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We keep things simple because data science is anything but easy. Here we use the most basic method using the IP address to connect. Linux and macOS are similar, and on the Windows side I cover the programs: Cygwin, WinSCP and KiTTY plus what I use here called PuTTY (discussed next). I also cover advanced topics left for later, such as SSH key login, configuration files, ports, failed attempts, logging, warning pages, and tunneling.
Here we take notes in Linux nano and use some Linux commands. Our stack is also included which includes: Debian Linux, MySQL, PostgreSQL, Python for data analysis (Pandas, NumPy, SciPy) and presentation tools for user experience such as Matplotlib, HTML, CSS and JavaScript.
Useful links for this video:
https://en.wikipedia.org/wiki/Secure_Shell
https://en.wikipedia.org/wiki/Comparison_of_SSH_clients
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