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Python Programming: Problem Solving, Packages and Libraries

By: By: Material type: TextTextLanguage: English Publication details: Chennai: McGraw Hill Education (India) Private Limited, 2020Description: 546ISBN:
  • 9789353168001
Subject(s): DDC classification:
  • 005.133 (PYT) GUP
Summary: This textbook is meant for all interested in Python --- from beginners to those seeking to graduate to the advanced level --- researchers as well as professionals. Aspiring data analysts and data visualizers will find the book useful. Based on Python 3.x, the textbook covers the basics, essential components in understanding of Pythons and a dozen of Python libraries such as, NumPy, SciPy, SymPy, and Pandas. Each concept is explained with help of codes, solved examples, figures and screenshots followed by exhaustive chapter-end exercises. Advanced topics, such as, Matplotlib, mapping applications like Basemap and Folium, Natural Language Tool Kit (NLTK), Gensim and vector space model can be accessed online along with solutions to chapter-end questions, more assignments and PowerPoint Presentations.
List(s) this item appears in: New Arrivals for the Month of March 2023 - Computer Science and Data Science
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Book Book Alliance School of Liberal Arts 005.133 (PYT) GUP (Browse shelf(Opens below)) Available LA02266
Book Book Alliance School of Liberal Arts 005.133 (PYT) GUP (Browse shelf(Opens below)) Available LA01420
Total holds: 0

This textbook is meant for all interested in Python --- from beginners to those seeking to graduate to the advanced level --- researchers as well as professionals. Aspiring data analysts and data visualizers will find the book useful.
Based on Python 3.x, the textbook covers the basics, essential components in understanding of Pythons and a dozen of Python libraries such as, NumPy, SciPy, SymPy, and Pandas. Each concept is explained with help of codes, solved examples, figures and screenshots followed by exhaustive chapter-end exercises.
Advanced topics, such as, Matplotlib, mapping applications like Basemap and Folium, Natural Language Tool Kit (NLTK), Gensim and vector space model can be accessed online along with solutions to chapter-end questions, more assignments and PowerPoint Presentations.

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