tech2geek

How to Use input() in Python: A Complete Guide with Examples

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...
tech2geek

How to Split Strings in Python: 9 Essential Methods (With Examples)

String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...
Frontiers

Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...
Hacker

SQL Data Modification Commands With Examples: A Quick and Simple Guide

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
UroToday

Robot-Assisted Simple Prostatectomy for Two Cases of Benign Prostatic Hyperplasia: The First Report in Japan.

Robot-assisted simple prostatectomy is associated with better perioperative outcomes than those of open simple prostatectomy. We report the outcomes of two cases treated with robot-assisted simple ...
Scientific Research Publishing

Campbell, S., Greenwood, M., Prior, S., Shearer, T., Walkem, K., Young, S. et al. (2020). Purposive Sampling: Complex or Simple? Research Case Examples. Journal of Research in ...

ABSTRACT: This paper aims to research the perceptions of the populace on the dangers and advantages of Artificial Intelligence (AI), and the effects of those perceptions on the trust and acceptance of ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...