Book description
- Understand the core concepts of data analysis and the Python ecosystem
- Go in depth with pandas for reading, writing, and processing data
- Use tools and techniques for data visualization and image analysis
- Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch
Table of contents
- Cover
- Front Matter
- 1. An Introduction to Data Analysis
- 2. Introduction to the Python 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 the IPython Notebook
- 12. Recognizing Handwritten Digits
- 13. Textual Data Analysis with NLTK
- 14. Image Analysis and Computer Vision with OpenCV
- Back Matter
Product information
- Title: Python Data Analytics: With Pandas, NumPy, and Matplotlib
- Author(s):
- Release date: September 2018
- Publisher(s): Apress
- ISBN: 9781484239131
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