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Python Programming Language

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May 11, 2024 3 minute read

Python Programming Language™ is a general-purpose, interpreted, high-level programming language that emphasizes code readability and beginner-friendliness. Python was created by Guido van Rossum and first released on December 3, 1989. Python has a simple syntax that makes it easy for beginners to learn, as well as a wide array of libraries and frameworks that make it suitable for a variety of projects. Python is commonly used in web development, data science, machine learning, and many other fields.

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Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python Programming Language.
Written by an experienced Python developer, this book delves into advanced Python concepts, idioms, and best practices. Recommended for those seeking a deeper understanding of Python's capabilities.
Authored by the creator of the Pandas library, this book provides a comprehensive overview of data manipulation and analysis techniques using Python. Highly relevant for data scientists and those working with large datasets.
This beginner-friendly guide provides a comprehensive overview of Python, covering essential concepts, projects, and real-world examples. Perfect for those new to programming or looking to improve their Python skills.
Provides a practical and in-depth exploration of Python's extensive standard library, showcasing its modules and functions through real-world examples. Highly relevant for experienced Python developers seeking to utilize the library effectively.
This practical cookbook provides a collection of recipes and solutions to common programming problems in Python. Suitable for experienced Python developers seeking efficient and elegant solutions.
Using a unique and engaging approach, this book teaches Python concepts through interactive exercises and visual aids, making it suitable for both beginners and experienced learners.
Focusing on practical applications, this book guides readers in automating everyday tasks and processes using Python. Ideal for learners interested in using Python for automation and scripting.
Uses a unique visual approach to explain algorithms and data structures. Suitable for beginners and those seeking a deeper understanding of algorithm design and analysis.
This textbook provides a solid foundation in computer science principles and programming concepts using Python. Suitable for both beginners and students pursuing a degree in computer science.
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