第一章,“Python Scripting Essentials”,通过提供 Python 脚本的基本概念、安装第三方库、线程、进程执行、异常处理和渗透测试来打破僵局。 第二章,“Analyzing Network Traffic with Scapy”,介绍了一个数据包操作工具 Scapy,它允许用户嗅探、创建、发送和分析数据包。本章提供了使用 Scapy 进行网络流量调查、解析 DNS...
Summary Chapter 14. Fit and Finish – Unit Testing Packaging and Documentation Writing docstrings Writing unit tests with doctest Using the unittest library for testing Using other add-on test libraries Logging events and conditions Writing documentation with RST markup Organizing Python code Summary Chap...
knn.score(X_test, y_test) from sklearn.metrics import accuracy_score accuracy_score(y_test, y_pred) Regression Matrix: a. Mean Absolute Error: from sklearn.metrics import mean_absolute_error y_true = [3, -0.5, 2] mean_absolute_error(y_true, y_predict) b. Mean Squared Error: from...
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Summary Chapter 14. Fit and Finish – Unit Testing Packaging and Documentation Writing docstrings Writing unit tests with doctest Using the unittest library for testing Using other add-on test libraries Logging events and conditions Writing documentation with RST markup Organizing Python code...
The Problems with Using the Field Calculator, Join and Summary Statistics tools The field calculator is a great tool and easy to set up, but it has several
(page-tracker) $ docker stop redis-server redis-server (page-tracker) $ python -m pytest -v test/integration/ ⋮ === short test summary info === FAILED test/integration/test_app_redis.py::test_should_update_redis - ⮑redis.exceptions.ConnectionError: Error 111 connecting to localhost:6...
Alberto Boschetti Luca Massaron创作的工业技术小说《Python Data Science Essentials》,已更新章,最新章节:undefined。Fullyexpandedandupgraded,thelatesteditionofPythonDataScienceEssentialswillhelpyousucceedindatascienceoperationsusingthem…
Here’s a summary of their features:NumberDescriptionExamplesPython Data Type Integer Whole numbers 1, 2, 42, 476, -99999 int Floating-point Numbers with decimal points 1.0, 2.2, 42.09, 476.1, -99999.9 float Complex Numbers with a real part and an imaginary part complex(1, 2), complex(-...
Fullyexpandedandupgraded,thelatesteditionofPythonDataScienceEssentialswillhelpyousucceedindatascienceoperationsusingthemostcommonPythonlibraries.Thisbookoffersup-to-dateinsightintothecoreofPython,includingthelatestversionsoftheJupyterNotebook,NumPy,pandas,andscikit-learn.Thebookcoversdetailedexamplesandlargehybriddatasets...