The Resource Python Data Analytics : With Pandas, NumPy, and Matplotlib, by Fabio Nelli, (electronic resource)

Python Data Analytics : With Pandas, NumPy, and Matplotlib, by Fabio Nelli, (electronic resource)

Label
Python Data Analytics : With Pandas, NumPy, and Matplotlib
Title
Python Data Analytics
Title remainder
With Pandas, NumPy, and Matplotlib
Statement of responsibility
by Fabio Nelli
Creator
Contributor
Author
Author
Provider
Subject
Language
eng
Summary
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 data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Second Edition is an invaluable reference with its examples of storing, accessing, and analyzing data
http://library.link/vocab/creatorName
Nelli, Fabio
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
Yvq-9xQrDsI
Image bit depth
0
LC call number
QA76.73.P98
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
SpringerLink
http://library.link/vocab/subjectName
  • Python (Computer program language)
  • Big data
  • Electronic data processing
  • Python
  • Big Data
  • Computing Methodologies
Label
Python Data Analytics : With Pandas, NumPy, and Matplotlib, by Fabio Nelli, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Edition
2nd ed.
Extent
XIX, 569 p. 648 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9781484239131
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4842-3913-1
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-1-4842-3913-1
Label
Python Data Analytics : With Pandas, NumPy, and Matplotlib, by Fabio Nelli, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Edition
2nd ed.
Extent
XIX, 569 p. 648 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9781484239131
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4842-3913-1
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-1-4842-3913-1

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