Home News How to set up PySpark for your Jupyter notebook By Tirthajyoti Sarkar November 12, 2018 PySpark allows Python programmers to interface with the Spark framework to manipulate data at scale and work with objects over a distributed filesystem. Complete Story Facebook Twitter Linkedin Email Print Previous articleVMware Buys Kubernetes-based Heptio to Boost Its Multi-Cloud Strategy Next articleBehind the scenes with Linux containers Get the Free Newsletter! Subscribe to Developer Insider for top news, trends, & analysis Email Address By subscribing, you agree to our Terms of Use and Privacy Policy. Subscribe Must Read Blog How to Install and Configure Memcached on Ubuntu 22.04 Developer How to Install Fedora 40 Server with Screenshots Developer How to Run a Python Script on a PHP/HTML File News Nginx 1.26 Released with Experimental HTTP/3 Support News QEMU 9.0 Released with Raspberry Pi 4 Support, LoongArch KVM Acceleration