this is the code for calculating average of each ch[x] from a kafka source using apache flink(pyflink) i think i have imported all of the necessary libraries An
I'm trying to solve a set of transient flow equations of a body firing from a pressurised tube from scipy.integrate import odeint import numpy as np # paramet
This is my first post at Stackoverflow, so thank you for the help. I am trying to replicate a code where I can match a list within a dataframe to another list,
I am writing a python script using web3 package. The process explained: I have a transaction, which I read the transaction receipt for txn_receipt = w3.eth.getT
I had train a BertClassifier model using pytorch. After creating my best.pt I would like to make in production my model and using it to predict and classifier s
I'm pretty new to locust and load testing, I need to write a load test that should be for a total of 30 users, these users should be added to the test step by s
I am using VGG19 pre-trained model with ImageNet weights to do transfer-learning on 4 classes with keras. However I do not know if there really is a difference
I've a monorepo that contains a set of Python AWS lambdas and I'm using Bazel for building and packaging the lambdas. I'm now trying to use Bazel to create a zi
I am building a streaming pipeline using Apache Beam (Python SDK version 2.37.0) and Google Dataflow to write some data I receive via Pubsub to BigQuery. I proc
i want to link a local HTML file to a plotly dash table. from dash import Dash from dash_table import DataTable import pandas as pd df = pd.DataFrame( {
I am getting this error while running pyspark package in pycharm using python 3.9 using this below code. from pyspark.sql import SparkSession from pyspark.sql.t
I have a simple python script that leads to a pandas SettingsWithCopyWarning: import logging import pandas as pd def method(): logging.info("info") l
I am writing a Vector and Matrix classes that use numpy in the backend in order to abstract some common methods and calculations (specifically, physics calculat
Is there a way to convert back and forth between a binary vector and a 128-bit number? I have the following binary vector: import numpy as np bits = np.array([
I am using ccxt library to work with exchange. Struggling with making market order on Bybit. How it can be fixed? The error i've got is TypeError: Exchange.requ
I have the following texts in a df column: La Palma La Palma Nueva La Palma, Nueva Concepcion El Estor El Estor Nuevo Nuevo Leon San Jose La Paz Colombia Mexico
I am new to Django/Python, and am trying to figure out the best way to have global constants in my project that are available to templates in ALL APPS in the pr
I am looking to compare two instances of the same class, but only the items for which both are not None. for instance, I will have a Bolt class, and one instanc
I want to generate a synthetic data from scratch which is a binary outcome sequence data (0/1). My data has following property- For the sake of an example, lets
I have a curve which is composed of 1200 values and i just want to compute its derivative so i use numpy gradient function. Here is the code i'm using: data = n
elasticsearch-bulk-api