The phrase "a programming toolkit" is correct and usable in written English.
It can be used when referring to a collection of tools or resources designed to assist in programming tasks or software development.
Example: "The new software comes with a comprehensive programming toolkit that simplifies the development process."
Alternatives: "a coding toolkit" or "a software development kit".
Iterative design of a program toolkit occurred in which participatory ergonomics (PE) served as the primary basis to plan integrated TWH interventions in four diverse organizations.
The class included companies developing products ranging from a location-based iPhone app that's looking to make Yelp hyperlocal on mobile devices, a company making a wearable device programming toolkit, to a water use sensor and mobile app to reduce customers' water bills.
OpenDragon is a remote sensing educational platform with an integrated programming toolkit; the article by the developers in [14] provides insights on its applications for teaching.
Most importantly, the CUDA programming toolkit released by NVIDIA facilitates the development of software parallelism via GPUs.
In the past five years, great strides have been made in expanding the biological programming toolkit to include recombinase- and CRISPR based gene circuits that execute complex cellular logic and memory.
We and our partners will develop an online program toolkit that includes guidance documents on topics including a model government policy for PPPs, screening potential projects, managing contracts, and auditing results.
Previous research has highlighted the need for a novel set of MT programming toolkits [5] being reusable [6].
While there have been a dozen of authoring systems and programming toolkits for visual design and development, users who do not have programming skills, such as data analysts or interface designers, still may feel cumbersome to efficiently implement a web-based visualization.
The high memory bandwidth and massive parallelism of these platforms make it possible to achieve dramatic speedups over a standard CPU in many applications [10, 11], and several programming toolkits and interfaces, such as NVIDIA CUDA [12] and Open Computing Language (OpenCL) [13], have shown a high effectiveness in the mapping of data parallel applications to GPUs [10, 14].
The evolution of GPU programming toolkits and libraries such as Nvidia's Compute Unified Device Architecture has made this task easier, but has not fully eliminated a significant learning curve and barrier to application.
