
Discover practical Linux for scientific computing through clear video explanations, start-from-zero concepts, with hands-on projects, challenges, and exercises, plus lifetime access and a 30-day money-back guarantee.
Experiment with a free interactive shell designed for practicing Linux in scientific computing. Learn how the shell works and get started with the course.
Explore Linux for high-performance computing (HPC) workloads on enterprise systems, learning to log in, run jobs with schedulers like Slurm and PBS, and build a virtual HPC environment.
Discover the benefits of high performance computing systems for solving problems with optimized numerical libraries and parallel workloads, including large memory, reliability, and fast private networks for job submission.
Explore the linux command line as a text interface and use the interactive shell to run commands and write shell scripts. Switch between Ubuntu and Red Hat with a click.
Explore the components of a high-performance computing system, including login nodes, head nodes, storage nodes, and compute nodes, connected by high-performance interconnects and managed by a job scheduler.
Create diary.txt with nano on the desktop, edit content, save with write out, and exit with ctrl+x; use read file, whereis, search, replace, cut, paste, and undo/redo.
Learn to read, concatenate, and manipulate files using cat, tac, and rev, and to navigate output with less, head, and tail in Linux pipelines for efficient data workflows.
Learn how to create tarballs, archive files with tar (c, v, f), list and test contents, and compress with gzip or bzip2, then extract and verify results.
The lecture demonstrates using lvm to combine two hard drives into a single file system by creating partitions, physical volumes, volume group, and logical volumes mounted at mount point.
Master linux firewall rules with rich rules (rituals) to configure logging, masquerading, port forwarding, and rate limiting, and understand rule order and sample commands in zone testing.
Explore arithmetic in bash scripts by defining variables A and B, performing sum and difference with double parentheses, and echoing results.
Learn bash loops by scripting a range 1 to 10 with a for loop, employing backticks for command substitution, and building a while-based menu with input and exit handling.
Explore HPC job schedulers, including the Portable Batch System and Slurm, comparing PBS variants and open source options, and learn how these workload managers allocate computing resources on supercomputers.
Discover how to write a PBS job script as a bash script with a shebang, including resource requests like walltime, select, and mem.
Configure samba by editing smb.conf, set workgroup and netbios name, and enable the smb service; create an anonymous share with proper permissions, adjust SELinux context, and test with testparm.
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This is the first ever Linux Command Line Administration Masterclass for HPC and Scientific Computing on the Udemy platform. The 10.5+ hours of premium quality video instructions will be helpful both for the aspiring Linux and High-performance/ Scientific computing systems users, who must run applications on thousands of nodes.
WHY LINUX FOR SCIENTIFIC COMPUTING?
If you look at the current Top500 supercomputer rankings, majority out of the 500 just simply say they are running Linux and graduates from any disciplines with Linux, HPC and Scientific Computing knowledge are being paid salary over $100K on average. Linux has long provided an outstanding operating system for a wide range of users in a variety of settings. Therefore, this course is titled "Linux for HPC Systems and Supercomputing".
Students purchasing this course will receive free access to the interactive version (with Scientific code playgrounds) of this course from the Scientific Programming School. Instructions to join are given in the bonus content section. Upon successful completion, students will have the knowledge and skills to:
Use & administer Linux-based HPC systems with proficiency and confidence; and
Use Linux HPC computing and software appropriately in scientific or engineering problems.
Students purchasing this course will receive free access to the interactive version (with Scientific code playgrounds) of this course from the Scientific Programming School (SCIENTIFIC PROGRAMMING IO). Based on your earlier feedback, we are introducing a Zoom live class lecture series on this course through which we will explain different aspects of Linux command line for Data analytics. Live classes will be delivered through the Scientific Programming School, which is an interactive and advanced e-learning platform for learning scientific coding.
MONEY BACK GUARANTEE IF NOT 100% SATISFIED!
When you enroll you will get lifetime access to all of the course contents and any updates and when you complete the course 100% you will also get a Certificate of completion that you can add to your resumé/CV to show off to the world your new-found Linux & Scientific Computing Mastery! Don't forget to join our Q&A live community where you can get free help anytime from other students and the instructor. This awesome course is a component of the Learn Scientific Computing master course.
So What are you Waiting For? Click that shiny enroll button and we'll See you inside ;) FIVE STARS ⭐⭐⭐⭐⭐ 10.5+ HRS OF AWESOME VIDEOS!