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标题: 深入解析 Conda 安装的默认依赖包及其作用:conda create安装了哪些包(中 [打印本页]

作者: 欢乐狗    时间: 2024-12-31 04:18
标题: 深入解析 Conda 安装的默认依赖包及其作用:conda create安装了哪些包(中
深入解析 Conda 安装的默认依赖包及其作用

当我们使用 Conda 创建新情况时,例如执行下令:
  1. conda create -n olmes python=3.10
复制代码
Conda 会自动为我们安装一系列底子依赖包,保证 Python 情况可以或许正常运行。这些包不仅是我们开发的底子工具,照旧 Conda 情况可以或许顺利管理依赖的关键组件。本文将详细先容这些安装的默认包,包罗它们的作用、为何必须安装以及它们的相互关系。
下面是安装的详细的包:
  1. The following packages will be downloaded:
  2.     package                    |            build
  3.     ---------------------------|-----------------
  4.     python-3.10.16             |       he870216_1        26.9 MB
  5.     ------------------------------------------------------------
  6.                                            Total:        26.9 MB
  7. The following NEW packages will be INSTALLED:
  8.   _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main
  9.   _openmp_mutex      pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu
  10.   bzip2              pkgs/main/linux-64::bzip2-1.0.8-h5eee18b_6
  11.   ca-certificates    pkgs/main/linux-64::ca-certificates-2024.11.26-h06a4308_0
  12.   ld_impl_linux-64   pkgs/main/linux-64::ld_impl_linux-64-2.40-h12ee557_0
  13.   libffi             pkgs/main/linux-64::libffi-3.4.4-h6a678d5_1
  14.   libgcc-ng          pkgs/main/linux-64::libgcc-ng-11.2.0-h1234567_1
  15.   libgomp            pkgs/main/linux-64::libgomp-11.2.0-h1234567_1
  16.   libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-11.2.0-h1234567_1
  17.   libuuid            pkgs/main/linux-64::libuuid-1.41.5-h5eee18b_0
  18.   ncurses            pkgs/main/linux-64::ncurses-6.4-h6a678d5_0
  19.   openssl            pkgs/main/linux-64::openssl-3.0.15-h5eee18b_0
  20.   pip                pkgs/main/linux-64::pip-24.2-py310h06a4308_0
  21.   python             pkgs/main/linux-64::python-3.10.16-he870216_1
  22.   readline           pkgs/main/linux-64::readline-8.2-h5eee18b_0
  23.   setuptools         pkgs/main/linux-64::setuptools-75.1.0-py310h06a4308_0
  24.   sqlite             pkgs/main/linux-64::sqlite-3.45.3-h5eee18b_0
  25.   tk                 pkgs/main/linux-64::tk-8.6.14-h39e8969_0
  26.   tzdata             pkgs/main/noarch::tzdata-2024b-h04d1e81_0
  27.   wheel              pkgs/main/linux-64::wheel-0.44.0-py310h06a4308_0
  28.   xz                 pkgs/main/linux-64::xz-5.4.6-h5eee18b_1
  29.   zlib               pkgs/main/linux-64::zlib-1.2.13-h5eee18b_1
  30. Proceed ([y]/n)? y
  31. Downloading and Extracting Packages:
  32.                                                                                                                                                                                        
  33. Preparing transaction: done
  34. Verifying transaction: done
  35. Executing transaction: done
  36. #
  37. # To activate this environment, use
  38. #
  39. #     $ conda activate olmes
  40. #
  41. # To deactivate an active environment, use
  42. #
  43. #     $ conda deactivate
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1. 安装的默认包及其作用

在你创建新情况时,Conda 会为你安装 Python 表明器及一系列底子包。以下是你所安装的包及其作用:
1.1 python-3.10.16


1.2 _libgcc_mutex-0.1-main


1.3 _openmp_mutex-5.1-1_gnu


1.4 bzip2-1.0.8-h5eee18b_6


1.5 ca-certificates-2024.11.26-h06a4308_0


1.6 ld_impl_linux-64-2.40-h12ee557_0


1.7 libffi-3.4.4-h6a678d5_1


1.8 libgcc-ng-11.2.0-h1234567_1


1.9 libgomp-11.2.0-h1234567_1


1.10 libstdcxx-ng-11.2.0-h1234567_1


1.11 libuuid-1.41.5-h5eee18b_0


1.12 ncurses-6.4-h6a678d5_0


1.13 openssl-3.0.15-h5eee18b_0


1.14 pip-24.2-py310h06a4308_0


1.15 python-3.10.16-he870216_1


1.16 readline-8.2-h5eee18b_0


1.17 setuptools-75.1.0-py310h06a4308_0


1.18 sqlite-3.45.3-h5eee18b_0


1.19 tk-8.6.14-h39e8969_0


1.20 tzdata-2024b-h04d1e81_0


1.21 wheel-0.44.0-py310h06a4308_0


1.22 xz-5.4.6-h5eee18b_1


1.23 zlib-1.2.13-h5eee18b_1


2. 为什么要安装这些包?

在 Conda 情况中安装这些包并非是为了满意项目的直接需求,而是为了确保 Python 情况可以或许正常运行并处理各种依赖。通过这些包,Conda 情况提供了一个稳固的运行时情况,支持各种 Python 程序和库的开发。

3. 结论

通过对 Conda 创建情况时安装的默认包的详细分析,我们可以看到每个包在 Python 情况中的紧张性。它们不仅确保了 Python 程序的正常运行,还帮助开发者更高效地管理和分发软件包。在使用 Conda 时,理解这些底子包的作用,可以或许帮助你更好地管理开发情况,避免潜伏的依赖题目,并提高开发效率。
英文版:
A Detailed Guide to Default Dependencies Installed by Conda

When creating a new environment with Conda using a command like:
  1. conda create -n olmes python=3.10
复制代码
Conda automatically installs a set of default dependencies to ensure the smooth functioning of your Python environment. These packages are essential for proper package management and ensuring the stability of your development setup. In this post, we will dive into the default packages installed, explaining their purpose, why they are necessary, and how they contribute to the Conda environment.
1. Overview of Installed Default Packages and Their Purposes

When you create a new environment, Conda installs Python and a set of essential packages. Below is a breakdown of the installed packages and their respective roles:
1.1 python-3.10.16


1.2 _libgcc_mutex-0.1-main


1.3 _openmp_mutex-5.1-1_gnu


1.4 bzip2-1.0.8-h5eee18b_6


1.5 ca-certificates-2024.11.26-h06a4308_0


1.6 ld_impl_linux-64-2.40-h12ee557_0


1.7 libffi-3.4.4-h6a678d5_1


1.8 libgcc-ng-11.2.0-h1234567_1


1.9 libgomp-11.2.0-h1234567_1


1.10 libstdcxx-ng-11.2.0-h1234567_1


1.11 libuuid-1.41.5-h5eee18b_0


1.12 ncurses-6.4-h6a678d5_0


1.13 openssl-3.0.15-h5eee18b_0


1.14 pip-24.2-py310h06a4308_0


1.15 python-3.10.16-he870216_1


1.16 readline-8.2-h5eee18b_0


1.17 setuptools-75.1.0-py310h06a4308_0


1.18 sqlite-3.45.3-h5eee18b_0


1.19 tk-8.6.14-h39e8969_0


1.20 tzdata-2024b-h04d1e81_0


1.21 wheel-0.44.0-py310h06a4308_0


1.22 xz-5.4.6-h5eee18b_1


1.23 zlib-1.2.13-h5eee18b_1


2. Why Are These Packages Installed by Default?

These packages are not installed for any specific project needs but are instead required to ensure that the Python environment functions correctly and can handle various dependencies. Conda installs these core packages to provide a stable runtime environment that supports package management, security, performance optimization, and compatibility across different platforms.

3. Conclusion

By examining the default packages installed when creating a Conda environment, we can better understand their importance in maintaining a stable, efficient, and secure development setup. These packages not only provide the necessary tools to run Python programs but also ensure compatibility, security, and performance. Understanding the role of these packages allows developers to manage their environments more effectively and avoid common pitfalls related to dependency management.
跋文

2024年12月30日16点41分于上海,在GPT4o mini辅助下完成。

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