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In some cases, the time complexity can be O(1), which means it takes the same amount of time regardless of how big the input is. But in other cases, like when we compare every item in a list, the time complexity can be O(n), which means it takes more time as the input gets bigger. So, both can be correct depending on what exactly we are talking about.
Great analogy with the mugs to explain good UX versus bad UX! It really shows how thoughtful design can enhance user satisfaction. I use Plerdy’s free version on my website because it helps me ensure that users are having a good experience, similar to choosing a well-designed mug. It's all about making things comfortable and functional! ☕
Thank you for your kind words! I'm glad the mug analogy helped explain good and bad UX. It's great to hear you're using Plerdy to improve your website's user experience. Just like a well-designed mug makes drinking more enjoyable, a well-designed website makes visiting more pleasant and easy for users. Keep up the good work!
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Hello, if Streamlit is underlined in yellow in VSCode, try checking the installation with pip show streamlit, restart VSCode, ensure your virtual environment is activated, verify your import statement is import streamlit as st, and consider disabling or configuring the linter, as it might be causing the yellow underline. This should help fix the issue!
Hi! QlikSense does not need a lot of coding. You can use it to create reports and dashboards with just a few clicks. Sometimes, you might need to write some simple scripts to clean or combine data, but you don't have to be a coding expert. Most of the work is done using a drag-and-drop interface.
Azure Databricks and Azure Synapse are both used for big data and analytics: 1. Azure Databricks: Best for big data processing and machine learning. 2. Azure Synapse: Best for data warehousing and SQL-based analytics. 3. Connection: They can integrate, using DataBricks for processing and Synapse for storage and analysis.
Hello! To get international accreditation in AI, follow these steps: 1. Research: Look for organizations that offer AI accreditation. Examples are CertNexus, IBM, and Microsoft. 2. Check Requirements: Each organization has different requirements. Some may need you to take courses or have experience in AI. 3. Enroll in a Program: Sign up for the program that fits your needs. You may need to study and complete assignments. 4. Take the Exam: After studying, you will take an exam to show your knowledge. 5. Get Certified: If you pass the exam, you will receive your accreditation. Make sure to check if the program is recognized internationally. Good luck!
