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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pcep-certification-practice-tests-python/
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Coursera 上的《PCEP 认证练习题 Python》课程旨在帮助学员为 PCEP（Certified Entry-Level Python Programmer）认证考试做好准备，目标是通过一次考试即可获得该专业认证。 **PCEP 认证价值：** 该认证证明了持证者对 Python 语言的熟悉程度，对于寻求或希望在入门级 Python 开发岗位上取得成功的个人非常有帮助，相关职位的年薪范围约为 57,000 至 80,000 美元。 **课程内容涵盖 PCEP-30-02 考试大纲的以下核心领域：** 1. **计算机编程与 Python 基础：** * 理解核心编程术语和定义。 * 掌握 Python 的逻辑和结构。 * 学习如何引入字面量和变量，并使用不同的数字系统。 * 能够选择合适的运算符和数据类型来解决问题。 * 掌握控制台输入/输出操作。 2. **控制流 - 条件语句和循环：** * 使用 `if` 语句进行决策和分支控制。 * 执行不同类型的迭代。 3. **数据集合 - 元组、字典、列表和字符串：** * 使用列表收集和处理数据。 * 使用元组收集和处理数据。 * 使用字典收集和处理数据。 * 进行字符串操作。 4. **函数和异常：** * 通过函数实现代码的分解。 * 组织函数与其环境之间的交互。 * 理解 Python 内置的异常层级结构。 * 掌握 Python 异常处理的基础知识。 总之，本课程通过一系列练习题，全面覆盖了 PCEP 认证考试所需的关键 Python 知识点，帮助学员建立坚实的 Python 编程基础，并自信地迎接认证考试。
The practice tests within this course contain questions that will allow you to prepare for the PCEP exam, in other terms, you can become a Certified Entry-Level Python Programmer in 1 attempt. PCEP - Certified Entry-Level Python Programmer certification is a professional credential that measures the test-taker's ability to accomplish coding problems related to the essentials of programming in the Python language.Why take the PCEP Exam?An individual should take the Certified Entry-Level Python Programmer certification because it demonstrates their familiarity in the language of Python and can aid the person in trying to acquire or thrive in an entry-level python development job. ($57,000 to $80,000 salary for entry-level jobs)The questions in this exam come from the following curriculum (According to PCEP-30-02):1. Computer Programming and Python Fundamentals:Understanding fundamental terms and definitionsUnderstanding Python's logic and structureAbility to introduce literals and variables into code and use different numeral systemsAbility to choose operators and data types adequate to a problemPerforming Input/Output console operations2. Control Flow - Conditional Blocks and LoopsMake decisions and branch the flow with the if instructionPerform different types of iterations3. Data Collections - Tuples, Dictionaries, Lists, and StringsCollect and process data using listsCollect and process data using tuplesCollect and process data using dictionariesOperate with strings4. Functions and ExceptionsDecomposing code using functionsOrganizing interaction between the function and its environmentUnderstanding the Python Built-In Exception HierarchyUnderstanding the Basics of Python Exception Handling
