What Skills Does the New National Python Certification Demand?

Python has become increasingly popular and is receiving strong support at the national level in China, now being incorporated into the NCRE (National Computer Rank Examination) alongside Java, C, and C++.

The first official Python certification exam is scheduled for September this year, and passing it grants a nationally recognized Level‑2 computer certification.

Basic Requirements 1. Master the basic syntax rules of the Python language. 2. Be familiar with at least two standard Python libraries. 3. Know at least two third‑party Python libraries and understand how to obtain and install them. 4. Be able to read and analyze Python programs. 5. Proficiently use the IDLE development environment and be able to convert scripts into executable programs. 6. Understand the major third‑party libraries in Python’s ecosystem (including but not limited to web crawling, data analysis, data visualization, machine learning, and web development). Exam Content I. Basic Python Syntax Elements 1. Core syntax components: indentation, comments, variables, naming, reserved words, data types, assignment statements, and references. 2. Basic input/output functions: input() , eval() , print() . 3. Code style conventions. 4. Characteristics of the Python language. II. Basic Data Types 1. Numeric types: integers, floating‑point numbers, and complex numbers. 2. Numeric operations: arithmetic operators and functions. 3. String type and formatting: indexing, slicing, and the basic format() method. 4. String operations: common operators and methods. 5. Type checking and conversion between types. III. Program Control Structures 1. Three kinds of control structures. 2. Branching structures: single, double, and multiple branches. 3. Loop structures: iteration loops, infinite loops, and the use of break and continue . 4. Exception handling: try ‑ except . IV. Functions and Code Reuse 1. Defining and using functions. 2. Function parameters: optional parameters, named parameters, and return values. 3. Variable scope: local and global variables. V. Composite Data Types 1. Concepts of composite data types. 2. List type: definition, indexing, slicing. 3. List operations: built‑in functions and methods. 4. Dictionary type: definition and indexing. 5. Dictionary operations: built‑in functions and methods. VI. Files and Data Formatting 1. File handling: opening, reading/writing, and closing files. 2. Data dimensions: one‑dimensional and two‑dimensional data. 3. Processing one‑dimensional data: representation, storage, and manipulation. 4. Processing two‑dimensional data: representation, storage, and manipulation. 5. Reading and writing CSV files for one‑ and two‑dimensional data. VII. Python Ecosystem 1. Standard libraries: turtle (required), random (required), time (optional). 2. Core built‑in functions. 3. Acquiring and installing third‑party libraries. 4. Converting scripts to executables using PyInstaller (required). 5. Third‑party libraries: jieba (required), wordcloud (optional). 6. A broad overview of the Python ecosystem, emphasizing libraries for web crawling, data analysis, text processing, visualization, GUI development, machine learning, web development, and game development.

Although the Level‑2 exam covers relatively basic material, it emphasizes data handling and AI‑related topics; passing it does not guarantee readiness for professional Python engineering roles, which require deeper study and practical experience.