Fundraising September 15, 2024 – October 1, 2024 About fundraising

Testing In Python: Robust Testing For Professionals

Main
Computers - Networking
Testing In Python: Robust Testing For...

Testing In Python: Robust Testing For Professionals

Noah Gift, Alfredo Deza

0 / 0

How much do you like this book?

What’s the quality of the file?

Download the book for quality assessment

What’s the quality of the downloaded files?

Categories:

Computers - Networking

Year:

2020

Publisher:

Pragmatic AI Solutions

Language:

english

ISBN 10:

8616960643

ISBN 13:

9798616960641

File:

EPUB, 15.78 MB

IPFS:

,

english, 2020

Read Online

Conversion to is in progress

Conversion to is failed

You may be interested in

Noah Gift & Alfredo Deza [Noah Gift] — Python Command Line Tools

Edcorner Learning — 77 Python Advanced Programming Exercises

Brian Okken — Python Testing with pytest

Paul Orland — Math for Programmers: 3D graphics, machine learning, and simulations with Python MEAP V10

Test, Jason — PYTHON FOR BEGINNERS: A Crash Course Guide for Machine Learning and Web Programming. Learn a Computer Language in Easy Steps with Coding Exercises.

Venelin Valkov — Hacker's Guide to Machine Learning with Python

Walsh, Conley — Python for Beginners : An Essential Guide to Easy Learning with Basic Exercises : Python programming Crash Course for Data Analysis and for Beginner Hackers

Matthew Python — Programming for Beginners 2 Books in 1: Linux for Beginners SQL for Beginners

Bresler, Daniel — Learn Python: The Crash Course for Beginners to Learn Python Coding Well in 1 Week with Hands-On Exercises

Mastery, White Belt — Python Programming for beginners: Learn Python in a step by step approach, Complete practical crash course to learn Python coding

Jason Test — PYTHON FOR DATA SCIENCE: Guide to computer programming and web coding. Learn machine learning, artificial intelligence, NumPy and Pandas packages for data analysis. Step-by-step exercises included.

Gábor Szabó — 1000 Python Examples

Hyun-Seok Son — Linear Algebra Coding with Python: Python's Application for Linear Algebra

Phillips, Dan — Python Programming: Learn the Ultimate Strategies to Master Programming and Coding Quickly. Follow Practical Examples, Discover Machine Learning and Start Reading Data Analysis Like A Pro

Gábor-Szabó — 1000 Examples Programming In Python

Michael Driscoll — Creating GUI Applications with wxPython

David Mertz — Text processing in Python

Noah Gift, Jeremy Jones — Python for Unix and Linux System Administration

Patrick Viafore — Robust Python

Noah Gift, Alfredo Deza — Practical MLOps: Operationalizing Machine Learning Models

Laura Cassell, Alan Gauld — Python Projects

Mark Pilgrim — Dive Into Python 3 (Books for Professionals by Professionals)

Gayathri Rajagopalan — A Python Data Analyst’s Toolkit: Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics

Ashwin Pajankar — Python Unit Test Automation: Automate, Organize, and Execute Unit Tests in Python

Harry J. W. Percival — Test-Driven Development with Python: Obey the Testing Goat: Using Django, Selenium, and JavaScript

Miguel Grinberg — Flask Web Development: Developing Web Applications with Python

Noah Gift, Kennedy Behrman, Alfredo Deza, Grig Gheorghiu — Python for DevOps: Learn Ruthlessly Effective Automation

Lee Copeland — A Practitioner's Guide to Software Test Design

Julien Danjou — Serious Python: Black-Belt Advice on Deployment, Scalability, Testing, and More

Reuven M. Lerner — Python Workout: 50 Essential Exercises (MEAP Early Access v03)

Joshua S. Ponelat, Lukas L. Rosenstock — Designing APIs with Swagger and OpenAPI (MEAP V04)

Dennis Byrne — Full Stack Python Security: Cryptography, TLS, And Attack Resistance

Brian Okken — Python Testing with pytest: Simple, Rapid, Effective, and Scalable

Brian Okken — Python Testing with pytest: Simple, Rapid, Effective, and Scalable

Jason C McDonald — Dead Simple Python: Idiomatic Python for the Impatient Programmer

Unmesh Gundecha — Learning Selenium Testing Tools with Python

Dan Toomey — Learning Jupyter

Benjamin Baka — Python Data Structures and Algorithms

Greg L. Turnquist & Bhaskar N. Das — Python Testing Cookbook: Easy solutions to test your Python projects using test-driven development and Selenium, 2nd Edition

Molina, Alessandro — Modern Python standard library cookbook : over 100 recipes to fully leverage the features of the standard library in Python

Bruno Oliveira — Pytest quick start guide : write better Python code with simple and maintainable tests

Daniel Arbuckle — Python Testing Beginner's Guide

Most frequently terms