On GitHub, developers are spending more time on cross-platform development, deep learning, and acquring new coding skills, based on the popular code-sharig site’s analysis of activity on GiHub in 2017.
Github also took note of the growing profile of artificial intelligence across different industries. Projects that have seen increased interest include:
- TensorFlow, with 2.2 times more visitors than the year before. The companion TensorFlow Models project, for implementing models, had 5.5 times more visits.
- The Keras high-level neural networks API, written in Python.
- Mozilla’s Project DeepSearch, providing a speech-to-text engine leveraging machine learning.
Increasingly popular projects related to learning to code, coding best practices, and getting jobs included:
- Norvig Pytudes, providing Python programs to hone or demonstrate skills.
- Jwasham Coding Interview University, with a study plan to become a software engineer.
- Yangshun Tech Interview Handbook, to help with coding interviews.
- iOnatan Node Best Practices, providing best practices for .
- Alibaba p3c, providing Java coding guidelines.
- Thedaviddias Front-End Checklist, providing a list of elements to test before launching a website or HTML page.
GitHub’s analysis looks at contributor, visitor and star activity to determine which projects are attracting interest.
This story, “For developers, the focus is deep learning, multiplatform, and coding skills” was originally published by InfoWorld.