In Python 3.9.0 or greater we can merge dictionaries using `|`: d1 = {"name": "Alex", "age": 25} d2 = {"name": "Alex", "city": "New York"} merged_dict = d1 | d2
Is there an easy (and fast for large dictionaries) way to merge dictionaries in a way, that it includes every value of both dicts with the same key? for example, if d2 would include "name": "Luca" instead of "Alex", i would like the merged output to be like: {"name": ["Alex", "Luca"], "age": 25, "city": "New York"}
0:20 Iterate with Enumerate x For Loops with If 1:02 List Comprehension x For Loops 1:51 Sort iterables with sorted() 3:00 Unique values with Sets 3:37 Generators replacement for Lists 4:58 default values for dictionary keys 6:06 Count objects with collections.Counter 7:39 f-Strings > str.format() 8:20 Build up strings with .join() 9:27 merge dictionaries - This feature is updated again in 3.9 using | 10:00 simplify if statements
@@patloeber This is a very nice video for quick reference on these coding best practices. Can you please copy this list of times to the video Description for future reference. That makes the vid hugely helpful for in future.
@@sshishov True, but if you want to check membership, say, n times, than its O(n) vs. O(n**2). It depends on the problem which data structure is better, as your second comment shows. But if you are only worried about runtime, then @Evan Hagen is correct: you basically cannot lose by using a set (I mean even if you have to convert first), because if you run it once, it is the same runtime, but if you do it many times, then set is the better choice.
Your videos are by far the most concise and easiest to assimilate compared to every other YT Python teacher (to me). Thanks for taking the time. Good stuff
That is absolutely golden video. Extremaly useful tricks that will make your life way much easier. I've already used 10 out of 11 but still it's nice refresher.
dude, I've been doing a programming course 12 weeks, I feel like f-strings are something we should have been taught immediately, why am I only learning it through you
If you aren't speeding up your videos during your scripting then you are a REALLY FAST typer, like holy crap. IDK how you can type those lists in under a second, that is crazy to me.
I'm amazed at how there are beginner programmers, who never read basic tutorial in official documentation, and then watch similar videos, thinking they are learning advanced concepts.
The Squares example.. here's Python code: squares = [i*i for i in range(15)] print(squares) Here's the R code: x = 1:14; x^2 Python 48 characters, 2 lines R 13 characters, 1 line Advantage: R.
The idea of list comprehensions was new to me, but I was curious if there was an option for dictionary comprehensions and, sure enough, there is! Was able to clean up a lot of my dictionary for loops. Thanks!
An alternative of TIP 10: if you have two dictionaries you can join them using | operator. d1={'one' : 1, 'two':2} d2={'three':3} d3=d1|d2 print(d3) output: {'one': 1, 'two': 2, 'three': 3}
Bro i am new to python I am very much interested to learn python please give me suggestion to develop my python basics to reach up to a professional level
Fun fact: Dictionaries are now order preserving, so you can do the old trick of using a dict as a set and keep order without sorting. E.g. {k:None for k in [5,2,3,2,6,5,1]}.keys()
Great content. Thank you for sharing ur knowledge. It'll help if the font sizes are larger for screen casts. I watch ur videos on an old android phone. 😐
My tips: 1.Use map instead of for 2.Don't forget the walrus operator, just a details. 3.Don't use func(list[0], list[1]) use func(*list) 4.The tip 3 is also good for creating iterables in certain cases, [*list] for example 5.Don't iterate if you want new items for the list, use list.extend()
Generators and dictionary merger were new to me and I can see being very useful. Are generators more costly in terms of time efficiency? Seems to me that calling it multiple times is less efficient than having a precomputed list.
Tip 1 and 2: are there any advantages in terms of performance and/or memory management? As somebody who has to work with several programming languages and switch between them on the fly, I think I'd rather keep things as uniform and generic as possible between languages rather than stick to language specific idioms just for the sake of it.
@@jackgenewtf I think you missing my point about having to work with multiple programming languages, and basing your comment off an assumption that everybody else on the team is following python (or any language) specific idioms. My question was - are there any real practical (technical) benefit beyond the "we just used to do it that way" (i.e. language "idiom") and an overused "readability" argument. If people regularly work and switch between several different languages, having as uniform code structure as possible between all those languages seems like a more effective way to go, including the benefit for other team members who work with several languages as well or maybe simply not very experienced with python. Also, some people seem to be making a mistake by thinking that concise readable code is the same as cramming as much as possible into a single line. For example in a tip #2 of this video I would argue that a first shown method of filling a list is actually more readable and comprehensible than the second one, especially for people with limited or even no experience with python. Even for somebody not familiar with python syntax it would be more or less clear at a glance what happens in the code. Unfortunately same can not be said about a "correct" example featured in the tip.
Hey! The first tipp is really useful. Because it's a common issue - at least for beginners - using len for iterations. Because they use the lenght as an index instead of length - 1. So this method is readable and more secure because you cant use a non existent index. About the list comprehetions, ... I'm also not a fan, because I had trouble in the beginning to understand these. Plus I'm not a fan of long lines.
Hey dude. Thanks for this video, it helped me a lot in my studies! What's the theme you're using? I found it really cool and couldn't find it on the marketplace
I noticed that merge dictionaries doesn't merge into a new line, but more over writes the old on. I changed the name in the d2, and it overwrote the name in d1. I thought it would just create a new name in the dict. Is this the intended behavior?
I hope you find these tips helpful! Let me know if you have any other Python tips that improve your code :)
Helpful but too many ads cut...
Can you iterate from say idx 2 to n-4 of a list using enumerate without slicing or any extra lines of code...
@@sudhanshuranjan9 ya membership test is faster in set
remarkable!
Thank you!! Cheers from Chile!
In Python 3.9.0 or greater we can merge dictionaries using `|`:
d1 = {"name": "Alex", "age": 25}
d2 = {"name": "Alex", "city": "New York"}
merged_dict = d1 | d2
I like this as it stays true to Pipe symbol
you rock
And
print(merged_dict == d1 | d2)
will print out true
This syntax is way simpler.
Is there an easy (and fast for large dictionaries) way to merge dictionaries in a way, that it includes every value of both dicts with the same key? for example, if d2 would include "name": "Luca" instead of "Alex", i would like the merged output to be like:
{"name": ["Alex", "Luca"], "age": 25, "city": "New York"}
0:20 Iterate with Enumerate x For Loops with If
1:02 List Comprehension x For Loops
1:51 Sort iterables with sorted()
3:00 Unique values with Sets
3:37 Generators replacement for Lists
4:58 default values for dictionary keys
6:06 Count objects with collections.Counter
7:39 f-Strings > str.format()
8:20 Build up strings with .join()
9:27 merge dictionaries - This feature is updated again in 3.9 using |
10:00 simplify if statements
Thanks for the summary :)
@@patloeber you made this in 11 min, I see what u did there
@@patloeber This is a very nice video for quick reference on these coding best practices. Can you please copy this list of times to the video Description for future reference. That makes the vid hugely helpful for in future.
Superb content. I am a C++ programmer, but since 2019 have been dabbling with python. Being pythonic is actually what I look for as of now. Thanks.
On the last tip it would be much faster to use a set instead of a list. Sets have constant lookup time but lists have O(n) lookup time.
To convert list into set you need to execute O(n) operation.
@@sshishov my point is you shouldn't even create a list in the first place. You should create a set to begin with
Agree, but sometimes lists are needed if you want to keep duplicates or you want to keep items in inserted order.
@@sshishov True, but if you want to check membership, say, n times, than its O(n) vs. O(n**2). It depends on the problem which data structure is better, as your second comment shows. But if you are only worried about runtime, then @Evan Hagen is correct: you basically cannot lose by using a set (I mean even if you have to convert first), because if you run it once, it is the same runtime, but if you do it many times, then set is the better choice.
@@andraspongracz5996 agree 👍
Your videos are by far the most concise and easiest to assimilate compared to every other YT Python teacher (to me). Thanks for taking the time. Good stuff
That is absolutely golden video. Extremaly useful tricks that will make your life way much easier. I've already used 10 out of 11 but still it's nice refresher.
Great to hear!
I thought this would be something that would go way over my head but, as some that recently started learning python, this was really valuable!
I almost don't know any python, but I was able to comprehend 80% of the content. Amazing simple explanation. Thanks.
Nr.3 you can also do:
from operator import itemgetter
sorted_data = sorted(data, key=itemgetter('age'))
Yes thanks for the tip :)
i like this
dude, I've been doing a programming course 12 weeks, I feel like f-strings are something we should have been taught immediately, why am I only learning it through you
I love how you explain with simplicity. Great content.
Thank you! Glad you like it!
Simply wonderful! Subscribed in the first 2 minutes! Python is the greatest modern language, and these tips are gold!
Thank you so much!
If you aren't speeding up your videos during your scripting then you are a REALLY FAST typer, like holy crap. IDK how you can type those lists in under a second, that is crazy to me.
Great video. Please make more of these quick tips for comparisons of "beginner" python code vs experienced developer idioms
Thanks :)
I'm amazed at how there are beginner programmers, who never read basic tutorial in official documentation, and then watch similar videos, thinking they are learning advanced concepts.
Finally, how to do strings properly. I love using something like that in c#, and I'm glad it's on other languages like python.
literally watched for 1:03 seconds and i love the video. I'm a beginner btw. SUBBED!
The Squares example.. here's Python code:
squares = [i*i for i in range(15)]
print(squares)
Here's the R code:
x = 1:14; x^2
Python 48 characters, 2 lines
R 13 characters, 1 line
Advantage: R.
at 4:15 using generators:
Python:
my_gen = (i for i in range(10000))
print(sum(my_gen))
R:
x = 1:1e4; sum(x)
Python 52
R 17
Advantage: R.
Thanks for these tips! It's hard finding content outside beginner courses.
Nice tips. It speedup my code writing. Thanks, man.
Clear tips, like how you explain them, are simple and clear!
Great collection of useful tips, presented very clearly and concisely. Thanks!!
Thanks a lot! The first minute already helps a lot.
I'm a beginner -ish and knew about half to 2/3rd, but also learned a few good tricks :)
Thanks
Some interesting tips, I'm just going through a reformat of a new script and this should help tidy and speed some operations.
I am your fan now , thx a ton mate for all these tips.
Awesome, thank you!
Please try adding videos on Scarpping, ML & analytics . 🙂
I am so glad I found this channel.
The idea of list comprehensions was new to me, but I was curious if there was an option for dictionary comprehensions and, sure enough, there is! Was able to clean up a lot of my dictionary for loops. Thanks!
First example: return [max(i, 0) for i in data]
An alternative of TIP 10:
if you have two dictionaries you can join them using | operator.
d1={'one' : 1, 'two':2}
d2={'three':3}
d3=d1|d2
print(d3)
output: {'one': 1, 'two': 2, 'three': 3}
yep great tip!
Bro i am new to python I am very much interested to learn python please give me suggestion to develop my python basics to reach up to a professional level
@@vishnuuvardhanreddy3010 TH-cam and reddit are your best friends to learn anything
Not worked on all versions of python, just new.
What about dict update method?
Another great video. Thanks for the amazing content.
Glad you like it :)
THANKS that was useful...
one of the best python videos.
Really useful
only one word: amazing...
thanks!
Thank you for the video. I am grateful for your time and contribution. Kind regards, Akira.
2:59 you can preserve order with the help of sorted function
example:
my_list = [1, 2, 2, 3, 4, 5, 6, 7, 7 , 9, 8]
sorted(set(my_list), key= lambda x: my_list.index(x))
>>> [1, 2, 3, 4, 5, 6, 7, 9, 8]
Fun fact: Dictionaries are now order preserving, so you can do the old trick of using a dict as a set and keep order without sorting.
E.g. {k:None for k in [5,2,3,2,6,5,1]}.keys()
Really admire your work! Nice work mate
Thank you!
Nice tips, I'll save the video for later. Thanks!
Great content. Thank you for sharing ur knowledge. It'll help if the font sizes are larger for screen casts. I watch ur videos on an old android phone. 😐
thank you for the feedback! I try to improve this on my newer videos
Thank you. 😊🙏
This is one of the best python related videos I have seen.
thanks a lot!
My tips:
1.Use map instead of for
2.Don't forget the walrus operator, just a details.
3.Don't use func(list[0], list[1]) use func(*list)
4.The tip 3 is also good for creating iterables in certain cases, [*list] for example
5.Don't iterate if you want new items for the list, use list.extend()
What do you think? Do you have more?
Generators tip was quite a nice trick to know! So easy to be confounded with list generator.
yep it's very handy sometimes :)
Nice video! I really like that you made those slides in between the tips (gonna steal that for my future videos 😁)
Thank you! Glad you like it
Congratulations for this piece of art!!!!
This kind of teach methodology is extremely rare.
Thank you!
Generators and dictionary merger were new to me and I can see being very useful.
Are generators more costly in terms of time efficiency? Seems to me that calling it multiple times is less efficient than having a precomputed list.
This is one of those channels that separate my life into pre- and post-subscription eras!
this comment made my day :) glad you're here!
bro this was super helpful. thanks for this.
Hello, Thanks for those great tips !! Does someone knows which IDE he is using ?
Looks like visual studio code.
Thanks for the tips, always great to listen to fellow Python devs!
Hey, Excellent videos. The style is amazing! and more informative!. I am following you.
Great, thank you!
Thanks man! Nice video!!
Best python channel in YT
Thank you :)
amazing tips, very very valuable. thank you for sharing.
Still very relevant content, thanks for having this.
Superb [ ] of tips. Thank you!
Thanks man, this was helpful
Very helpful in refactoring my brain to be more pythonic!
Tip 1 and 2: are there any advantages in terms of performance and/or memory management? As somebody who has to work with several programming languages and switch between them on the fly, I think I'd rather keep things as uniform and generic as possible between languages rather than stick to language specific idioms just for the sake of it.
You're not doing it "for the sake of it," you're making it to make your code readable to others in your team.
@@jackgenewtf I think you missing my point about having to work with multiple programming languages, and basing your comment off an assumption that everybody else on the team is following python (or any language) specific idioms. My question was - are there any real practical (technical) benefit beyond the "we just used to do it that way" (i.e. language "idiom") and an overused "readability" argument. If people regularly work and switch between several different languages, having as uniform code structure as possible between all those languages seems like a more effective way to go, including the benefit for other team members who work with several languages as well or maybe simply not very experienced with python.
Also, some people seem to be making a mistake by thinking that concise readable code is the same as cramming as much as possible into a single line. For example in a tip #2 of this video I would argue that a first shown method of filling a list is actually more readable and comprehensible than the second one, especially for people with limited or even no experience with python. Even for somebody not familiar with python syntax it would be more or less clear at a glance what happens in the code. Unfortunately same can not be said about a "correct" example featured in the tip.
Hey! The first tipp is really useful. Because it's a common issue - at least for beginners - using len for iterations. Because they use the lenght as an index instead of length - 1.
So this method is readable and more secure because you cant use a non existent index.
About the list comprehetions, ... I'm also not a fan, because I had trouble in the beginning to understand these. Plus I'm not a fan of long lines.
you made me a better programmer with this video. Please do more series of videos like this.
glad to hear this!
very helpful
Wonderful tips. Every single one is pretty useful.
Great content and background music
Could you please tell how to safely count or check the if the generators items are empty?
Excellent information,Thanks
Hey dude. Thanks for this video, it helped me a lot in my studies! What's the theme you're using? I found it really cool and couldn't find it on the marketplace
It's the night owl theme. Have a look at my tutorial about my VS Code setup :)
what a legend , ty very much man
Very useful information explained in a very easy-to-understand way. Thank you for the effort.
glad it was helpul!
Dude this is great, thanks!
happy to hear this :)
thank you so much. keep it up you're the best.
thank you!
Please make complete playlist like these tips of python
very helpful. thank you!
This is a very good video. Thank you very much , keep up the good work .
Dunno why did I find you this late ?
Please add more tips on version 3.9 too.
Thanks.
Thanks 😊 ok
You are Superman:) Thanks for all of sharing.
thanks for the useful sharing!!!
glad you like it!
Thank you, this video was very helpful!
Very useful tips and tricks!
Thank You
glad it's helpful :)
really helpful, thanks a lot
very informative video brother 👍
Valuable tips! Thank you very much!
For #1, I would prefer a list comprehension: data = [0 if e < 0 else e for e in data]
Awesome tips, thank you!
Glad it's helpful!
This is great. I'm always looking on better coding style.
Could you tell which vs code theme that you are using? Thanks
Yes, I think it's the Night Owl theme
Most excellent video!
One question though, are generators also faster than lists?
no, the important point is that it requires less memory
super video!
you could have included zip() function too
Merge dictionaries.... Woahhhhh.... Oh my God... Thank you so much... That will make my life a bit easier....
Very useful, thanks ☺
I noticed that merge dictionaries doesn't merge into a new line, but more over writes the old on. I changed the name in the d2, and it overwrote the name in d1.
I thought it would just create a new name in the dict.
Is this the intended behavior?
Yes, the keys must be unique, otherwise it will be replaced.
Love these Python tips
perfect video, good job Python Engineer
Thanks so much!
Thank you, Subscribed to the channel
Thanks!
Thank you! Isn't enumerate slower then range(len())?
Very nice and useful tips
Wonderful. Thank you!
You are like my Python guru! Thank you Sir!
glad you like it!
Excellent video, very precise and nicely done!
Sir please post videos on nested loops and tips in nested loops
What keyboard shortcut are you using run the python file in the Output tab below?