Robust Python: Write Clean and Maintainable Code,Used
Robust Python: Write Clean and Maintainable Code,Used

Robust Python: Write Clean and Maintainable Code,Used

SKU: SONG1098100662 In Stock
Sale price$52.52 Regular price$75.03
Save $22.51
Quantity
Add to wishlist
Add to compare
Shipping & Tax will be calculated at Checkout.
Delivery time: 3-5 business days (USA)
Delivery time: 8-12 business days (International)
15 days return policy
Payment Options

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

Does it seem like your Python projects are getting bigger and bigger? Are you feeling the pain as your codebase expands and gets tougher to debug and maintain? Python is an easy language to learn and use, but that also means systems can quickly grow beyond comprehension. Thankfully, Python has features to help developers overcome maintainability woes.In this practical book, author Patrick Viafore shows you how to use Pythons type system to the max. Youll look at userdefined types, such as classes and enums, and Pythons type hinting system. Youll also learn how to make Python extensible and how to use a comprehensive testing strategy as a safety net. With these tips and techniques, youll write clearer and more maintainable code. Learn why types are essential in modern development ecosystems Understand how type choices such as classes, dictionaries, and enums reflect specific intents Make Python extensible for the future without adding bloat Use popular Python tools to increase the safety and robustness of your codebase Evaluate current code to detect common maintainability gotchas Build a safety net around your codebase with linters and tests

Shipping & Returns

Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.

Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.

Shipping & Returns

Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.

Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.

Warranty

We provide a 2-year limited warranty, from the date of purchase for all our products.

If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.

This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

Warranty

We provide a 2-year limited warranty, from the date of purchase for all our products.

If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.

This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

Secure Payment

Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.

We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.

Secure Payment

Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.

We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.

Related Products

You may also like

Frequently Asked Questions

  • Q: What is the main focus of 'Robust Python: Write Clean and Maintainable Code'? A: The book focuses on helping developers utilize Python's type system effectively to write cleaner, more maintainable code, addressing common challenges associated with expanding codebases.
  • Q: Who is the author of the book and what is their background? A: The author is Patrick Viafore, who brings expertise in software development and is well-versed in Python programming practices.
  • Q: What is the publication date of this book? A: The book was published on August 17, 2021.
  • Q: How many pages does 'Robust Python' have? A: The book contains a total of 378 pages.
  • Q: What edition of the book is available? A: This book is available in its first edition.
  • Q: What type of binding does the book feature? A: The book is bound in paperback.
  • Q: Is this book suitable for beginners in Python? A: While the book provides valuable insights for all levels, it is particularly beneficial for those with some experience in Python looking to improve their code maintainability.
  • Q: Does the book cover testing strategies for Python code? A: Yes, the book includes a comprehensive testing strategy to help developers build a safety net around their codebase.
  • Q: What are some key topics covered in the book? A: Key topics include Python's type system, user-defined types, type hinting, extensibility, and maintainability best practices.
  • Q: Can this book help with debugging Python code? A: Yes, the book offers techniques and strategies aimed at reducing debugging difficulties by promoting clearer and more maintainable code.