Sudo yum install lapack lapack-devel blas blas-devel configure -prefix=/usr/local -enable-shared LDFLAGS='-Wl,-rpath /usr/local/lib' Sudo yum install zlib-devel bzip2-devel openssl-devel ncurses-devel sqlite-devel readline-devel tk-devel gdbm-devel db4-devel libpcap-devel xz-devel I’ve provided the two web links I used at the top under REFERENCES # REFERENCES # Below are mostly the instructions to install the SciPy stack on 3.4, but they should be able to apply to 2.7 by using the proper version of pip.

CentOS is pre installed with Python2.6 but this version does not include some of the nice features 2.7/3.4 provide. I want to share the operations I performed to install Python2.7 and Python3.4 on CentOS. I know installing software on either one is generally the same despite the use of different package managers, but there were a few online resources I frequently used in which I could no longer reference. The following steps are the installation of the prerequisites for the dlib library,i.e cmake, boost, boost.python etc.My Linux experiences are primarily associated with Ubuntu and, until recently, have never had to work with an rpm style distro. Here we install pip which is used to manage & download Python packages derived from Python package indexes. The steps below demonstrate the installation of the Software Collections or SCL where various versions of software can be installed without affecting the default software package. Installing Python 3.6 & face_recognition & dlib They are used to identify facial landmarks like a nose, mouth, eyes, etc. We would also see how to enable the facial recognition feature using deployment libraries like dlib & OpenCV.

The article below comprises the steps of setting up Python 3.6 on CentOS in the Google Cloud Platform(GCP).

Yum install pip3