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  • 5/24/2025
Conda is a versatile, open-source package and environment management system, primarily used in data science and scientific computing. It handles the installation, management, and updating of packages and their dependencies for various languages, including Python and R. Conda's key feature is its ability to create isolated environments, preventing conflicts between different projects' dependencies.
Transcript
00:00I have a servant introduce myself, and I have a servant named Mr. Konda, and Mr. Konda is a special part of this, that Mr. Konda is a manager for a job, and Mr. Konda is not only for you to install packages and libraries, but you can create a environment for you.
00:30Now, I will explain to you, as I have a part of our machine learning projects, we divide two parts, one part is data analysis, and the other part is machine learning, data analysis, and the other part is machine learning.
00:56Now, I have a different set of libraries. If a mind project is set up, then I have a mix and match. For example, Panda, TensorFlow, and NumPy,
01:14So, let's say, let's say, 3 libraries, 1, 2, and 3, so, let's say, Pandas, NumPy, NumPy,
01:30and then TensorFlow, this package, this package, Mr. Konda, this package, Mr. Konda, this package will be made,
01:40this package, Mr. Konda, this package will be made, not only for this package, but it will be around a environment,
01:48environment, environment, environment, environment, environment, environment, environment,
01:52environment, environment, environment, environment, environment, environment, environment,
01:55environment, environment, environment, environment, environment, environment, environment,
01:57environment, environment, environment, environment, environment, environment, environment,
02:01environment, environment, environment, environment, environment, environment, environment,
02:03environment, environment, environment, environment, environment, environment, environment, environment,
02:05So you have to understand that this is your package manager.
02:10Okay, the package manager is a servant.
02:15I have a tool example for you, if you have 2-4 tools, you don't have a tool box, and you don't have a tool for you,
02:23and if you have an office in a tool, then you have a servant to go to the house,
02:30or two-barket tools to go to the house,
02:33so this is a servant that you have to go to the internet and go to the house,
02:38but this is a smart servant.
02:40It is not only a tool, but you have to create a working environment.
02:44You have to facilitate your work.
02:46And you have to facilitate your work.
02:48You have to facilitate your work.
02:51The other thing is that you have to create a environment.
02:54When you work in big teams,
02:56it is easy to share your project.

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