Saúl Sondón saulin18

Array

Keeping up with python

Python is one of the tools in my toolbox, so I never used it exclusively. This means i need to get an update, occasionally.

Rant mode on

They want to have an expressive language, so they keep adding features upon features to it, instead of caring too much about performance (which means that no JIT - just-in-time compiler - has been added to cpython).

I would have thought that typescript is gaining over python on github, because node.js is JIT based, unlike cpython, but that guess was wrong: github article. The github article suggests a different reason:

Job hunting tips

/More Eitzes from me, 'Eitzes is billik' - advice comes cheap.../

This gist is my experience. In general: do not trust such advice. Somehow the market tends to change every few years, always be aware of that possibility and be on the look-out.

Kinds of companies to work for

You can work for a big established company or for a startup. With more advanced companies you have a less stressed environment / and a more steady job, kind of.

learning queuing theory basics

Bikey Bonn Kleiford Seranilla - Queuing Theory

Liz Thompson - Queueing theory (simple)

SREcon24 Americas - System Performance and Queuing Theory - Concepts and Application

Hello software developers,

Please check your code to ensure you're not making one of the following mistakes related to cryptography.

I. General Mistakes

Writing your own home-grown cryptography primitives (For example: Mifare Classic)
- Exception: For the sake of learning, but don't deploy it in production.
Using a fast hash function (e.g. MD5, SHA256) for storing passwords. Use bcrypt instead.
Not using a cryptographically secure random number generator

Python testing reference

This document is a reference for common testing patterns in a Django/Python project using Pytest.

Contents:

Set-up and tear-down

Complete Guide to Pytest: From Basics to Advanced

Pytest is a powerful Python testing framework that is widely used for unit testing, integration testing, and functional testing. This guide will take you step by step from basic to advanced features of Pytest, providing a comprehensive understanding of its capabilities.

INTRO

Concurrency is a domain I have wanted to explore for a long time because the locks and the race conditions have always intimidated me. I recall somebody suggesting concurrency patterns in golang because they said "you share the data and not the variables".

Amused by that, I searched for "concurrency in golang" and bumped into this awesome slide by Rob Pike: https://talks.golang.org/2012/waza.slide#1 which does a great job of explaining channels, concurrency patterns and a mini-architecture of load-balancer (also explains the above one-liner).

Let's dig in:

	-- show running queries (pre 9.2)
	SELECT procpid, age(clock_timestamp(), query_start), usename, current_query
	FROM pg_stat_activity
	WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%'
	ORDER BY query_start desc;

	-- show running queries (9.2)
	SELECT pid, age(clock_timestamp(), query_start), usename, query
	FROM pg_stat_activity
	WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%'

	from alembic import config
	from alembic import script
	from alembic.runtime import migration
	import sqlalchemy

	import exceptions


	engine = sqlalchemy.create_engine(DATABASE_URL)
	alembic_cfg = config.Config('alembic.ini')