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.
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,