How to make while iteration faster?

How to make while iteration faster?

Content Index :

How to make while iteration faster?
Tag : python , By : Shawazi
Date : November 24 2020, 01:01 AM

around this issue Apart from what @Kasra suggested the other slower part in your code is deletion of item at 0th index, for lists it's O(N) operation. A better data-structure for this is collections.deque which allows fast insertion and deletion on either end.

No Comments Right Now !

Boards Message :
You Must Login Or Sign Up to Add Your Comments .

Share : facebook icon twitter icon

Why is list iteration faster than vector iteration C++

Tag : cpp , By : Nosayaba
Date : March 29 2020, 07:55 AM
seems to work fine Based on the amount of time you're listing, (10-20 seconds for each) it seems nearly certain that you're compiling with optimization disabled1. This renders your results basically meaningless.
Doing a quick test on my (roughly 7 year-old) machine, with optimization enabled I get a time of 0 for vector and about 1.2-1.5 seconds for list (1.2 with VC++, 1.5 with g++).

Can iterating over unsorted data structure (like array, tree), with multiple thread make iteration faster?

Tag : cpp , By : Robert MacGregor
Date : March 29 2020, 07:55 AM
With these it helps The answer is yes, it can make it faster - but not necessarily. In your case, when you're iterating over pretty small arrays, it is likely that the overhead of launching a new thread will be much higher than the benefit gained. If you array was much bigger then this would be reduced as a proportion of the overall runtime and eventually become worth it. Note you will only get speed up if your system has more than 1 physical core available to it.
Additionally, you should note that whilst that the code that reads the array in your case is perfectly thread-safe, writing to std::cout is not (you will get very strange looking output if your try this). Instead perhaps your thread should do something like return an integer type indicating the number of instances found.

How can my Postgres query perform faster? Can I use Python to provide faster iteration?

Tag : python , By : goffi
Date : March 29 2020, 07:55 AM
wish help you to fix your issue Try the following, which eliminates your count(*) and instead uses exists.
 with dupe as ( 
   select id, 
     json_document->'Firstname'->0->'Content' as first_name, 
     json_document->'Lastname'->0->'Content' as last_name, 
     identifiers->'RecordID' as record_id 
       jsonb_array_elements(json_document->'Identifiers') as identifiers 
      from staging ) sub 
      group by
      order by last_name ) 
 select * from dupe da 
   where exists 
     (select * 
       from dupe db 
         db.record_id = da.record_id 
         and db.id != da.id

Python: make list iteration faster

Tag : python , By : Peter Leung
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , In your code you're calculating the median 50K times despite being always the same. Since computing the median requires sorting your 50K values, this ends up being pretty intensive.
Below you find a numpy-based snippet.
data = np.loadtxt('text.txt', dtype=str)
grades = [float(g) for g in data[1:, 2]]
norm_grades = grades / np.median(grades) * 500

Make this faster. (Min, Max in same iteration using a condition)

Tag : python , By : Lucas Thompson
Date : March 29 2020, 07:55 AM
Related Posts Related QUESTIONS :
  • Python subprocess doesn't work without sleep
  • How can I adjust 'the time' in python with module Re
  • Join original np array with resulting np array in a form of dictionary? multidimensional array? etc?
  • Forcing labels on histograms in each individual graph in a figure
  • For an infinite dataset, is the data used in each epoch the same?
  • Is there a more efficent way to extend a string?
  • How to calculate each single element of a numpy array based on conditions
  • How do I change the width of Jupyter notebook's cell's left part?
  • Measure distance between lat/lon coordinates and utm coordinates
  • Installing megam for NLTK on Windows
  • filter dataframe on each value of a samn column have a specific value of another column in Panda\Python
  • Threading with pubsub throwing AssertionError: 'callableObj is not callable' in wxPython
  • Get grouped data from 2 dataframes with condition
  • How can I import all of sklearns regressors
  • How to take all elements except the first k
  • Whats wrong with my iteration list of lists from csv
  • Tensorflow Estimator API save image summary in eval mode
  • How to Pack with PyQt - how to make QFrame/Layout adapt to content
  • How do I get certain Time Range in Python
  • python doubly linked list - insertAfter node
  • Open .h5 file in Python
  • Joining a directory name with a binary file name
  • python, sort list with two arguments in compare function
  • Is it possible to print from Python using non-ANSI colors?
  • Pandas concat historical data using date minus some number of days
  • CV2: Import Error in Python OpenCV
  • Is it possible to do this loop in a one-liner?
  • invalid literal for int() with base 10: - django
  • Why does my code print a value that I have not assigned as yet?
  • the collatz func in automate boring stuff with python
  • How to find all possible combinations of parameters and funtions
  • about backpropagation deep neural network in tensorflow
  • Sort strings in pandas
  • How do access my flask app hosted in docker?
  • Replace the sentence include some text with Python regex
  • Counting the most common element in a 2D List in Python
  • logout a user from the system using a function in python
  • mp4 metadata not found but exists
  • Django: QuerySet with ExpressionWrapper
  • Pandas string search in list of dicts
  • Decryption from RSA encrypted string from sqlite is not the same
  • need of maximum value in int
  • a list of several tuples, how to extract the same of the first two elements in the small tuple in the large tuple
  • Display image of 2D Sinewaves in 3D
  • how to prevent a for loop from overwriting a dictionary?
  • How To Fix: RuntimeError: size mismatch in pyTorch
  • Concatenating two Pandas DataFrames while maintaining index order
  • Why does this not run into an infinite loop?
  • Python Multithreading no current event loop
  • Element Tree - Seaching for specific element value without looping
  • Ignore Nulls in pandas map dictionary
  • How do I get scrap data from web pages using beautifulsoup in python
  • Variable used, golobal or local?
  • I have a regex statement to pull all numbers out of a text file, but it only finds 77 out of the 81 numbers in the file
  • How do I create a dataframe of jobs and companies that includes hyperlinks?
  • Detect if user has clicked the 'maximized' button
  • Does flask_login automatically set the "next" argument?
  • Indents in python 3
  • How to create a pool of threads
  • Pandas giving IndexError on one dataframe but not on another similar dataframe
  • shadow
    Privacy Policy - Terms - Contact Us © scrbit.com