Docker for Data Science by Joshua Cook
Learn Docker infrastructure as code technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller. It is not uncommon for a real-world data set to fail to be easily managed.
Joshua Cook is a mathematician. He writes code in Bash, C, and Python and has done pure and applied computational work in geo-spatial predictive modeling, quantum mechanics, semantic search, and artificial intelligence. He also has 10 years experience teaching mathematics at the secondary and post-secondary level. His research interests lie in high-performance computing, interactive computing, feature extraction, and reinforcement learning. He is always willing to discuss orthogonality or to explain why Fortran is the language of the future over a warm or cold beverage.
| SKU | Unavailable |
| ISBN 13 | 9781484230114 |
| ISBN 10 | 1484230116 |
| Title | Docker for Data Science |
| Author | Joshua Cook |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | APress |
| Year published | 2017-08-25 |
| Number of pages | 257 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |