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It's the person who is responsible for the technical quality of the project. For example, the Team agrees to adhere to a particular level of quality (e.g no linter errors, no failing tests, naming conventions, Git branching model, release cycles, modular structure, software design practices and principles). The Tech Lead is the person who detects violations of our quality policy, communicates it to team members, and explains what should be improved.
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Tech Lead has a high-level vision of the project architecture, and also aware of low-level details and nuances, by being involved in everyday development activities.
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Tech lead spends 80% of his time in development activities. Otherwise, he will lose the technical feeling of the project, and become a "Сферический конь в вакууме". In the same way, Tech Lead is not limited only to tech debt or infrastructure-related tasks, he works on regular product
bind -T root F12 \ | |
set prefix None \;\ | |
set key-table off \;\ | |
set status-style "fg=$color_status_text,bg=$color_window_off_status_bg" \;\ | |
set window-status-current-format "#[fg=$color_window_off_status_bg,bg=$color_window_off_status_current_bg]$separator_powerline_right#[default] #I:#W# #[fg=$color_window_off_status_current_bg,bg=$color_window_off_status_bg]$separator_powerline_right#[default]" \;\ | |
set window-status-current-style "fg=$color_dark,bold,bg=$color_window_off_status_current_bg" \;\ | |
if -F '#{pane_in_mode}' 'send-keys -X cancel' \;\ | |
refresh-client -S \;\ | |
bind -T off F12 \ |
Postman | API Development Environment https://www.getpostman.com
Insomnia REST Client - https://insomnia.rest/
Features | Insomnia | Postman | Notes |
---|---|---|---|
Create and send HTTP requests | x | x | |
Authorization header helpers | x | x | Can create "Authorization" header for you for different authentication schemes: Basic, Digest, OAuth, Bearer Token, HAWK, AWS |
In plain text protocols, the bit stream is organised as a sequence of characters or text strings, e.g. Unicode or ASCII. So the two computers are exchanging textual messages.
Example: number 20020
is represented by five characters (5 bytes).
Pros and cons:
- interoperability between multiple platforms and runtimes that adhere to open and well-known standards: JSON, XML.
- results in larger size messages
- can be easily, inspected, read, debugged
this.obs = createFrom(async function *() { | |
await delay(1000); | |
yield 1; | |
yield 2; | |
await delay(500); | |
await delay(300); | |
yield 3; | |
await delay(400); | |
yield 4; | |
yield 5; |
#!/bin/bash | |
text=$(cat -) | |
request="{ | |
'input':{ | |
'ssml':'<speak>$text</speak>' | |
}, | |
'voice':{ | |
'languageCode':'en-gb', | |
'name':'en-GB-Wavenet-D', |
import { io } from 'socket.io-client'; | |
import * as SentrySDK from '@sentry/react'; | |
import { | |
call, | |
fork, | |
takeEvery, | |
put, | |
race, | |
take, | |
} from 'redux-saga/effects'; |
/* | |
=================== | |
INDEX PROPERTIES | |
=================== | |
*/ | |
/* | |
NOTE: In this example, we explore "hash" index properties using PostgreSQL system catalog tables | |
*/ |
Interpreted: Python is an interpreted language, which means that the source code is translated and executed line-by-line at runtime, rather than being compiled to machine code beforehand.
Dynamic type system: Python uses a dynamic type system, which means that variable types are determined at runtime and can change during the execution of a program.
Garbage-collected: Python automatically manages memory allocation and deallocation using garbage collection, which frees developers from having to manually manage memory in their code.
Indentation-based syntax: Python uses indentation to define code blocks, making the code more readable and less cluttered with braces or other delimiters.