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How can self-learners learn programming in the most efficient way? A pragmatic approach

Szerző: Sebastien Phlix

Nyelv:

Kötés: Puha kötésű

Kiadó: Grin Publishing

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

14 831 Ft

Master's Thesis from the year 2016 in the subject Computer Science - Programming, grade: 20/20, Écol...

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Szerző

Sebastien Phlix

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2016

oldal

EAN

9783668357686

ISBN

3668357684

Enbook ID

15592766

Kiadó

Grin Publishing

Súly

109

Méretek

148 x 210 x 6

Teljes leírás

Master's Thesis from the year 2016 in the subject Computer Science - Programming, grade: 20/20, École des hautes études commerciales de Paris (HEC Entrepreneurs), language: English, abstract: This paper provides a structured approach for self-learning programming for free on the internet. Its recommendations are based on a review of the existing academic literature which is complemented by the analysis of numerous contributions by software developers, self-learners, and teachers of programming. Additionally, it incorporates effective learning techniques derived from psychological research. Its intended readers are primarily entrepreneurs and 'startup people' who are driven to build new businesses with code, although the proposed approach is also transferable to other domains and audiences. The single most important factor for succeeding in learning programming has been found to be of human nature: learner motivation and persistence. While most beginners and the majority of academic contributions focus mostly on technical aspects such as which language to learn first, or which learning resources to use, this paper analyzes the learning process itself. Learning programming is thus divided into three main steps: First, I highlight the importance of setting a strong learning goal for motivation, and provide a big-picture overview of what 'learning programming' encompasses to structure the approach. Second, I provide learners with recommendations as to which language to learn first - there is no one 'best' choice - as well as how and where to find effective learning resources. Lastly, the paper concludes with tips for optimizing the learning process by introducing effective learning techniques, highlighting the importance of programming practice, and collecting additional advice from programmers and self-learners.

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How can self-learners learn programming in the most efficient way? A pragmatic approach

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