🤗 HuggingFace is offering 9 AI courses for FREE!
📩 These 9 courses covers LLMs, Agents, Deep RL, Audio and more
1️⃣ LLM Course:
https://huggingface.co/learn/llm-course/chapter1/1
2️⃣ Agents Course:
https://huggingface.co/learn/agents-course/unit0/introduction
3️⃣ Deep Reinforcement Learning Course:
https://huggingface.co/learn/deep-rl-course/unit0/introduction
4️⃣ Open-Source AI Cookbook:
https://huggingface.co/learn/cookbook/index
5️⃣ Machine Learning for Games Course
https://huggingface.co/learn/ml-games-course/unit0/introduction
6️⃣ Hugging Face Audio course:
https://huggingface.co/learn/audio-course/chapter0/introduction
7️⃣ Vision Course:
https://huggingface.co/learn/computer-vision-course/unit0/welcome/welcome
8️⃣ Machine Learning for 3D Course:
https://huggingface.co/learn/ml-for-3d-course/unit0/introduction
9️⃣ Hugging Face Diffusion Models Course:
https://huggingface.co/learn/diffusion-course/unit0/1
📩 These 9 courses covers LLMs, Agents, Deep RL, Audio and more
1️⃣ LLM Course:
https://huggingface.co/learn/llm-course/chapter1/1
2️⃣ Agents Course:
https://huggingface.co/learn/agents-course/unit0/introduction
3️⃣ Deep Reinforcement Learning Course:
https://huggingface.co/learn/deep-rl-course/unit0/introduction
4️⃣ Open-Source AI Cookbook:
https://huggingface.co/learn/cookbook/index
5️⃣ Machine Learning for Games Course
https://huggingface.co/learn/ml-games-course/unit0/introduction
6️⃣ Hugging Face Audio course:
https://huggingface.co/learn/audio-course/chapter0/introduction
7️⃣ Vision Course:
https://huggingface.co/learn/computer-vision-course/unit0/welcome/welcome
8️⃣ Machine Learning for 3D Course:
https://huggingface.co/learn/ml-for-3d-course/unit0/introduction
9️⃣ Hugging Face Diffusion Models Course:
https://huggingface.co/learn/diffusion-course/unit0/1
huggingface.co
Introduction · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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Forwarded from Coding Interview Preparation
You're giving an interview, and the interviewer asks,
Here's how you can answer:
Sample Answer:
CHAR and VARCHAR2 are both used to store text in SQL, but they work differently. CHAR is fixed-length, meaning it always uses the same amount of space no matter how short the text is. For example, if you set a column to CHAR(10) and store ‘Hi’, it will still take up 10 spaces, adding extra padding to fill the space. This can waste storage but is consistent in size.
VARCHAR2, on the other hand, is variable-length, so it only uses as much space as needed for the text. If you set a column to VARCHAR2(10) and store ‘Hi’, it only takes 2 spaces plus a little extra to store the length, saving space.
Use CHAR when your data is always the same length, like codes or short identifiers. Use VARCHAR2 when your data varies in length, like names or descriptions. CHAR can be slightly faster for fixed-length data, but VARCHAR2 is more efficient for saving space and handling different text lengths.
What is the difference between CHAR and VARCHAR2 datatype in SQL?
Here's how you can answer:
Sample Answer:
CHAR and VARCHAR2 are both used to store text in SQL, but they work differently. CHAR is fixed-length, meaning it always uses the same amount of space no matter how short the text is. For example, if you set a column to CHAR(10) and store ‘Hi’, it will still take up 10 spaces, adding extra padding to fill the space. This can waste storage but is consistent in size.
VARCHAR2, on the other hand, is variable-length, so it only uses as much space as needed for the text. If you set a column to VARCHAR2(10) and store ‘Hi’, it only takes 2 spaces plus a little extra to store the length, saving space.
Use CHAR when your data is always the same length, like codes or short identifiers. Use VARCHAR2 when your data varies in length, like names or descriptions. CHAR can be slightly faster for fixed-length data, but VARCHAR2 is more efficient for saving space and handling different text lengths.
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