What can occur if one or more workers call ‘Synchronous function’ simultaneously ? Maybe one or more workers become blocked for a while ? Answer Short answer: If you call a synchronous (blocking) function from within an async coroutine, all the tasks that are concurrently running in the loop will stall until this function returns. Use loop.run_in_executor(…) to asynchronous run
Tag: function
Python: Function scope inside a class
Let’s consider the code below. On first look, one might expect list_1 and list_2 to both have the same content: [“Tom”, “Tom”], but this is not the case. list_1 evaluates to [“Tom”, “Tom”], whereas list_2 evaluates to [“John”, “John”]. I read that when a function is nested inside a class, Python will use variables defined in the module scope and
return boolean value for a custom function
I am comparing key elements in a list with dictionary keys I wrote a custom function as follows I want to execute the other part of my code, only if the function executes without any errors. I dont understand how to specify a return value for the function and execute my code based on the return value I am trying
Can’t create function, that adds new column in DataFrame
I’m trying to make a function that adds new columns with numbering: But, when I call it, I get an eroor: NameError: name ‘column’ is not defined What did I do wrong? Answer Use:
Draw Co-ordinates using Turtle
I’m trying to draw a set of co-ordinates using Python Turtle, however ,I’m stuck and have no clue how to move on. I know that I have to set up a loop function but I’m not sure how to write it out, still new to programming. Answer Add this to the loop in print_map:
Conditional formatting of arrays in Numpy Python
I am trying to make a function where if the last value of order is 1 then the code will append 1 to orders and then append the number 20 to the value array as well. If the last value is 0 in order then it will append 1 to order and append the number 15 to value. Expected Output:
Python function that gives a maximum of 1.2 [closed]
Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 2 years ago. Improve this question I have this code here: But it doesn’t let me use numbers between 0-1.9 showing an output of What should
Overwriting an array in Numpy function Python
I am trying to write a numpy function that iterates with itself to update the values of its function. If for example Random_numb was equal to [50, 74, 5, 69, 50]. So the calculations would go like, 10* 50 = 500 for the first calculation, with the equation Starting_val = Starting_val * Random_numb. The Starting_Val would equal to 500 so
Is there a better way to use a function from a different .py file?
I am making an agent that uses different sets of functions to solve different types of problems. My issue is – there are many different types of problems to solve, so I have many, many different functions that the agent needs to use. My main .py file is likely going to end up at least 1000 lines, which I’d like
Python function returns nan
I have written function for gradient descent and used pandas to read csv file. But when I use data read by pandas, the function returns “nan”. I can’t understand why. Thanks in advance. Answer It might be a vanishing gradient problem. You gradients might be very close or even zero. Try to initialize your weights with non zero values.