pointers-for-software-engineers
Software tutorial
A comprehensive curriculum designed to teach software engineering fundamentals and practical topics
A curated list of topics to start learning software engineering
6k stars
217 watching
413 forks
last commit: 10 months ago computer-sciencecurated-listmoocsoftware-engineering
Related projects:
Repository | Description | Stars |
---|---|---|
| Curated list of tutorials to build applications from scratch in various programming languages | 206,954 |
| A comprehensive resource for software engineering technical interviews, covering topics such as data structures, algorithms, and coding challenges in Java. | 63,714 |
| A structured study plan to help software developers learn machine learning and become a machine learning engineer | 28,216 |
| A collection of learning resources and documentation for software engineers to improve their skills in professional programming. | 46,845 |
| Teaches software developers how to build, deploy, and maintain products with machine-learning models. | 385 |
| A roadmap to help software developers acquire skills to become software architects. | 1,054 |
| A comprehensive learning platform covering object-oriented and procedural programming fundamentals in various languages | 6 |
| Curriculum documentation and support for Ops School project | 1,623 |
| A comprehensive study plan and resource collection for software engineers to prepare for technical interviews. | 307,893 |
| A comprehensive resource for learning programming with MATLAB, covering various topics and skills needed to develop software applications. | 102 |
| A comprehensive repository for teaching university-level data structures and algorithms course materials | 114 |
| Comprehensive study notes and resources for AWS Certified Solutions Architect – Associate exam preparation | 382 |
| An alternative resource for technical interviews, focusing on portable software development skills beyond language trends. | 1,880 |
| A comprehensive resource for learning prompt engineering techniques for interacting with large language models. | 36 |
| A collection of examples and code snippets teaching machine learning concepts to security professionals through hands-on Python projects | 151 |