%run _help_reading.pyimport pandas as pddf = pd.read_csv('https://github.com/MrGeislinger/victorsothervector/raw/main/''data/reading/all_reading-clean.csv')book_name ="""Fundamentals of Software Architecture"""one_title = one_title_data(df, book_name)one_title_summary = get_summary_by_day(one_title)generate_plot(one_title_summary, book_name);
/Users/victor/Developer/Workspace/victorsothervector/books/_help_reading.py:78: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. Otherwise, ticks may be mislabeled.
ax.set_xticklabels(
Figure 1: Reading done for Fundamentals of Software Architecture
title: “Fundamentals of Software Architecture” book: title: “Fundamentals of Software Architecture” format: html: code-fold: true creator: “@victorgeislinger” —
Thoughts on Fundamentals of Software Architecture
Overview
Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks. You’ll explore software architecture in a modern light, taking into account all the innovations of the past decade. This book examines: Architecture patterns: The technical basis for many architectural decisions Components: Identification, coupling, cohesion, partitioning, and granularity Soft skills: Effective team management, meetings, negotiation, presentations, and more Modernity: Engineering practices and operational approaches that have changed radically in the past few years Architecture as an engineering discipline: Repeatable results, metrics, and concrete valuations that add rigor to software architecture