Becoming a Better Programmer: A Handbook for People Who Care About Code

Becoming a Better Programmer: A Handbook for People Who Care About Code

English | October 3rd, 2014 | ISBN: 1491905530 | 362 Pages | EPUB | 30.94 MB

If you're passionate about programming and want to get better at it, you've come to the right source. Code Craft author Pete Goodliffe presents a collection of useful techniques and approaches to the art and craft of programming that will help boost your career and your well-being.

Goodliffe presents sound advice that he's learned in 15 years of professional programming. The book's standalone chapters span the range of a software developer's life-dealing with code, learning the trade, and improving performance-with no language or industry bias.

Whether you're a seasoned developer, a neophyte professional, or a hobbyist, you'll find valuable tips in five independent categories:
Code-level techniques for crafting lines of code, testing, debugging, and coping with complexity
Practices, approaches, and attitudes: keep it simple, collaborate well, reuse, and create malleable code
Tactics for learning effectively, behaving ethically, finding challenges, and avoiding stagnation
Practical ways to complete things: use the right tools, know what "done" looks like, and seek help from colleagues
Habits for working well with others, and pursuing development as a social activity


[Fast Download] Becoming a Better Programmer: A Handbook for People Who Care About Code

Related eBooks:
Sparse Grids and Applications
Cell Formation in Industrial Engineering: Theory, Algorithms and Experiments
Finite and Boundary Element Tearing and Interconnecting Solvers for Multiscale Problems
Office 365 User Guide
Variation-Aware Adaptive Voltage Scaling for Digital CMOS Circuits
Thermodynamics of Information Processing in Small Systems
Openstack Cloud Application Development
Photoshop CS4 fr Webdesigner
CSS & CSS3: 20 Lessons to Successful Web Development
Probability and Statistics with Reliability, Queuing, and Computer Science Applications, Second Edit
Practical Aspects of Declarative Languages
Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence prin
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.