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Using Conda

Creating a new environment. In this example, the environment is setup to use python 3.10

    $ conda create --name py10 python=3.10

Activating an environment

 $ conda activate py10

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Visual Studio Code Notes

Remote SSH

Add proxy details for the remote host to use when loading extensions. Details are added to the settings.json on the remote host.

"http.proxy": "proxy_url:port"

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Journalctl

On newer Linux systems, especially Fedora based, journalctl often replaces the syslog output in /var/log/messages.

Monitoring syslog

Monitor new syslog entries (similar to tail -f /var/log/messages):

journalctl -f

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PowerShell Notes

Searching/Grepping files

PowerShell equivalent of egrep:

Select-String <string>

and egrep -r:

dir -Recurse | Select-String <string>

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#ifndef _TIMESTAMP_H_
#define _TIMESTAMP_H_

static inline uint64_t timestamp_start(void)
{
	union {
		uint64_t tsc_64;
		struct {
			uint32_t lo_32;
			uint32_t hi_32;

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def mpps(gbps, size):
	return (gbps / (size * 8)) * 1000
	
def gbps(mpps, size):
	return mpps * size * 8 / 1000;
	
def pkt_size(gbps, mpps):
	return (gbps * 1000) / mpps / 8
	
##################################################

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Octave CheatSheet

GNU Octave is a high-level interpreted language, primarily intended for numerical computations.
(via GNU Octave)

Basics

• not equal ~=
• logical AND &&

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Git Cheatsheet

Fetching and Pulling

Task	Command
Fetch for later merging	git fetch [remote name]
Pull and merge	git pull [remote name]
Pull and rebase local changes on top (instead of merging)	git pull --rebase [remote name]
Clone only a subset of files	git init repo cd repo git remote add origin url git config core.sparsecheckout true echo "path/*" >> .git/info/sparse-checkout git pull --depth=1 origin master

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tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

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p = [(1,2,3), (2,4), (1,6)]
set(itertools.chain(*p))
=> {1,2,3,4,5,6}

where:
*p expands the list elements into separate arguments
itertools.chain() chains all of the individual elements of each parameter (the tuple from p in this case) into a single iterable stream.