Is it easy to take the Python Level 2 exam?

Students who want to take the Python Level 2 exam don’t have to worry too much about the difficulty of the exam. The exam content basically focuses on the basics of Python.

The following is the review content for the Python Level 2 exam, for reference only.

Exam method:

Computer-based exam, the exam lasts 120 minutes, and the full score is 100 points.

1. Question type and score value

Single choice question 40 points (including 10 points for the common basic knowledge part).

Operation questions 60 points (including basic programming questions and comprehensive programming questions).

2. Exam environment

Windows 7 operating system, Python 3.4.2 to Python 3.5.3 version recommended, IDLE development environment.

Exam content:

1. Basic syntax elements of Python language

1. Basic syntax elements of the program: format framework of the program, Indentation, comments, variables, naming, reserved words, data types, assignment statements, references.

2. Basic input and output functions: input(), eval(), print().

3. The writing style of the source program. 4. Features of Python language.

2. Basic data types

1. Numeric types: integer type, floating point type and complex number type.

2. Numeric type operations: numerical operation operators, numerical operation functions.

3. String type and formatting: indexing, slicing, basic format() formatting method.

4. String type operations: string operators, processing functions and processing methods.

5. Type judgment and conversion between types.

3. Program control structure

1. Three control structures of the program.

2. The branch structure of the program: single branch structure, two branch structure, multi-branch structure.

3. Loop structure of the program: traversal loop, infinite loop, break and continue loop control.

4. Program exception handling: try-except.

4. Function and code reuse

1. Definition and use of functions.

2. Function parameter passing: optional parameter passing, parameter name passing, function return value.

3. Scope of variables: local variables and global variables.

5. Combined data types

1. Basic concepts of combined data types.

2. List type: definition, index, slice.

3. List type operations: list operation functions, list operation methods.

4. Dictionary type: definition, index.

5. Dictionary type operations: dictionary operation functions and dictionary operation methods.

6. File and data formatting

1. File usage: file opening, reading, writing and closing.

2. Dimensions of data organization: one-dimensional data and two-dimensional data.

3. One-dimensional data processing: representation, storage and processing.

4. Processing of two-dimensional data: representation, storage and processing.

5. Read and write one-dimensional data files in CSV format.

7. Python computing ecology

1. Standard library: turtle library (required), random library (required), time library (optional).

2. Basic Python built-in functions.

3. Obtain and install third-party libraries.

4. Third-party library that converts script programs into executable programs: PyInstaller library (required).

5. Third-party libraries: jieba library (required), wordcloud library (optional).

6. The broader Python computing ecosystem only requires knowledge of the names of third-party libraries, not limited to the following fields: web crawlers, data analysis, text processing, data visualization, user graphical interfaces, machine learning , Web development, game development, etc.

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