Lisa's notes: musings on daily life, work, study, personal growth, and casual reflections.
This note explains how Python variable assignment creates references, demonstrates the differences between shallow and deep copying of lists, and provides concrete code examples showing how modifications affect original and copied objects for both one‑dimensional and multi‑dimensional lists.
This note explains Java inheritance, covering the single‑inheritance class hierarchy, a Car class example, a ChildCar subclass that adds a load field, and eight key inheritance capabilities such as member reuse, method overriding, and constructor chaining, illustrating why inheritance improves code reuse and quality.
This tutorial walks through essential Python data structures, showing how to retrieve a dictionary's length, keys, values, and items, iterate using four different patterns, merge dictionaries with update, and then introduces sets—covering creation, properties, and common operations such as add, update, pop, remove, discard, clear, and iteration—with concrete code examples and their outputs.
The article explains Java annotations, covering their purpose, usage in compilation, documentation and runtime, demonstrates built‑in annotations such as @Deprecated, @Override and @SuppressWarnings, shows how to define custom annotations, set retention policies, and create annotation processors with concrete code examples.
This tutorial explains why lists can be limiting for storing multiple data items, introduces dictionary syntax, and walks through creating, accessing, modifying, adding, and deleting dictionary entries with concrete code examples and their output.
IPD is a market‑driven, cross‑functional product development framework that treats development as an investment decision, emphasizing portfolio analysis, asynchronous parallel engineering, reusable building blocks, and structured yet flexible processes, while IPD‑CMM extends this by embedding a V‑model software maturity approach with early‑stage test planning.
The article explains Integrated Product Development (IPD) as a market‑driven, cross‑functional management system that combines demand, market, and technology management with a structured four‑layer process, illustrated by IBM and Huawei case studies, to deliver high‑quality, low‑cost products efficiently.
This tutorial walks through Python list basics, showing how to define one‑, two‑ and three‑dimensional lists, access elements via indexing, and use list comprehensions to generate sequences, filter odd numbers, and compute squares, with complete code examples and their outputs.
This tutorial demonstrates how to sort lists with sort() and sorted(), reverse them, retrieve length, maximum, minimum, and element indices, and includes concrete code examples and their output for each operation.
The article examines how Huawei, facing high R&D waste, long cycles and declining margins, looked to IBM’s turnaround under Gerstner and its Integrated Product Development (IPD) framework as a blueprint to build a systematic, efficient R&D system for long‑term products.
