competition in social media continues to rise. Would you like more details on any specific aspect of Meta's strategies or user trends?

Don’t return NONE in Python to handle missing values

Instead of returning None for missing values in Python, you can use several alternative approaches: 1. Return a Default Value Instead of None , return a meaningful default value that represents a missing state. def get_value(data, key, default="N/A"): return data.get(key, default) data = {"name": "Alice"} print(get_value(data, "age")) # Output: N/A 2. Raise an Exception If a missing value is considered an error, raise an appropriate exception. def get_value(data, key): if key not in data: raise KeyError(f"Key '{key}' not found") return data[key] data = {"name": "Alice"} # print(get_value(data, "age")) # Raises KeyError: Key 'age' not found 3. Use Sentinel Objects Define a unique object to represent missing values instead of None . MISSING = object() def get_value(data, key, default=MISSING): return data.get(key, default) if default is not MISSING else ...

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