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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-certification-exam-preparation-m/
课程评论：没有评论
**Python 认证考试准备课程摘要** 本课程旨在帮助您为 Python 认证考试做好充分准备。课程内容涵盖以下核心主题： * **数据类型和运算符操作 (20-25%)**: 学习识别 Python 中的各种数据类型（字符串、整数、浮点数、布尔值），理解运算符的优先级和用法（赋值、比较、逻辑、算术、身份、包含），并掌握数据类型之间的转换以及构建和操作数据结构（如索引和切片）。 * **控制流：决策与循环 (25-30%)**: 重点学习如何构建和分析使用分支语句（if、elif、else、嵌套和复合条件表达式）的代码段。同时，深入掌握迭代语句（while、for、break、continue、pass、嵌套循环以及包含复合条件表达式的循环）。 * **输入与输出操作 (20-25%)**: 学习执行文件输入输出操作（打开、关闭、读取、写入、追加、检查存在、删除、使用 `with` 语句）。此外，还将学习控制台输入输出操作（从控制台读取输入、打印格式化文本、使用命令行参数）。 * **代码文档与结构 (15-20%)**: 掌握使用注释和文档字符串来记录代码段。学习代码缩进、空格、注释和文档字符串的最佳实践，以及如何使用 `pydoc` 生成文档。还将学习函数定义（调用签名、默认值、返回值、`def`、`pass`）的构建与分析。 * **疑难解答与错误处理 (5-10%)**: 训练您分析、检测和修复代码中的各种错误，包括语法错误、逻辑错误和运行时错误。学习如何使用 `try`、`except`、`else`、`finally` 和 `raise` 语句来处理异常。 * **模块与工具操作 (1-5%)**: 学习使用内置模块（如 `math`、`datetime`、`io`、`sys`、`os`、`os.path`、`random`）执行基本操作，并利用这些模块解决复杂的计算问题。 **考试模式**: * **问题数量**: 40 道 * **考试时长**: 60 分钟 * **问题类型**: 选择题、拖放题和下拉列表选择题
These practice tests will cover the following syllabus.Exam Pattern:Number of Questions: 40Duration: 60 MinutesQuestions Type: Multiple Choice, Drag and Drop and Selection from drop down listSyllabus:Perform Operations using Data Types and Operators (20-25%)Evaluate an expression to identify the data type Python will assign to each variableIdentify str, int, float, and bool data typesPerform data and data type operationsConvert from one data type to another type; construct data structures; perform indexing and slicing operationsDetermine the sequence of execution based on operator precedenceAssignment; Comparison; Logical; Arithmetic; Identity (is); Containment (in)Select the appropriate operator to achieve the intended resultAssignment; Comparison; Logical; Arithmetic; Identity (is); Containment (in)Control Flow with Decisions and Loops (25-30%)Construct and analyze code segments that use branching statementsif; elif; else; nested and compound conditional expressionsConstruct and analyze code segments that perform iterationwhile; for; break; continue; pass; nested loops and loops that include compound conditional expressionsPerform Input and Output Operations (20-25%)Construct and analyze code segments that perform file input and output operationsOpen; close; read; write; append; check existence; delete; with statementConstruct and analyze code segments that perform console input and output operationsRead input from console; print formatted text; use of command line argumentsDocument and Structure Code (15-20%)Document code segments using comments and documentation stringsUse indentation, white space, comments, and documentation strings; generate documentation by using pydocConstruct and analyze code segments that include function definitionsCall signatures; default values; return; def; passPerform Troubleshooting and Error Handling (5-10%)Analyze, detect, and fix code segments that have errorsSyntax errors; logic errors; runtime errorsAnalyze and construct code segments that handle exceptionsTry; except; else; finally; raisePerform Operations Using Modules and Tools (1-5%)Perform basic operations using built-in modulesMath; datetime; io; sys; os; os.path; randomSolve complex computing problems by using built-in modulesMath; datetime; random
