Technologies
Highlighting top generative AI tools and real-world examples that show how they’re transforming industries.
Technologies
Amazon explores AI-generated imagery to create targeted, efficient ads and improve marketing results for brands.
Technologies
Technologies
Technologies
Technologies
Technologies
Technologies
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Domino Data Lab introduces tools and practices to support safe, ethical, and efficient generative AI development.
Discover Oracle’s GenAI: built-in LLMs, data privacy guarantees, seamless Fusion Cloud integration, and more.
Discover top industries for AI contact centers—healthcare, banking fraud detection, retail, and a few others.
Understand deepfakes, their impact, the creation process, and simple tips to identify and avoid falling for fake media.
Struggling with Copilot's cost or limits? Explore smarter alternative AI tools with your desired features and workflow.
Compare Intel’s AI Gaudi 3 chip with Nvidia’s latest to see which delivers better performance for AI workloads.
Salesforce brings generative AI to the Financial Services Cloud, transforming banking with smarter automation and client insights
Explore how Rabbit R1 enhances enterprise productivity with AI-powered features that streamline and optimize workflows.
Need to share a ChatGPT chat? Whether it’s for work, fun, or team use, here are 7 simple ways to copy, link, or export your conversation clearly
Think generative AI risks are under control? Learn why security issues tied to AI models are growing fast—and why current defenses might not be enough
Need to save your pandas DataFrame as a CSV file but not sure which method fits best? Here are all the practical ways to do it—simple, flexible, and code-ready
Want to organize your pandas DataFrame without confusion? This guide shows clear, practical ways to sort by values, index, custom logic, or within groups
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Learn how to loop through dictionaries in Python with clean examples. Covers keys, values, items, sorted order, nesting, and more for efficient iteration
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Learn how to concatenate two or more DataFrames in pandas using concat(), append(), and keys. Covers row-wise, column-wise joins, index handling, and best practices
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Learn 10 clean and effective ways to iterate over a list in Python. From simple loops to advanced tools like zip, map, and deque, this guide shows you all the options
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Learn how __init__ in Python works to initialize objects during class creation. This guide explains how the Python class constructor sets instance variables, handles defaults, and simplifies object setup
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Learn how the Python list extend() method works with practical, easy-to-follow examples. Understand how it differs from append and when to use each
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Discover different methods to check if an element exists in a list in Python. From simple techniques like using in to more advanced methods like binary search, explore all the ways to efficiently check membership in a Python list
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Master the Python list insert() method with this easy-to-follow guide. Learn how to insert element in list at specific positions using simple examples
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How to replace values in a list in Python with 10 easy methods. From simple index assignment to advanced list comprehension, explore the most effective ways to modify your Python lists
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Learn how to use matplotlib.pyplot.subplots() in Python to build structured layouts with multiple charts. A clear guide for creating and customizing Python plots in one figure
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Learn how to connect Kafka to MongoDB and build a simple, reliable data pipeline that moves real-time messages into a NoSQL database efficient-ly
