• Python Testing with pytest: Simple, Rapid, Effective, and Scalable

    Do less work when testing your Python code, but be just as expressive, just as elegant, and just as readable. The pytest testing framework helps you write tests quickly and keep them readable and maintainable - with no boilerplate code. Using a robust yet simple fixture model, it's just as easy to write small tests with pytest as it is to scale up to complex functional testing for applications, packages, and libraries. This book shows you how. For Python-based projects, pytest is the undeniable choice to test your code if you're looking for a full-featured, API-independent, flexible, and exten... [Read More]

    • ASIN: 1680502409
    • ASIN: 1680502409
    • ISBN: 9781680502404
    • Manufacturer: Pragmatic Bookshelf

  • Python: Best Practices to Programming Code with Python - eBook

    Are you tired of your Python code turning out wrong? Are you forever finding it difficult to read your code, to spot where the problems are because it is, quite frankly, a mess? Are you

    • UPC: 882253107

  • The Hitchhiker's Guide to Python : Best Practices for Development

    The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the

    • UPC: 51981698

  • Practical Web Scraping for Data Science : Best Practices and Examples with Python

    This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book

    • UPC: 716883063

  • Pro Python Best Practices : Debugging, Testing and Maintenance

    9781484222409

    • UPC: 55677975

  • Hands-On Restful API Design Patterns and Best Practices (Paperback)

    Hands-On RESTful API Design Patterns and Best

    • UPC: 400384077

  • Python Tutorial: Logging Basics - Logging to Files, Setting Levels, and Formatting

    Python Tutorial: Logging Advanced - Loggers, Handlers, and Formatters

    A guided tour of Python logging