0 views collected around this technical thread.
This article explains the differences between pandas loc/iloc and at/iat, demonstrates why using loc/iloc inside loops can be extremely slow, and shows how replacing them with at/iat can speed up DataFrame updates by up to 60 times.
This article explains how pandas loc and iloc work, demonstrates their slow performance when used inside loops, and shows that using the at and iat accessors provides a dramatically faster alternative for scalar assignments in DataFrames.
This article explains why pandas loc/iloc operations inside Python loops are extremely slow, demonstrates the performance difference with concrete examples, and shows that using the scalar‑access methods at and iat can speed up the same task by dozens of times.
This article explores strategies for seamless data migration—including full, incremental, and binlog‑based approaches—and examines distributed transaction models such as XA, BASE, TCC, and AT, outlining their components, workflows, advantages, challenges, and supporting tools like Seata and Canal.
This article explains the challenges of distributed transactions in micro‑service architectures and presents Seata's various solutions—including two‑phase commit, XA, AT, TCC, Saga and message‑based approaches—while covering fundamental concepts such as ACID, CAP and BASE.
This article introduces the classic shortest‑path problem in graph theory, explains major algorithms such as Dijkstra, Bellman‑Ford, Floyd and A*, discusses their strengths and limitations, and demonstrates their application to a city‑ticket pricing case using Python’s NetworkX library.
This guide explains how to automate common Linux tasks such as boot‑time service startup, one‑off scheduling with at, and recurring jobs with crontab, covering runlevel management, rc.d editing, command syntax, and integrating shell scripts for efficient system operations.
This guide walks you through essential Linux automation techniques—including boot‑time service startup with chkconfig and rc.d, one‑off scheduling using at, and recurring jobs with crontab and shell scripts—so you can manage web servers efficiently without manual intervention.