Python Fast Track: A Complete Guide to Rapidly Mastering and Applying Python Programming
Autor Sanjiban Sekhar Roy, Arnav Chouhan, Naman Kheraen Limba Engleză Paperback – 2 iun 2025
This great resource is created especially for those who want to apply Python for their research and professional work in scientific computing, data analysis and machine learning, including chapters on NumPy and Pandas, two of the most popular Python application libraries. It demonstrates how to effectively master key applications of Python such as web development, software creation, task automation, and data analysis. The book covers data analysis and machine learning tasks that greatly benefit from Python, thanks to libraries such as TensorFlow and Keras that enable efficient coding.
- Explains the core concepts of Python programming in a simplified way that is suitable for people who have little or no programming experience
- Incorporates a wide range of simple, step-by-step examples and illustrations to highlight fundamental concepts so readers can learn easily
- Provides practice exercises designed to expedite the learning process and provide hands-on application experience
- Offers a wide range of functionality, from basic processes to complex operations, including chapters on Pandas and NumPy, two of the most popular Python libraries for data analysis
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Specificații
ISBN-13: 9780443338236
ISBN-10: 044333823X
Pagini: 250
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
ISBN-10: 044333823X
Pagini: 250
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
Cuprins
1. Breaking down a python program. Keywords, variables, identifiers, comments, escape sequences
2. Data types in Python
3. Printing and Prompting how to print, how to prompt and take user input
4. Lists/Dictionaries/tuples
5. Control structures
6. Functions
7. OOPS in python
8. Files
9. Exception handling
10. Regex matching
11. Numpy
12. Pandas
2. Data types in Python
3. Printing and Prompting how to print, how to prompt and take user input
4. Lists/Dictionaries/tuples
5. Control structures
6. Functions
7. OOPS in python
8. Files
9. Exception handling
10. Regex matching
11. Numpy
12. Pandas