Python Data Analytics With Pandas, NumPy, and Matplotlib
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This third edition is fully updated for the latest version of Pytho...
| Autor principal: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress
2023.
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| Edición: | 3rd ed. 2023. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009766139506719 |
Tabla de Contenidos:
- 1. An Introduction to Data Analysis
- 2. Introduction to the Python's World
- 3. The NumPy Library
- 4. The pandas Library-- An Introduction
- 5. pandas: Reading and Writing Data
- 6. pandas in Depth: Data Manipulation
- 7. Data Visualization with matplotlib
- 8. Machine Learning with scikit-learn
- 9. Deep Learning with TensorFlow
- 10. An Example - Meteorological Data
- 11. Embedding the JavaScript D3 Library in IPython Notebook
- 12. Recognizing Handwritten Digits
- 13. Textual data Analysis with NLTK
- 14. Image Analysis and Computer Vision with OpenCV
- Appendix A
- Appendix B.
