Hello, sorry to put this comment here but i need help with my flask app, im trying to put my app in an Ubuntu server but im using plesk, i already followed your instructions in your video about It but It doesnt work, this is my first website so im clueless and i would really appreciate some help
The more I learn the more I realize I know nothing lol. Keep up the content. Few channels that gets me listening to tutorial videos in my spare time just for fun lol.
The more you learn, the more you can assist others, keep learning new things. A secret, replicate all the content you are trying to learn, you will understand in a more easy way.
Even if you have 20 years exp in coding, you will still have more to learn coz these things keep on evolving. The key is to know the essentials, anything else you can google. Keep safe🎉
Excellent stuff. What I particularly like about the @property is that if you start without and then refactor using @property, it doesn't break your code. You just need to prepend _ to the property and add the getter and setter.
This is an excellent video about decorators, I never created my own data classes with methods, but I do use the @dataclass decorator and never knew all what comes with it.
Loved the video, but with all due respect: there is an error in the Fibonacci code. For initial conditions it should be if n < 2, return 1 (not n, as it will return 0 for n=0, but fibonacci(0) should be 1)
It all depends on how you want to start the fibonacci series. Series can either start with (0,1) or (1,1) or (1,2), all of them lead to same sequence starting at different positions. And the time complexity barely changes.
I wouldn't say that using @dataclass decorator benefits in python coding. Because code generated by using exec() not cached where dataclass is using this by default. So, because of that. If there are a lot of dataclasses python programm will load slower
Why do we use decorator? @4:31 mark? We could simply write another function and call the example function from within it. Add start_time and end_time above and below the function call to example function. Thatbwould be sufficient, isnit not so?
Yes, that is sufficient _in this case_. But what if you want to time 5 functions? 20 functions? 100 functions? You can write 1 decorator and apply it to them all or write n individual functions for all of them.
and if you do have the bad habit of assigning attributes outside of dunder init, you can use the setter to flag when it happens, so you can find the inevitable bug caused by that bad habit.
May we use setter/getter in django? Probably yes? If using models can this be used? Maybe as custom validators probably? My brain just wrote this out lol but seems feasible?
what do you mean getters/setter? property and property().setter, yes, but if you're writing methods called set_radius(self, radius) or get_radius(self), then no. Never. It's not java.
omg, I was on a NASA code project and it was full of: space_craft . get_intrument() . get_sensor . get_channel() . get_shelves() . get_shelf() . get_temperature() (and setters like that!) calls, and the 1st thing I did was turn it all in to @property and dunder getattr / init magic, (they were doing bare init class with post attribute setters), oh, and they had one class per module...so they came in Monday freaking out "85% of the code base is gone!" I raised my hand and said "you're welcome". It was pretty rocky after that ;-)
I find using the recursive function in the Fibonacci algorithm totally inefficient. Even if there is an improvement in performance with cache, it is still a bad way to implement that type of algorithm.
for me, when I'm reading 545 data fields of space craft telemetry, which is a helluva dunder init. Instead I just cut and paste the attributes from an excel file into a data class and it calls for a single mouse click. Moreover, dataclass comes with "fields", which can be used to describe the fields, the LaTex formulas for them. expected ranges, alarm ranges, broke ranges, and there is an astuple functions, which can be stuck in dunder iter, possible zip with the fields, and in about 3 lines of executable code, you can flag out-of-range telemetry. Very little dynamic code, and lots of static could is much simpler and less bug prone.
Of course you’d never write a recursive Fibonacci function like that - you’d get it to return the last two numbers so you only need one recursive call.
Nice video. It enhances my belief that freshers should start with C++ or Java. Understanding the decorator, design patterns, static vs class methods, access control, and other OOP concepts makes people write better Python code. Starting with Python should only work for non-IT who need to function quickly.
You are right. I feel in school or college, people should really try to learn: C to learn how a computer actually works Java to really understand OOP, Generics, Reflection etc. And C++ to implement concepts learnt from C and Java to create performant software
decorator? More like usurper. It gets its tentacles around your function and completely takes over. And the original function is at the complete mercy of the take over, mind control of the supposed "decorator." A decorator decorates the way a soul body snatcher comes to 'accompany' your soul. Don't let them in the door, lest your function will never see the light of day, dude. Don't get fooled. Decorator is a misnomer. Call it for what it is: top to bottom inside to out infestationer.
Which programming language doesn't support access modifiers these days? Do you think a convention stops people from wrongly using the methods or properties? Besides Python also doesn't support Interfaces. I'm not sure what's all the fuss about. Even modern PHP is more standard than Python; which people advertise PHP is dead.
Python is a language for consenting adults. Not sure what you mean by not supporting interfaces, since untyped Python obviously doesn't have them, and type-annotated Python definitely has them (protocols). There are also abcs (abstract base classes) that serve a similar function _and_ are checked at runtime.
So you implement privatization schema to 'fix' the deficiency of Python in having all public attributes and methods. Also adding 'hints' to variable definitions to make up for the type-agnostic nature of the language. Next "awesome best language ever" coming soon to a computer near you!
Not really sure what you're point is. The main use case of the property abstraction of a private variable is for libraries. No reason for actual strict access control. Also type hints are mostly for runtime type checking and editors.
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Hello, sorry to put this comment here but i need help with my flask app, im trying to put my app in an Ubuntu server but im using plesk, i already followed your instructions in your video about It but It doesnt work, this is my first website so im clueless and i would really appreciate some help
The more I learn the more I realize I know nothing lol. Keep up the content. Few channels that gets me listening to tutorial videos in my spare time just for fun lol.
The more you learn, the more you can assist others, keep learning new things. A secret, replicate all the content you are trying to learn, you will understand in a more easy way.
Same here for the most part.
Even if you have 20 years exp in coding, you will still have more to learn coz these things keep on evolving. The key is to know the essentials, anything else you can google. Keep safe🎉
Excellent stuff. What I particularly like about the @property is that if you start without and then refactor using @property, it doesn't break your code. You just need to prepend _ to the property and add the getter and setter.
So excited to watch this!!
I love your content Tim. Keep it up. I have really learnt alot from you. I see as you as my role model
This is an excellent video about decorators, I never created my own data classes with methods, but I do use the @dataclass decorator and never knew all what comes with it.
Keep it up Tim! Very very high quality video.
Loved the video, but with all due respect: there is an error in the Fibonacci code. For initial conditions it should be if n < 2, return 1 (not n, as it will return 0 for n=0, but fibonacci(0) should be 1)
It all depends on how you want to start the fibonacci series. Series can either start with (0,1) or (1,1) or (1,2), all of them lead to same sequence starting at different positions. And the time complexity barely changes.
This is a great explanation of what Decorators do
15:41 how do you type/ make those lines in the comment? Super clean. Love all your videos Tim, you have a gift for teaching
very clear and concise
follow him when he was young till now
Thank you very much! Truly enlightening!
Would've been nice to see the @timer decorator with the fibonacci example
The functools cache speeding up the Fibonacci func is crazy. I know how it works but it's still crazy to see.
I wouldn't say that using @dataclass decorator benefits in python coding. Because code generated by using exec() not cached where dataclass is using this by default. So, because of that. If there are a lot of dataclasses python programm will load slower
Tech With Tim I love your informative videos!
I like functool's total_ordering decorator.
Nice can you also cover descriptors and Enums in detail they improve on dataclass.
is the dataclass decorator making impossible to use "global" variable inside a class how you showed using the classmethod decorator?
[9:02] zero is not a positive number, it is a neutral number, you should improve the ‘if’ statement, nice video 👋
Why do we use decorator? @4:31 mark? We could simply write another function and call the example function from within it. Add start_time and end_time above and below the function call to example function. Thatbwould be sufficient, isnit not so?
Yes, that is sufficient _in this case_. But what if you want to time 5 functions? 20 functions? 100 functions? You can write 1 decorator and apply it to them all or write n individual functions for all of them.
@@rupen42 @willk4481 And you can apply multiple decorators to the same function. It is clearer than chaining multiple functions.
plz make a pygame full course video
9:31 What would happen if we try to assign some value to c.diameter?
Error - no setter defined.
and if you do have the bad habit of assigning attributes outside of dunder init, you can use the setter to flag when it happens, so you can find the inevitable bug caused by that bad habit.
Thanks for the video ❤ what's the name of your theme in vs code
Monokai
Tim is da python expert. I'm afraid of pythons.
This cache decorator!
May we use setter/getter in django? Probably yes? If using models can this be used? Maybe as custom validators probably? My brain just wrote this out lol but seems feasible?
what do you mean getters/setter? property and property().setter, yes, but if you're writing methods called set_radius(self, radius) or get_radius(self), then no. Never. It's not java.
@@DrDeuteron Totally agree. I also don't touch Java, ever lol
omg, I was on a NASA code project and it was full of:
space_craft . get_intrument() . get_sensor . get_channel() . get_shelves() . get_shelf()
. get_temperature()
(and setters like that!)
calls, and the 1st thing I did was turn it all in to @property and dunder getattr / init magic, (they were doing bare init class with post attribute setters), oh, and they had one class per module...so they came in Monday freaking out "85% of the code base is gone!"
I raised my hand and said "you're welcome".
It was pretty rocky after that ;-)
@@DrDeuteron jesus lol
I find using the recursive function in the Fibonacci algorithm totally inefficient. Even if there is an improvement in performance with cache, it is still a bad way to implement that type of algorithm.
7.18 using '_' single underscore represents protected item not private, "__" this is private.
cool information
thank you
❤❤
Thank you bro
0:17 function, method or class
I'm a big fan of the Fibonacci function.
someone can give me more examples of when dataclass will be more useful than normal classes?
for me, when I'm reading 545 data fields of space craft telemetry, which is a helluva dunder init. Instead I just cut and paste the attributes from an excel file into a data class and it calls for a single mouse click. Moreover, dataclass comes with "fields", which can be used to describe the fields, the LaTex formulas for them. expected ranges, alarm ranges, broke ranges, and there is an astuple functions, which can be stuck in dunder iter, possible zip with the fields, and in about 3 lines of executable code, you can flag out-of-range telemetry. Very little dynamic code, and lots of static could is much simpler and less bug prone.
Nice video bro 😊
Thanks 😁
Just googled !r, it returns the repr in an f-string! And !s will give you dunder str. I had no idea this was a thing!
Learned something new today.
what is the theme name please?
monokai
thx,bro😁😁😁
Awsome 🎉🎉❤
Ok, we've got python decorators - but when are we getting python painters?
Of course you’d never write a recursive Fibonacci function like that - you’d get it to return the last two numbers so you only need one recursive call.
too clever.
Nice video. It enhances my belief that freshers should start with C++ or Java. Understanding the decorator, design patterns, static vs class methods, access control, and other OOP concepts makes people write better Python code. Starting with Python should only work for non-IT who need to function quickly.
You are right. I feel in school or college, people should really try to learn:
C to learn how a computer actually works
Java to really understand OOP, Generics, Reflection etc.
And C++ to implement concepts learnt from C and Java to create performant software
I think the rocket scientist that thought about how or why to create decorators were drunked sailores full time, programmers part time.
Why not just write the function to display the way you want it to? Docorators seem like extra nonsense to me.
decorator? More like usurper. It gets its tentacles around your function and completely takes over. And the original function is at the complete mercy of the take over, mind control of the supposed "decorator." A decorator decorates the way a soul body snatcher comes to 'accompany' your soul. Don't let them in the door, lest your function will never see the light of day, dude. Don't get fooled. Decorator is a misnomer. Call it for what it is: top to bottom inside to out infestationer.
Which programming language doesn't support access modifiers these days? Do you think a convention stops people from wrongly using the methods or properties? Besides Python also doesn't support Interfaces. I'm not sure what's all the fuss about. Even modern PHP is more standard than Python; which people advertise PHP is dead.
Python is a language for consenting adults. Not sure what you mean by not supporting interfaces, since untyped Python obviously doesn't have them, and type-annotated Python definitely has them (protocols). There are also abcs (abstract base classes) that serve a similar function _and_ are checked at runtime.
So you implement privatization schema to 'fix' the deficiency of Python in having all public attributes and methods. Also adding 'hints' to variable definitions to make up for the type-agnostic nature of the language. Next "awesome best language ever" coming soon to a computer near you!
Not really sure what you're point is. The main use case of the property abstraction of a private variable is for libraries. No reason for actual strict access control. Also type hints are mostly for runtime type checking and editors.
Ok i saw the same thing few days ago. So this is basically a copy.
Where did u see it?
slowprint lol
PLEASE DO NOT Use These ANKWARD FACES
can you give me your course for free and I'll pay after I get job please ?
I don't have a job
Hate this click bites
Please don’t use python