CompSci Weekend SuperThread (September 18, 2020) Computer Science |
- CompSci Weekend SuperThread (September 18, 2020)
- [R] After 15 Long Years, a NumPy Paper Finally Appears!
- Free lectures on Biostatistics on Discord!
- Vectorized Interpolation
- CyberSecurity Myth vs Reality
- Difference
- Comparison of top data science libraries for Python, R and Scala
- Retiming and duplicating people in video (using neural rendering)!
- Find code implementations for ML/AI research papers directly on Google, Arxiv, Scholar, Twitter, Github, and more!!
- Data-Driven O(ptimization) : MyTime vs RunTime
- Google Software Engineering Intern
- [Research] Python Library to generate temporal and sequential data based on an arbitrary dynamic Bayesian network structure
- a level computer science textbooks
- irtualozation and its concepts
- Infrastructure as a service
| CompSci Weekend SuperThread (September 18, 2020) Posted: 17 Sep 2020 06:04 PM PDT /r/compsci strives to be the best online community for computer scientists. We moderate posts to keep things on topic. This Weekend SuperThread provides a discussion area for posts that might be off-topic normally. Anything Goes: post your questions, ideas, requests for help, musings, or whatever comes to mind as comments in this thread. Pointers
Caveats
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| [R] After 15 Long Years, a NumPy Paper Finally Appears! Posted: 17 Sep 2020 02:29 PM PDT Since NumPy was introduced to the world 15 years ago, the primary array programming library has grown into the fundamental package for scientific computing with Python. NumPy serves as an efficient multi-dimensional container of generic data and plays a leading role in scientific computing. It is an essential component in research analysis pipelines across fields as diverse as physics, chemistry, astronomy, geoscience, biology, psychology, materials science, engineering, finance and economics. NumPy is open-sourced and has myriad contributors. But one thing has always been missing. A thorough review paper that is fully representative of the team behind Numpy's genesis has never been published. The missing chapter in the NumPy story was written yesterday — with the appearance of the paper Array Programming with NumPy in leading scientific journal Nature. Here is a quick read: After 15 Long Years, a NumPy Paper Finally Appears! The paper Array Programming with NumPy is on Nature. [link] [comments]  |
| Free lectures on Biostatistics on Discord! Posted: 17 Sep 2020 08:58 PM PDT Hey there! Biocord is the largest community of Biologists on Discord and we conduct courses and talks on the server which are 100% free to join and engage in. We have Post graduate students as well as Doctorate holders handling these courses and giving frequent talks on their areas of research, but all students and professionals from all walks of life are welcome to join! We have a lively Bioinformatics community which loves troubleshooting and will help you and others out with your code or approach to the problem. A bioinformatics course is also in the works which will be announced soon! Our Biostatistics course will begin at the end of September. But that's not all, we also have courses on-
All of the previous lectures are recorded and can be viewed at your leisure, so don't worry if you've missed classes on your favourite subject, so hop on in! [link] [comments]  |
| Posted: 17 Sep 2020 11:40 AM PDT I've written an algorithm that vectorizes polynomial interpolation, producing extremely fast approximations of functions. The algorithm works by generating a large number of possible polynomials of a given degree, and then evaluates all of them, but because these operations are vectorized, the runtime is excellent, even on a home computer: Running on an iMac, the algorithm generates and tests 160,000 fourth-degree polynomials in 2.38 seconds, and generates and tests 160,000 linear approximations in 1.06 seconds. Code and explanation: https://derivativedribble.wordpress.com/2020/09/17/vectorized-interpolation/ [link] [comments]  |
| Posted: 18 Sep 2020 12:28 AM PDT |
| Posted: 18 Sep 2020 01:52 AM PDT Hi! I have always been bothered about the difference between:
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| Comparison of top data science libraries for Python, R and Scala Posted: 18 Sep 2020 12:31 AM PDT |
| Retiming and duplicating people in video (using neural rendering)! Posted: 17 Sep 2020 08:50 PM PDT |
| Posted: 17 Sep 2020 07:03 PM PDT |
| Data-Driven O(ptimization) : MyTime vs RunTime Posted: 17 Sep 2020 03:01 PM PDT |
| Google Software Engineering Intern Posted: 17 Sep 2020 05:23 PM PDT I have an interview coming up, and I have been noticing that people should go over concepts like Graph search, recursion, sorting , and etc. Will I be strictly tested on back end programming languages? I included frontend frameworks like Angular on my resume and I will go over it, but would it be better to just focus on these concepts? [link] [comments]  |
| Posted: 17 Sep 2020 02:05 PM PDT I would like to introduce the "tsBNgen" a Python library to generate time series data according to arbitrary Bayesian network structure. paper: https://arxiv.org/abs/2009.04595 code: https://github.com/manitadayon/tsBNgen This is a model-based approach as opposed to GAN, which requires lots of data and is data-driven. [link] [comments]  |
| a level computer science textbooks Posted: 17 Sep 2020 02:08 PM PDT hi guys im doing a level computer science and i am in need of this book very desperately but i simply cant pay £36 for it can anybody send me a pdf link or anything that will help please i am desperate [link] [comments]  |
| irtualozation and its concepts Posted: 17 Sep 2020 04:49 AM PDT |
| Posted: 17 Sep 2020 05:08 AM PDT |
![[link]](https://i.redd.it/r2mk54zd4un51.jpg){kind=link}
![[link]](https://i.redd.it/tjxn0fhz3un51.jpg){kind=link}
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