Decorators in Python || Python Tutorial || Learn Python Programming

[@Socratica]

Socratica Friends, we have a quiet little email group for Python if you'd like to receive updates. Sign up here: bit.ly/PythonGroup

[@wjrasmussen666]

I am glad that she is doing more videos.

[@TheCritic108]

Nunu chus le aa

[@AlokTP]

You are really good at teaching. Your videos are fun. The tongue in cheek humour("birds" & in background) is hysterical. The production quality is phenomenal. Impressive. Keep up the good work.

[@ellupoit]

broken link

[@cocoatea57]

@@Socratica page doesn't open

[@anthonymunnelly20]

I’ve been working with Python for over ten years and I have never seen decorators explained so well or so succinctly as here. Really outstanding work. Outstanding.

[@WaldoTheWombat]

I agree, though she lost me at 8:02

[@olivierbegassat851]

This series just keeps on giving, always fun, to the point and beginner friendly. I love your work 🙂

[@kayakMike1000]

Decorators are pretty cool. I love to use em. You can even use decorators to sorta register a function with a class that defines a callable, it contains the __call__ magic method. This is how that Flask package works.

[@fvazquez64]

Love that Talking Heads "Once in a life time" reference... Thanks Socratica, you're something else...

[@MrPeppo65]

🙂where is my beatiful wife?

[@JozuaSijsling]

I'm a seasoned programmer but never touch Python. I love this video. The underlying pattern of decorators is universal and this video does a great job explaining it.

[@yash1152]

0:00 Motivation 0:19 Introduction 0:42 Syntax & Types 1:06 Impellation ---------- 1:50 Functions: First Class Citizen 2:34 Functions: Nested Definitions 3:04 Segue 3:29 Timer: Manual with timeit.timeit or time.perf_counter 4:00 Timer: Wrapper Function (with *s and **s) 5:35 Timer: Decorator Syntactic Sugar ---------- 6:04 Review (with *s and **s) 6:50 functools Module 7:02 cache Decorator 7:52 wrapper Decorator 8:12 Parametric Decorator 8:35 Memoization on Fibonacci ---------- 10:11 Review & Conclusion 10:40 Outro

[@JordanWyk]

Thanks bro

[@ragtop63]

I've only ever had to use a Python decorator to explicitly tag a class method as a property getter or setter. So the "less common" implementation noted in this video is my most common implementation.

[@quintencabo]

I think she meant actually creating new method decorators

[@practicalbong1497]

This is amazing following your content for the last 3 years Now I'm a middle level backend developer

[@goranjosic]

Python programming is FUN!! When I code something in javascript, I remember how much I LOVE Python - the readability of the code is INCOMPARABLY better. I sometimes struggle to read my javascript code from a few months ago, while with python I don't have that problem, no matter how big is the project. It's just a shame that Python is so slow, often for everything but hobby projects where speed is not important. Regardless, I will always love Python and he will always be a part of my hobby projects! ❤😄

[@borispsalman]

Some people suggest using Cython if speed is the concern, also i think Numpy is written in C such as other libraries that require fast computation. Python is generally used as a glue language where you maximize the advantages of python and only call functions written in faster languages.

[@philippfrogel9355]

max level teaching, answers the right questions at the right time, and yet is entertaining on top, just wow!

[@ow7398]

I've just found your channel and love it. It's been so helpful to learn python as a beginner, and your examples are very clear and your dry humour is very enjoyable. Can you please explain what *arg and **kwarg means (or point me to a video of yours that explains it)? I've clearly missed this step in my learning process. EDIT: you explained it later in the video. serves me right for commenting midway through. Thanks!!

[@hectorherrera4193]

Finally I understand decorators. Thanks for sharing!!

[@nomeshwersharma2570]

Thanks for your amazing python tutorial. I am not a python developer but still watch your videos for the way you deliver these.

[@cavelinguam6444]

I really love this channel. Has been a good companion for years.

[@Socratica]

We're so glad you're with us, Socratica Friend!! 💜🦉

[@Wokoman1]

Once in a lifetime content 😊

[@cyndicorinne]

6:00 love it 💜 Best line yet: “That syntactic sugar is definitely sweet.”

[@kingofcastlechaos]

I am new to Python and enjoyed the video, but I'm not quite ready for this. Looking forward to watching it again when I have a better grasp of the basics. Excited to see there are new videos being created. Thank you for your hard work Socratica team!!

[@omarcruz6326]

These Socratica Python videos are great ! 👍 Keep the excellent work 💪

[@Socratica]

You are so kind, thank you for your encouraging words!! 💜🦉

[@Cynthia_Cantrell]

+12 happiness points for the Talking Heads reference.

[@amoorinet..]

I am totally certain that, none of us will not find a channel on KZbin that let them get the python programming concepts in complete way except this channel, my advice for beginner writes down each code each word had been said in this channel. Really, I have been fall in love this channel..❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤

[@Socratica]

You are too kind, Socratica Friend!! We're so happy you've found us. 💜🦉

[@serta5727]

It’s super high quality and I would recommend this to anyone

[@AlDamara-x8j]

It is great she is back! I'm looking forward to more up to date videos.

[@hankblack783]

Great video as always ... and it helps to be a Talking Heads fan to get the ending of the video.

[@GarimellaProduction]

This is amazing content ! Really simplifies decorators .

[@vikranttyagiRN]

These videos are a work of art.

[@cyndicorinne]

This is awesome. 💜 Concise on the why and the how of decorators!

[@other8094]

I already new all this but watched it because I love this series, great ending too.

[@cricketknowledge2412]

I'am from india ❤❤❤ it is very interesting and helpfull

[@williamjordan9237]

Thank you for the video and channel. Your hard work is appreciated. Im learning for the first time!

[@skilz8098]

Pure Native Python is considered slow compared to many other languages that are compiled as opposed to being interpreted. Yet the versatility of the Python language to produce working code faster is quite valuable. When working with some code bases that run quite slow on large data sets with repetitive calculations, or in code sections that are considered critical sections or potential bottlenecks, I know that there exists a library module that can be imported to invoke the code to be precompiled kind of like other languages JIT compilers. I just don't remember the name of the import module. Just as important; demonstrating how to use vector intrinsics within Python I think the two of these would make for an excellent resource videos as they could be proven to generate even faster running code within various situations compared to many already existing commonly used library modules. Again, it's great to see that you're back with another excellent Python video and this is coming from someone who works more with C/C++ and a little bit of Assembly.

[@robboerman9378]

“We still had to write throw-away code. That increases my sadness level to 2.9”. Love the super dry computer humor 😂❤

[@lazadaunboxing2225]

I am very happy I found this channel! Thank you very much!

[@Gouphster]

I would give more thumbs up to this video if I could. I'm so glad to see another video in this series.

[@Phateau]

Thanks for making cool python material again!

[@fullstackspiderman]

yay welcome back after years..

[@Trucmuch]

This explanation is really once in a lifetime

[@LearningCalculus]

You are the best explainer.

[@yash1152]

3:47 > _"time.time()"_ Do NOT use the time.time() for measuring time took in execution. time.time() returns current system time, which is not guaranteed to return precise time. *Update:* use timeit.timeit instead. it has number argument builtin to perform repetitions See a thu vu video Use time.perf_counter() or time.perf_counter_ns() instead. Refer the web page of "docs python library time". See the video "25 nooby Python habits you need to ditch" by mCoding at video id v as qUeud6DvOWI with time t starting 5m33s

[@moeal5110]

This is how I imagine Vulcan women look like and think. FYI referring to original series ❤❤❤ you are "fascinating" person. love your style

[@dalpyma8791]

Thanks for this video. I am currently learning python (v3) and this taught me a lot.

[@thefireagen]

Look who back! Welcome

[@serta5727]

I love your informative tutorials. They are awesome ❤

[@raviv5109]

Missed you! As usual simply amazing !

[@ryuk_shinigami]

After a long time again on this channel. You are uploading new videos ❤

[@IgorKuts]

This is pure gold.

[@Zvend]

god i love your humor! You re the reason why i always go back to python, cause its so much fun but then have to go back to my C++ again 😅

[@roberthildebrand1780]

Awesome! Can you give more examples of dynamic programming using the @cache decorator?

[@my_graphics]

Its amazing. Its revolutionary.

[@darkesco]

These videos are very entertaining!

[@basilcharleston8793]

Fantastic presentation of the concept

[@eschudy]

Love the recursion. Talking head quoting the talking heads. Can you recurse again?

[@betterstack]

Love the Python series 🔥If anyone’s looking for more Python tutorials, we’ve released Loguru logging, task scheduling, and more to help the community too 💪

[@alexbalak7558]

Always a pleasure to learn new things with you ! Je vous aime ❤

[@lxathu]

Not the first video I've seen on this issue but the first one that clarifies the emerging questions right before they could be distractive.

[@palmwaytech]

For some positive reason , during coding and doing python, it does make your brain think and make you think / focus better. You have to know what is going on , how the numbers and equation , what is it doing to get the results . If i could just do python entirely , that would be nice.

[@julzbuzz7243]

She's back

[@EvilGenius2909]

Love the style of your channel it's awesome!

[@BrianStDenis-pj1tq]

Love Socratica.

[@zeffdronin6422]

hi im new to ur channel. i love this format. like its code that i can listen to while driving or sleeping. i appreciate the emphasis on explanation

[@Socratica]

We're so glad you've found us!! 💜🦉

[@bastabey2652]

a very unusual and engaging presentation...thank you

[@ApprendreSansNecessite]

4:02 yes, exactly, and now you have the exact same problem with your decorator. You show higher order functions, which is a totally valid approach, and then you go back to where you started. The problem you have with the fibonacci function here 9:24 is also quite funny because you end up creating a new function for testing, which is what you should have done from the start, and your decorator syntax is more syntactically heavy than simply passing you fibonacci function to your timer function. A pragmatic person would add their timing logic to their *test* before and after they *invoke* the function being tested, not in the function body. They would also be advised to keep their test in an automated test suite. By using decorators to test functions, you make the test logic depend on the decorator, which means it cannot be automated because you need to manually instrument your function with the decorator each time you run your test. I understand that the purpose of this video is to teach decorators, not design principles or testing, but you could have used a different example. You have a responsibility. This is the kind of video that confuses learners and leads them astray.

[@emman100]

Interesting. That is a fair assessment.

[@tsalVlog]

The point of the fibonacci explanation seemed to be exactly what you're saying, though? To walk the viewer through the problems to get the better solution? Teaching blind rote is how you get terrible software developers. Teaching how to find the problem and solve it will get us wonderful software developers. I'm not sure what you mean by "normal person" here, because if I were hiring a developer (I am one), I would hire the one who knew how to solve problems without having all of the information -- instead of the one who had all of the information memorized, I don't care how many of the patterns they can name from That Book. It's a bit condescending to speak of folks who are self-teaching in this manner. I'm not sure you meant that, as it's clear your intention is to improve the content, but in a way you're insulting the very audience who is enjoying and learning. We're not here for design principals or algorithm critique; this isn't that channel. We're here to learn basics and help others learn them as well. If you think of this series as helping teach people how to _learn how to program, using python as the teaching language_ and not "how to python", you might see what I mean?

[@ApprendreSansNecessite]

@@tsalVlog I think you are very generous in your interpretation of the video. The trope you are referring to is actually used to present a bad practice as an improvement. Nowhere is it said that this use of decorators shows poor separation of concerns, to the contrary, this fact is completely obscured, and the comical over-engineering of global_fibonacci is not addressed. I want to stress again that I know this is not a video about good design, but it is teaching a terrible approach to programming, which is to substitute good design with tools: instead of teaching that the testing logic should be moved to the testing code, you are taught a powerful way to couple the testing logic with the implementation. This is totally backwards. I have a difficult time in my job explaining to people that, just because they have a powerful testing library at they disposal for example, it does not mean they can butcher the architecture. I am forced to deal with the aftermath of this way of teaching. I am also self-taught, and you have no idea the amount of time I have wasted because of poor quality learning material. I wish I could rewind time, start over and take different decisions. Socratica obviously put a lot of effort in the production of this video, and they seem to be a reliable source, so it strikes me as odd that the issues I mentionned were overlooked. Teaching is not about making you aware of new information. It is about changing the structure of your brain. The problem when you learn the wrong thing is that you identify the wrong thing as the "right way", and since you want to be a good developer, you identify with this "right way" and you resist change when you are exposed to a different opinion or practice. I especially face this issue with people who just graduated, since self-taught people are usually more anxious about having holes in their training and are more humble as a result, but it can still happen. I am not sure I understand what you meant about hiring. I totally agree with you and it was certainly not my intention to be insulting. I apologise. You got triggered by "a normal person" and I now understand how it could have been misinterpreted. I guess I should have said "pragmatic" or something. By the way if you have suggestions for improving my original comment, I will consider them.

[@ryanchung4146]

Thank you, well explained and informative!

[@Torresmos]

Always good the see another video from this series.

[@TheVVSLink]

I love your videos you are helping me through my classes!

[@Socratica]

This is so great to hear!! 💜🦉

[@ZzZ-qd1zo]

This is a great video! This may be dumb, but why does the timer function need wrapper function nested inside of it? Can't a single function give the same results?

[@SeanBlantonPhD]

i assume y'all know to use time.perf_counter or time.process_time to measure time intervals in the real world instead of time.time...the demo is better using time.time and getting 0's, I agree. Also LOVE the Talking Heads reference!!!

[@blucenere]

I love this series and she is great!

[@blucenere]

PS loved the rabbits in the background during the Fibonacci sequence

[@serta5727]

This is very cool, probably how Neo learned to be the one in coding the matrix. 🤓🤖

[@jagadishgospat2548]

Good one guys, keep em comin.

[@enockoloo3814]

At 5:05 the inner returned "wrapper" should take actual param values --> e.g wrapper(x,y)

[@dydx3741]

# step 2 def professional_cake_decorator(plain_cake_func): def modified_cake(): print("Yeah!! i got the plain cake!") print("Addding some magic...making the plain cake more beautiful") print("Adding some delicious toppings....") plain_cake_func() print("Yes....i'm professional cake Decorator...and i made you more beautiful and delicious") print("Cake is ready!") return modified_cake # step 1 def plain_cake(): print("I'm just normal plain cake...I'm gonna be more beautiful and delicious someday!!") # step 3 @professional_cake_decorator def bake_cake(): plain_cake() # step 4 if __name__ == "__main__": bake_cake()

[@DeenQuery]

Excellent job with explaining the concept and giving examples. It may be beneficial to do a video about Python Multithreading and Multiprocessing.

[@anc5430]

Great work ! By the way, I like your VS code theme. which one is it ?

[@edbaxls]

Another great video!!!

[@BitCloud047]

I love you and your videos!!

[@janaramon1232]

Please keep uploading more python videos, eg , file handling,web scrapping using beautiful soup etc.

[@rockNbrain]

Great job as always

[@derickd6150]

Hi there! I love your content and have for years. There is one thing that I have always wanted to know though, could you tell us where you got this epic shirt/dress? I really really want one!

[@thomassaook7787]

Is there any link for manuals about decorators?

[@williamscaramuzzi]

The tone of the speech is very good, it sounds almost like GlaDOS hahahaha

[@ArcDevJourney]

I remember a sentence that my teacher in OpenOffice format told us when I was at university: "In IT, if you are doing the same thing more than 3 times, then there is a better way to do it."

[@giovannateodoro3724]

This is beautiful

[@steveq34]

Best video!

[@EnglishRain]

Please come back! We miss you!

[@ChristopherBruns-o7o]

Like command substitution?

[@dumisaniarchanjelmoyo7721]

Amazing 🔥🔥🔥

[@murphygreen8484]

Is perf_counter more accurate than time?

[@stearin1978]

11:27 - what was not clear for me: here we CALL the function timer with ( ). But according to definition of timer it RETURN wrapper (doesn't call it!). So we are writing here sort of : primer_factorization_timer = wrapper() calling the function timer returns.

[@AARHEAD191]

Immediate subscribe from me. Very informative, very entertaining aesthetic, and also funny.

[@nidhalkarchoud346]

i love you socratica lady

[@joeldrennen]

wait a minute howd you type the triangle symbol in there?

[@lokmanturkmen8964]

which editor they are using on this video?

[@Socratica]

We use Visual Studio Code in Zen Mode. 🧘‍♀️

[@AliMohammedBakhietIssa]

Thank you.

[@codeispoetry]

awesome

[@internetlenta7349]

Socrática in portuguese?

[@BodySnatchers-v5f]

what the feature is she functioning about!?

[@thatomofolo452]

Wow 😲😲😲

[@PhysicsLK]

thank youuu

[@goldies6702]

It's like playing a video game

[@pythonismyvice-fo5bz]

Wait, what is that truth bomb at the end? I write the same code over and over, but every time it gets shorter and shorter.