I want to receive new messages from Telegram via a python script. I filter the message and then put out the result. But there is something wrong with the loop s
Suppose that we have 2 2X2 numpy arrays: X=np.array([[0,1],[1,0]]) and I=np.array([[1,0],[0,1]]) Consider the Kronecker product XX=X^X where I have let the s
Objective: To add boundary/initial conditions (BCs/ICs) to a system of ODEs I have used the method of lines to convert a system of PDEs into a system of ODEs. T
Disclosure Source 35 36 37 38 39 202-1 GRI 202: Market Presence 40 2016 41 42 43 The Source Co
Suppose I execute the following code W = tf.random.uniform(shape = (100,1), minval = 0, maxval = 1) Z = tf.random.uniform(shape = (100,1), minval = 0, maxval =
This code implements a recursive algorithm for solving Sudoku. And I want the result of the doctest to succeed. The code implementation of the Sudoku algorithm
This code block is from OR-Tools docs, and I want to remove these for-loops. Is there a way to vectorize the code? The issue here is that I expect to have the n
This code implements a recursive algorithm for solving Sudoku. And I want the result of the doctest to succeed. The code implementation of the Sudoku algorithm
I have a lambda that loads an S3 file and returns it as a Base64: return { "isBase64Encoded": True, 'statusCode': 200, 'body': b64encode(...).decode
I've created a slots-type game based on a numpy grid but the code below is just a shortened example that demonstrates the problem The issue I'm running into is
I am following the Python tutorial. def make_incrementor(n): return lambda x: x + n Result: f = make_incrementor(42) print(f(1)) 43 print(type(f)) <clas
I have a script which goes through a simple 2d CNN and I'm trying to run through a range of different values for the number of layers and neurons per layer in m
"Write a program using two threads such that one writes even numbers in increasing order and the other odd numbers in incresing order with respect to a certain
I have a model.predict()-method and 65536 rows of data which takes about 7 seconds to perform. I wanted to speed this up using the joblib.parallel_backend tooli
I have a small web app, and I'm trying to develop an API for it. I'm having an issue with a model I have called Platform inside of an app I have called UserPlat
I am new to Pyrogram and I try to make subsctiption bot I want to send messages as soon as any satisfy my filters, but every time I send more than 3 messages in
>>> main.yaml --- - hosts: localhost connection: local gather_facts: false vars_files: - child.yml tasks: - debug: var: user
I am struggling with the current stream position of StringIO objects. I create a StringIO object with initial content. Then when adding strings with write() the
Hi All so my dag actully runs fine, all the outputs are working but airflow's UI does not change to succes and fails due to the following issue. Reading online
What's the best (fastest) way of extracting a random value from a list, a large number (>1M) of times? I am currently in a situation where I have a graph rep