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OPENING HOURS. Term: 8.30 am to 7.00 pm. Break/Vacation: 9.00 am to 6.00 pm. Weekends and Public Holidays: Closed. Location: Level 2 - 5, Block 1, Admin Building. Visiting the Library >.
How to Book A Facility. Important: You can only make a maximum of 2 bookings each day, regardless of when the booking is for. You can only hold an advance booking of max 2 hours each week at one time . To book, visit NP’s Facility Booking System. Or scan code below to log into mobile site of NP's Facility Booking System. Step 1:
Opening Hours. Lien Ying Chow Library. Term: 8.30am to 7.00pm. Break / Vacation: 9.00am to 6.00pm. Weekends & Public Holidays: Closed. Note: We occasionally have special opening and closing hours. Check our website notification bar at the top for latest updates. Access & Entry.
The NP Examination Papers Database provides multi-user access to examination papers for all Diplomas, Advanced Diplomas and Certificate courses offered by the Polytechnic. It replicates the last 5 years of exam papers in hard copies.
The Library subscribes to a wide range of paid industry databases across different industries. To search for individual journal articles, access our Library Discovery. Browse our subscribed databases or resources by topic. Interdisciplinary Statista. Provides statistical data for over 80,000 topics from more than 22,500 trustworthy sources ...
Learning Resources. E-Learning Content. Interactive content and quizzes on future-ready skills needed for today’s world. Curated Guides. Articles, books, online videos and info on popular subjects and trending topics. Research Support. Research guides and librarian assistance for your research or assignment. Ngee Ann Polytechnic (NP)
Digital. eBooks. Access eBooks from lifestyle to industry content. Exam Papers. Browse past 5 years’ exam papers for all diplomas and certificate courses. Industry Databases. Get important info and access useful tools, from sound effects to statistics. Learning Platforms.
eResources. Find the best library databases for your research.
Powerful N-dimensional arrays. Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today.
It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical ...
