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Can I read Getting Started with Python : Understand Key Data Structures and Use Python in Object-oriented Programming on EtoBox?
Getting Started with Python : Understand Key Data Structures and Use Python in Object-oriented Programming by Fabrizio Romano, Benjamin Baka, Dusty Phillips is a nonfiction available to read on EtoBox.
What is Getting Started with Python : Understand Key Data Structures and Use Python in Object-oriented Programming about?
Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information Key Features Turn your designs into working software by learning the Python syntax Write robust code with a solid understanding of Python data structures Understand when to use the functional or the OOP approach Book Description This Learning Path helps you get comfortable with the world of Python. It starts with a thorough and practical introduction to Python. You'll quickly start writing programs, building websites, and working with data by harnessing Python's renowned data science libraries. With the power of linked lists, binary searches, and sorting algorithms, you'll easily create complex data structures, such as graphs, stacks, and queues. After understanding cooperative inheritance, you'll expertly raise, handle, and manipulate exceptions. You will effortlessly integrate the object-oriented and not-so-object-oriented aspects of Python, and create maintainable applications using higher level design patterns. Once you've covered core topics, you'll understand the joy of unit testing and just how easy it is to
Who reads Getting Started with Python : Understand Key Data Structures and Use Python in Object-oriented Programming?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Fabrizio Romano, Benjamin Baka, Dusty Phillips
- Publisher
- Packt Publishing, Limited
- Published
- 2019
- Language
- EN
- ISBN
- 9781838551919
- Category
- nonfiction
- Subjects
- Computer Science, Language Learning, Programming
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