Python for Experienced Java Developers. This item is unavailable.
Language: English
Published by Independently published, 2024
- Softcover
- Used
Unavailable
Softcover
Condition: Used - Very good
£ 2.92
Item description from seller
Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Seller Inventory # M0B0D6MB9XBR-V
- Title
- Python for Experienced Java Developers
- Author
- Richter, Dr. Jörg
- Publisher
- Independently published
- Publication year
- 2024
- Condition
- very good
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798327682344
Are you an experienced Java developer looking to swiftly transition into Python without wading through basic programming concepts? "Python for Experienced Java Developers" is your comprehensive guide to mastering Python with your existing knowledge of object-oriented and functional programming. Skip the lengthy introductions and dive straight into the core differences and advanced techniques that set Python apart.
In this collaborative effort between myself and ChatGPT, I've distilled the essentials and advanced topics necessary for proficient Java developers to become adept in Python. Having been in your shoes, I crafted this book to address the specific needs and challenges you might face.
Topics Covered:
In this collaborative effort between myself and ChatGPT, I've distilled the essentials and advanced topics necessary for proficient Java developers to become adept in Python. Having been in your shoes, I crafted this book to address the specific needs and challenges you might face.
Topics Covered:
- Setting Up Your Development Environment: From installing Python and selecting an IDE to creating your first project.
- The Python Language: Detailed syntax comparisons with Java, data types, control flow, and functions.
- Object-Oriented Programming: Classes, inheritance, multiple inheritance, and access modifiers in Python.
- Python’s Data Structures: In-depth look at lists, tuples, dictionaries, sets, iterators, and context managers.
- Exceptions: Standard and custom exception handling.
- Basic File Handling: Reading, writing, and handling files with exceptions.
- Functional Programming: Lambda expressions, higher-order functions, and first-class functions.
- Managing Python Environments: Modules, packages, virtual environments, and managing dependencies.
- Advanced Python Techniques: Writing test code, parallelism, concurrency, HTTP requests, type hinting, and meta-programming.
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