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2021-04-14 23:49:07
30-Day Money-Back Guarantee
IT & Software Operating Systems Linux Command Line

Linux for Scientific Computing Masterclass - 10.5 Hours

Linux Command Line Masterclass for Bash Shell Scripting, HPC Job-schedulers, PBS Pro, Slurm and Bright Cluster Manager
Hot & New
Rating: 4.4 out of 54.4 (41 ratings)
16,031 students
Created by Scientific Programmer™, Scientific Programming School
Last updated 4/2021
English
30-Day Money-Back Guarantee

What you'll learn

  • Linux command line for HPC and Supercomputing
  • Sysadmin for Supercomputing
  • Job schedulers and batch systems (Slurm and PBS Pro)
  • Scientific computing with virtualisation
  • Supercomputing software stack
  • Linux Scripting- Bash, REGEX, AWK, SED, GREP
  • Linux Storage Management
  • Linux Networking - Bonding, Teaming, NTP configurations

Requirements

  • Access to a computer system for virtualisation

Description

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!

Who this course is for:

  • Students, researchers and programmers from any discipline

Course content

10 sections • 76 lectures • 10h 45m total length

  • Preview00:58
  • Preview01:11
  • Preview00:29
  • Preview00:36
  • Preview05:05
  • Benefits of using a HPC system
    04:47
  • Preview03:05
  • Preview02:13
  • Setup a HPC system with virtual machines
    05:18
  • Access to HPC
    02:52
  • Data Transfer
    01:10

  • Linux commands
    20:14
  • Redirection
    23:56
  • Piping
    25:09
  • Aliases
    11:49
  • Folders and files
    17:49
  • Wild-cards
    13:37
  • Delete
    19:17
  • Copy and move
    11:03
  • Edit files
    19:48
  • Locate
    13:41
  • Find
    41:14
  • View
    20:11
  • Sort
    16:34
  • Search
    13:58
  • Archive
    19:18
  • Cron jobs
    21:31
  • Preview00:00

  • Software compilation
    14:02
  • Repository
    11:43
  • Software cache
    15:42
  • Install software
    17:23
  • Software modules
    02:07
  • Software module load
    02:52
  • HPC software list
    00:33

  • Preview04:29
  • Implementation
    07:26

  • Bonding
    21:08
  • Teaming
    17:10
  • Network time - NTP
    23:54
  • IP Setup - IPv6
    09:06
  • Firewall
    38:39
  • Firewall - rules
    24:39

  • Preview00:59
  • Hello World!
    03:57
  • Bash variables and functions
    01:29
  • Bash auguments
    00:14
  • Variables
    01:55
  • Quotes
    00:39
  • Read input
    00:08
  • Arithmatics
    02:14
  • Conditionals
    13:53
  • Bash Loops
    01:28
  • Loops
    11:31
  • Functions
    06:50
  • Bash arrays
    00:31
  • Scriping Example
    06:17

  • BRE - REGEX
    00:54
  • ERE - REGEX
    00:22
  • Class -REGEX
    00:15
  • REGEX - Shell Scripting
    00:22
  • AWK
    01:22
  • SED
    01:16
  • Grep
    00:48

  • HPC Jobs
    02:33
  • HPC Job Schedulers
    01:38
  • Slurm Commands
    02:45
  • Preview02:47
  • Preview01:44
  • PBS Script - Example
    01:47

  • MariaDB
    09:39
  • Samba
    13:11

  • Preview01:09
  • Interactive playgrounds
    00:20
  • Data centre tour
    02:03
  • Interactive Shell Demo
    01:06

Instructors

Scientific Programmer™
ScientificProgrammer.me | Instructor Team
Scientific Programmer™
  • 4.2 Instructor Rating
  • 619 Reviews
  • 43,011 Students
  • 12 Courses

The Scientific Programming Instructor Team helps you to learn the use of scientific programming languages, such as CUDA, Julia, OpenMP, MPI, C++, Matlab, Octave, Bash, Python Sed and AWK including RegEx in processing scientific and real-world data.  The teamed is formed by PhD educated instructors in the areas of Computational Sciences.

Scientific programming is a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems. 

Scientific Programming School
scientificprogramming.io | Interactive Learning Platform
Scientific Programming School
  • 4.2 Instructor Rating
  • 619 Reviews
  • 43,011 Students
  • 12 Courses

The Scientific Programming School, with 40,000+ students is an awesome e-education start-up initiative to provide professional training and practice courses for Scientific Coding, Linux,  and Big Data. It is also an interactive and advanced e-learning platform that gives you the opportunity to run scientific codes/ OS commands as you learn with playgrounds and Interactive shells inside your browser. Scientific Programming Instructors specialize on Linux, Devops, HPC and Data Science coding with scientific programming. Currently we support three OS (Ubuntu, RHEL and SuSE) and 50+ programming languages including the commercial ones like Matlab. At the Scientific Programming School you start learning immediately instead of fiddling with OS, VMs, SDKs and/ IDEs setups. It‘s all setup with Docker on the cloud.

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