How To Install python36-cytoolz on CentOS 7
Introduction
In this tutorial we learn how to install python36-cytoolz
on CentOS 7.
What is python36-cytoolz
Cython implementation of the toolz package, which provides high performance utility functions for iterables, functions, and dictionaries. toolz is a pure Python package that borrows heavily from contemporary functional languanges. It is designed to interoperate seamlessly with other libraries including itertools, functools, and third party libraries. High performance functional data analysis is possible with builtin types like list and dict, and user-defined data structures; and low memory usage is achieved by using the iterator protocol and returning iterators whenever possible. cytoolz implements the same API as toolz. The main differences are that cytoolz is faster (typically 2-5x faster with a few spectacular exceptions) and cytoolz offers a C API that is accessible to other projects developed in Cython. Since toolz is able to process very large (potentially infinite) data sets, the performance increase gained by using cytoolz can be significant. See the PyToolz documentation at http
We can use yum
or dnf
to install python36-cytoolz
on CentOS 7. In this tutorial we discuss both methods but you only need to choose one of method to install python36-cytoolz.
Install python36-cytoolz on CentOS 7 Using yum
Update yum database with yum
using the following command.
After updating yum database, We can install python36-cytoolz
using yum
by running the following command:
Install python36-cytoolz on CentOS 7 Using dnf
If you don’t have dnf installed you can install DNF on CentOS 7 first.
Update yum database with dnf
using the following command.
After updating yum database, We can install python36-cytoolz
using dnf
by running the following command:
How To Uninstall python36-cytoolz on CentOS 7
To uninstall only the python36-cytoolz
package we can use the following command:
References
Summary
In this tutorial we learn how to install python36-cytoolz
on CentOS 7 using yum
and dnf
.