It's time for us to talk about async/await in Python. That's a big and difficult topic but a very important one if you're working with the network.
Everything your program does belongs to one of the two classes:
+ CPU-bound tasks. This is when you do a lot of computations, and the fan of your PC makes helicopter noises. You can speed up computations with multiprocessing, which is a pain in the ass to do correctly.
+ IO-bound tasks. This is when your code does nothing except wait for a response from the outside world. It includes making all kinds of network requests (sending logs, querying a database, crawling a website), network responses (like when you have a web app), and working with files. You can speed up it using async/await syntax.
The basics are quite simple:
1. If you define a function using async def instead of just def, it will return a "coroutine" when is called instead of immediately running and calculating the result.
2. If you call inside an async function another async function with adding await before it, Python will request execution of this coroutine, switch to something else, and return the result when it is available.
3. The module asyncio contains some functions to work with async code and the scheduler that decides when to run which task.
This is a very basic overview. You can read the official asyncio documentation to learn more. In follow-up posts, we will cover most of asyncio functions, one by one.
It's time for us to talk about async/await in Python. That's a big and difficult topic but a very important one if you're working with the network.
Everything your program does belongs to one of the two classes:
+ CPU-bound tasks. This is when you do a lot of computations, and the fan of your PC makes helicopter noises. You can speed up computations with multiprocessing, which is a pain in the ass to do correctly.
+ IO-bound tasks. This is when your code does nothing except wait for a response from the outside world. It includes making all kinds of network requests (sending logs, querying a database, crawling a website), network responses (like when you have a web app), and working with files. You can speed up it using async/await syntax.
The basics are quite simple:
1. If you define a function using async def instead of just def, it will return a "coroutine" when is called instead of immediately running and calculating the result.
2. If you call inside an async function another async function with adding await before it, Python will request execution of this coroutine, switch to something else, and return the result when it is available.
3. The module asyncio contains some functions to work with async code and the scheduler that decides when to run which task.
This is a very basic overview. You can read the official asyncio documentation to learn more. In follow-up posts, we will cover most of asyncio functions, one by one.
BY Python etc
Warning: Undefined variable $i in /var/www/tg-me/post.php on line 280
Secure video calling is in high demand. As an alternative to Zoom, many people are using end-to-end encrypted apps such as WhatsApp, FaceTime or Signal to speak to friends and family face-to-face since coronavirus lockdowns started to take place across the world. There’s another option—secure communications app Telegram just added video calling to its feature set, available on both iOS and Android. The new feature is also super secure—like Signal and WhatsApp and unlike Zoom (yet), video calls will be end-to-end encrypted.
Should You Buy Bitcoin?
In general, many financial experts support their clients’ desire to buy cryptocurrency, but they don’t recommend it unless clients express interest. “The biggest concern for us is if someone wants to invest in crypto and the investment they choose doesn’t do well, and then all of a sudden they can’t send their kids to college,” says Ian Harvey, a certified financial planner (CFP) in New York City. “Then it wasn’t worth the risk.” The speculative nature of cryptocurrency leads some planners to recommend it for clients’ “side” investments. “Some call it a Vegas account,” says Scott Hammel, a CFP in Dallas. “Let’s keep this away from our real long-term perspective, make sure it doesn’t become too large a portion of your portfolio.” In a very real sense, Bitcoin is like a single stock, and advisors wouldn’t recommend putting a sizable part of your portfolio into any one company. At most, planners suggest putting no more than 1% to 10% into Bitcoin if you’re passionate about it. “If it was one stock, you would never allocate any significant portion of your portfolio to it,” Hammel says.
