Python Fast Track
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Python Fast Track

Python Fast Track


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About the Book

Python Fast Track: A Complete Guide to Rapidly Mastering and Applying Python Programming adopts a simplified writing style and provides clear explanations to ensure ease of understanding, making it an ideal resource for those new to Python. Starting with the basics, the book covers fundamental concepts such as variables, data types, printing and prompting, lists, dictionaries, tuples, control structure, functions, and object-oriented concepts. The book includes everything you need to understand and apply more advanced programming techniques such as file handling, exception handling, and regex. The book 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. Python Fast Track 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. For web development, the book covers Python back-end tasks with frameworks such as Django and Flask. Readers will learn how automation and scripting can become seamless with Python, and how to improve efficiency in various tasks such as error checking, file conversion, and data deduplication. Even beginners with no programming experience will learn to easily automate common computer tasks using Python and the applications provided in this book.


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Product Details
  • ISBN-13: 9780443338236
  • Publisher: Elsevier Science
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Width: 191 mm
  • ISBN-10: 044333823X
  • Publisher Date: 01 Jan 2025
  • Height: 235 mm
  • No of Pages: 250
  • Sub Title: A Complete Guide to Rapidly Mastering and Applying Python Programming


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