| 000 | 02596nam a22003137a 4500 | ||
|---|---|---|---|
| 005 | 20260820003554.0 | ||
| 008 | 260820b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9798868812385 | ||
| 041 | _aeng | ||
| 082 |
_a005.133 _bT24 JOH |
||
| 100 |
_aJohansson, Robert _929001 |
||
| 245 |
_aNumerical Python : _bscientific computing and Data Science applications with Numpy, SciPy and Matplotlib / _cRobert Johansson |
||
| 250 | _a3rd. | ||
| 260 |
_aNew Delhi : _bApress, _c2024. |
||
| 300 | _axx, 492p. | ||
| 520 | _aLearn how to leverage the scientific computing and data analysis capabilities of Python, its standard library, and popular open-source numerical Python packages like NumPy, SymPy, SciPy, matplotlib, and more. This book demonstrates how to work with mathematical modeling and solve problems with numerical, symbolic, and visualization techniques. It explores applications in science, engineering, data analytics, and more. Numerical Python, Third Edition, presents many case study examples of applications in fundamental scientific computing disciplines, as well as in data science and statistics. This fully revised edition, updated for each library's latest version, demonstrates Python's power for rapid development and exploratory computing due to its simple and high-level syntax and many powerful libraries and tools for computation and data analysis. After reading this book, readers will be familiar with many computing techniques, including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling, and machine learning. | ||
| 520 | _aWhat You'll Learn: • Work with vectors and matrices using NumPy • Review Symbolic computing with SymPy • Plot and visualize data with Matplotlib • Perform data analysis tasks with Pandas and SciPy • Understand statistical modeling and machine learning with statsmodels and scikit-learn • Optimize Python code using Numba and Cython | ||
| 650 | 4 |
_aPython (Computer program language) _923127 |
|
| 650 | 4 |
_aNumerical analysis _xData processing _929002 |
|
| 650 | 4 |
_aScientific computing _929003 |
|
| 650 | 4 |
_aData science _927317 |
|
| 650 | 4 |
_aNumerical methods _923505 |
|
| 650 | 4 |
_aMathematical software _929004 |
|
| 650 | 4 |
_aData processing _926121 |
|
| 650 | 4 |
_aMachine learning _922944 |
|
| 650 | 4 |
_aStatistics _xData processing _923446 |
|
| 650 | 4 |
_aComputer graphics _923778 |
|
| 942 | _cBK | ||
| 999 |
_c39281 _d39281 |
||