A class to add to your application to generate nicely formatted prints from a DataGrid. A client side filtered dropdown for ASP.NET by marcel27 Filter a combo box in IE as you type - without posting back at ever
( data=sample_data.data, columns=sample_data.feature_names) df['Y'] = sample_data.target X = df.drop('Y', axis=1).values y = df['Y'].values X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.2, random_state=0) data = {"train": {"X": X_...
( data=sample_data.data, columns=sample_data.feature_names) df['Y'] = sample_data.target X = df.drop('Y', axis=1).values y = df['Y'].values X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.2, random_state=0) data = {"train": {"X": X_...
CI scripts for a drop-in framework of standard checks to run in all CI builds, CI detection, accounting for installation differences across CI environments, root vs user, virtualenvs etc. API scripts auto-handling authentication, tokens and other details to quickly query popular APIs with a few...
The following code uses @dlt.expect_or_drop to define an expectation named valid_data that drops records that are null during data ingestion:Python 复制 import dlt @dlt.table() @dlt.expect_or_drop("valid_date", "order_datetime IS NOT NULL AND length(order_datetime) > 0") def orders_...
This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.
Python A Step-by-Step Guide to Building and Distributing a Sleek RAG Pipeline7/9/2024, 7:10:00 AMbyJozu MLOps In this article, we build a Retrieval-Augmented Generation (RAG) pipeline using KitOps, integrating tools like ChromaDB for embeddings, Llama 3 for language models, and SentenceTra...
Hi everyone, I installed the Excel Labs add-in but when I try to save any Python code in a cell I get this error (in Italian): Save failed: The argument is not valid, is missing, or has an incorrect format. I am attaching a screenshot: ...
import pandas as pd def count_unique_subjects(teacher: pd.DataFrame) -> pd.DataFrame: del teacher['dept_id'] teacher = teacher.drop_duplicates() # 去重 return teacher.groupby('teacher_id', as_index=False).count().rename(columns={'subject_id':'cnt'}) ...
If no debug session is active, output sent to the debug console is not shown.activeDebugSession: DebugSession | undefinedThe currently active debug session or undefined. The active debug session is the one represented by the debug action floating window or the one currently shown in the drop ...