Python Data Analytics : With Pandas, NumPy, and Matplotlib

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 revision is fully updated with new content on social media dat...

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Detalles Bibliográficos
Autor principal: Nelli, Fabio. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2018.
Edición:2nd ed. 2018.
Materias:
Python (Computer program language).
Big data.
Artificial intelligence.
Python.
Big Data.
Artificial Intelligence.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630399606719
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.

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