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Introduction to the levels of Python exams
The Python exam is divided into the following levels: 1. Python basic certification: entry level; 2. Python program development certification: intermediate level; 3. Python development expert certification: advanced; 4. Certification in other specific fields. If you want to know more about python, you can read the articles below this topic.
How many levels are there in the Python exam?Python exams are divided into the following levels: 1. Python Basics Certification (PCEP): Entry level 2. Python Program Development Certification (PCDP): Intermediate 3. Python Development Expert Certification (PCDE): Advanced 4. Certifications in other specific fields ( e.g. data science, cybersecurity).
How many levels are there in the Python exam?There are four levels of Python exams, namely PCEP Beginner, PCAP Intermediate, PCEP Advanced and PCEP Expert, which correspond to different levels of Python skills. Among them, the junior exam mainly tests the basic knowledge of Python, the intermediate exam extends to object-oriented programming and other content, the advanced exam extends to database operations, data science and other fields, and the expert exam is further upgraded to advanced Python applications, artificial intelligence and other professional fields.
What language does python language belong to?The Python language is an interpreted high-level programming language. Its characteristics include: Interpreted language: the code does not need to be compiled and is executed line by line by the interpreter. High-level programming language: uses high-level abstract concepts, is highly readable, and easy to maintain. Dynamic typing: Variable type is determined at run time. Object-oriented: Supports object-oriented programming concepts. Scripting language: No compilation required, can be used for scripting and automating tasks. Extensive libraries: There are rich third-party libraries covering data science, machine learning and other fields.
Is it normal that python download is very slow?Slow Python download speeds may be normal for reasons including large file sizes, poor network connections, high server load, geographic differences, firewall settings, and insufficient system resources. Ways to optimize download speed include choosing a high-speed network, avoiding peak hours, using a download manager, adjusting firewall or proxy settings, turning off other downloads and checking system resources.
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