sysctl -w fs.file-max=12000500
sysctl -w fs.nr_open=20000500
# Set the maximum number of open file descriptors
ulimit -n 20000000
# Set the memory size for TCP with minimum, default and maximum thresholds
sysctl -w net.ipv4.tcp_mem='10000000 10000000 10000000'
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| # 1. Download and install go | |
| https://golang.org/doc/install | |
| # 2. Download and install VMware workstation player | |
| https://www.vmware.com/products/workstation-player.html | |
| # 3. Download and install vagrant | |
| https://www.vagrantup.com/downloads | |
| # 4. Download vagrant vmware utility |
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| #!/bin/bash | |
| yum -y install epel-release wget | |
| wget http://pkgs.repoforge.org/rpmforge-release/rpmforge-release-0.5.3-1.el7.rf.x86_64.rpm | |
| rpm -Uvh rpmforge-release-0.5.3-1.el7.rf.x86_64.rpm | |
| wget http://dag.wieers.com/rpm/packages/RPM-GPG-KEY.dag.txt | |
| rpm --import RPM-GPG-KEY.dag.txt |
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| # Need to be sudo to install the following | |
| yum update | |
| yum install -y wget bzip2 tmux | |
| # Download and run anaconda3 for python3 and follow instructions | |
| wget https://repo.continuum.io/archive/Anaconda3-5.3.1-Linux-x86_64.sh | sh | |
| # Conda install essential datascience packages | |
| conda update --all | |
| conda install pandas numpy scipy scikit-learn keras tensorflow pytorch nltk matplotlib seaborn |