Böcker av Christian Mayer

Learn eight principles to simplify your code and become a more effective (and successful) programmer.Most software developers waste thousands of hours working with overly complex code. The eight core principles in The Art of Clean Coding will teach you how to write clear, maintainable code without compromising functionality. The book’s guiding principle is simplicity: reduce and simplify, then reinvest energy in the important parts to save you countless hours and ease the often onerous task of code maintenance.Bestselling author Christian Mayer leverages his experience helping thousands perfect their coding skills in this new book. With expert advice and real-world examples, he’ll show you how to: Concentrate on the important stuff with the 80/20 principle -- focus on the 20% of your code that matters mostAvoid coding in isolation: create a minimum viable product to get early feedbackWrite code cleanly and simply to eliminate clutter Avoid premature optimization that risks over-complicating code Balance your goals, capacity, and feedback to achieve the productive state of FlowApply the Do One Thing Well philosophy to vastly improve functionalityDesign efficient user interfaces with the Less is More principleTie your new skills together into one unifying principle: Focus  The Python-based The Art of Clean Coding is suitable for programmers at any level, with ideas presented in a language-agnostic manner.

This book provides an account of the transit of Venus across the sun on May 23, 1769, as observed by Christian Mayer. It includes a detailed description of the event along with Mayer's methods and equipment for observation.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it.This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You''ve seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you''ll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code. A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards

Experienced programmers will improve their Python skills with these useful one-liners.