Video

Instead of going thru all that hassle, perhaps we can use threading, and threading.join() function

Awesome library, however, it doesn't help alot with web scrapping, especially when you have to deal with pop ups, and figuring out the exact cordinates for cookies and other pop ups doesn't help, but selenium.web driver does help, especially the library takes a span of internet activity i suppose and turns it to code to run

perhaps we can also use append function as i.append("new") for i in itemList)

would appreciate if you could advise how to modify the script if i would like to stop/break the loop at min sec rather than sec. thanks in advance.

hey pal, nice vid, but what's the use of going into so much trouble when we can just create two different functions, or does this 'multiprocessing' has any specific use?

"I use debian" -arch user

Cool, do more PHP and Laravel courses. I don't see many covering PHP Algorithms and Data Structures -> PHP DSA.

this are little tweaks of the language who seem to serve no purpose, they only make things difficult and complicated, lets create a system that does the same thing than the other system, but differently and harder to comprehand ! yea ! the Perk class !

The other day I had to download 156 image files by way of URLs. I brought up Python. Done in a few minutes. And now I have a homegrown tool to use if I ever need to do it again. I’m sure glad I learned Python. RegEx and SQL, too.

Ur channel is really underrated

Who else did not understand this??

That's very cool ty

Very clever on zooming the code, that was a great detail Question: Is it recomended to use this comprehension? i mean it kinda affects readability but, what are good uses for it?

You do know addr stands for address? It’s weird you didn’t refer to it as address

Thanks for your small extremely educational videos. Keep up the great work Taylor.

omg you use arch !?

It's normally recommended to create a virtual environment with .venv. For example: python -m venv .venv. This way, the shared environment is invisible and better. great work!!!

Awesome video, thanks Taylor!

I am unable to get Visual Code Studio to perform Python functions. I notice he is using VCS. Makes me go "hmm..."

day 2 of asking concurrency (nah I wont stop)

Thanks, that was very informative.

Best explanation yet - Dunno why anyone would not use PyCharm though to make things even simpler.. I can miss out all the virtual environment stuff and just install the tool.

How much data does it takes on the disk

Nice clear demo. Thank you. Liked and subscribed.

Bruhh just said function of dunger method check of main and os.getcwd() is a method...bruhh😅

👏👏👏👏

also concurrency but a deep video because guess what the parser problems I got ain't gonna solve themselves

thanks for saying which İDE you use (no I cant be bothered to delete the comment where I asked the İDE of yours)

just wanderin' which İDE is this

Thank you for the video I've had problems with pyinstaller, you helped me find where I going wrong. Thanks again for the great video cheers🍺🍺🍺

Since I've always been warned against "while True" loops, you could make the "while" parameter dependent on the time: while format_time != stop_time: continue print("The times matched") I'm not sure how much memory it takes to look up the time continuously, but since you're only checking the time to the second: from time import sleep while format_time != stop_time: sleep(1) print("The times matched")

Very nice thanks

Nice vid, have a sub. As a noob at python id really appreciate a vid on turning .py into an .exe for general python projects and tkinter based stuff if different. Hint hint 😊

TYSM, bro!

Love the simplicity of your explanations.

Good video, thanks. My code: import pandas as pd csv_file = pd.read_csv('sleep_health.csv') print(csv_file)

what about memory usage with this option?

This is a very misleading tutorial, using threads in python to speed up your program is a lot more complicated than this tutorial pretends (test it for yourself, copy this program and test how long it takes to count to 1000, then add a second thread to the program that also counts to 1000 and time how long that takes, I did that and it took twice as long) When writing multi-threaded programs it is usually very important to make sure that two different threads can't work with the same variables at once (because this can cause nasty bugs) This is not necessary in Python though, because it has the Global Interpreter Lock (GIL for short), which only lets one one thread have access at the same time, preventing such bugs The downside of the GIL is that different threads will be waiting for the GIL to let them do their thing, so your program does not get any faster. There are ways in which your program can be sped up using threads, because not all operations are limited by the GIL (the numpy library for number crunching for example is mostly not affected). Threads can also be useful for handling things that would otherwise block your program (like something big being downloaded from the internet, if a separate thread handles that the entire program won't freeze up until that is done). So while threading is not useless this tutorial does not show the benefits or how to use it well at all TL;DR using threads in Python does not make your program faster in most cases and it takes a more in depth tutorial to explain when it actually does and why it does that

Very insightful…

ty for the valuable information.

Good video. You have one mistake in your code. At 3:20 you should have used "return orig_func(x,y)".

Instead of using specific decorators for only one function/method. Everyone should use wraps from functools. To keep the arguments/parameters as generic. With this, you don't modify __doc__ or __name__, from the method itself. Try your method, and print(__name__), you'll see you lost information about the function itself. from functools import wraps def decor(orig_func): @wraps(orig_func) def wrapper(*args, **kwargs): ... orig_func() return wrapper

thank you for share but where is the result of 1+7?

3:18 lul, it's 2024, and Python STILL can't into string interpolation that doesn't make you throw up?

As always, well stated and well paced. Thank you!

agree... good video

import argparse

bro speaks in 0.75x speed (nice tutorial tho)

Loved the presentation ... very clear. Also could use : itemArr = [ f'item{n}' for n in range(3) ] to avoid the str cast

Great video!