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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Nelli, Fabio (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2018.
Έκδοση:2nd ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.