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...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
New York, NY :
Apress,
[2018]
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Edición: | Second edition. |
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- An introduction to data analysis
- Introduction to the Python world
- The NumPy library
- The pandas library : an introduction
- Pandas : reading and writing data
- Pandas in depth : data manipulation
- Data visualization with matplotlib
- Machine learning with scikit-learn
- Deep learning with TensorFlow
- An example : meteorological data
- Embedding the JavaScript D3 library in the IPython notebook
- Recognizing handwritten digits
- Textual data analysis with NLTK
- Image analysis and computer vision with OpenCV
- Appendix A: Writing mathematical expressions with LaTeX
- Appendix B: Open data sources.