Python PCEP - Certified Entry-Level Programmer Course

The Python PCEP-30-02 exam is conducted by the "python institute".

This Python PCEP-30-02 certification Course(Video-based course) will guide you to pass the Python PCEPexam on 1st attempt and once you practice all the examples in this course, you will easily pass the exam with at least 90% marks.

There are more than 250 examples in this course that will serve you like Python PCEP Practice Tests. There are multiple PCEP quizzes to test your Knowledge. You can consider these quizzes as Python PCEP mock Tests. These PCEP mock exams or quizzes will give you a good idea of the actual exam.

The PCEP-30-02 certification exam has 30 questions distributed across 4 syllabus blocks, as mentioned below -

1. Exam Block #1: Computer Programming and Python Fundamentals (18%)

Objectives covered by the block: 7 exam items

Topics include:

• fundamental concepts: interpreting and the interpreter, compilation and the compiler, lexis, syntax, and semantics

• Python logic and structure: keywords, instructions, indentation, and comments

• literals: Boolean, integer, floating-point numbers, scientific notation, and strings

• numeral systems: binary, octal, decimal, and hexadecimal

• variables and naming conventions

• Basic PEP 8 recommendations

• numeric operators: **, *, /, %, //, +, -

• string operators: * and +

• assignment and shortcut operators

• unary and binary operators

• operator priorities and binding

• bitwise operators: ~, &, ^, |, <<, >>

• Boolean operators: not, and, or

• Boolean expressions

• relational operators: ==, !=, >, >=, <, <=

• floating-point accuracy

• type casting

• basic input and output using print(), input(), int(), and float()

• formatting print() output with sep= and end=

2. Exam Block #2: Control Flow – Conditional Blocks and Loops (29%)

Objectives covered by the block: 8 exam items

Topics include:

• conditional statements: if, if-else, if-elif, and if-elif-else

• multiple conditional statements

• nested conditional statements

• the pass instruction

• building loops using while, for, range(), and in

• iterating through sequences

• while-else and for-else

• nested loops and nested conditions

• controlling loop execution using break and continue

3. Exam Block #3: Data Collections – Tuples, Dictionaries, Lists, and Strings (25%)

Objectives covered by the block: 7 exam items

Topics include:

• lists: constructing vectors, indexing, slicing, and using len()

• list methods: append(), insert(), index(), and related methods

• list functions such as len() and sorted()

• the del instruction

• iterating through lists using for loops

• the in and not in operators

• list comprehensions

• copying and cloning lists

• lists inside lists: matrices and cubes

• tuples: indexing, slicing, building, and immutability

• tuples vs. lists: similarities and differences

• lists inside tuples and tuples inside lists

• dictionaries: building, indexing, adding and removing keys

• iterating through dictionaries, keys, and values

• checking whether a key exists

• dictionary methods: keys(), items(), and values()

• strings: constructing, indexing, slicing, and immutability

• escaping characters using \

• quotes and apostrophes inside strings

• multi-line strings

• basic string functions and methods

4. Exam Block #4: Functions and Exceptions (28%)

Objectives covered by the block: 8 exam items

Topics include:

• defining and invoking user-defined functions and generators

• the return keyword and returning results

• the None keyword

• recursion

• parameters vs. arguments

• positional, keyword, and mixed argument passing

• default parameter values

• name scopes, name hiding/shadowing, and the global keyword

• Python built-in exception hierarchy:

• BaseException

• Exception

• SystemExit

• KeyboardInterrupt

• abstract exceptions

• ArithmeticError

• LookupError

• IndexError

• KeyError

• TypeError

• ValueError

• basics of Python exception handling:

• try-except

• ordering except branches

• propagating exceptions through function boundaries

• delegating responsibility for handling exceptions

PCEP Certification: Exam Information

• PCEP Certification: Exam Information

• Exam Name: PCEP™ - Certified Entry-Level Python Programmer

• Current Exam Code: PCEP-30-02

• Status: Active, scheduled for retirement on August 31, 2026

• Next Version: PCEP-30-03 is currently in development

• Exam Level: Entry

• Prerequisites: None

• Duration: 40 minutes exam + approximately 5 minutes for NDA/tutorial

• Number of Questions: 30

• Format: Single-select and multiple-select questions, drag & drop, gap fill, sort, code fill, code insertion, interactive and scenario-based items

• Passing Score: 70%

• Exam Languages: English, Spanish, Portuguese, Polish, and Japanese

• Course Language: English

• Exam Price: From USD 69, based on the current Python Institute/OpenEDG listing

• Delivery Channel: OpenEDG Testing Service – TestNow™

• Testing Policies: Available on the official Python Institute/OpenEDG website

• Exam Syllabus: Available on the official Python Institute PCEP syllabus page

PCEP certification is a professional Entry-Level Python Programmer Exam to test a person’s ability to understand basic coding related to the Fundamentals of Python Programming. The candidate should have basic knowledge of basic Python Programming, its syntax, semantics, and basic concepts like the following -

• Basic concepts like literals, print(), input(), numbers, strings, etc.

• Basic knowledge of operators - unary, binary, bitwise, boolean, relational operators, simple strings, data type, evaluation, I-O, etc.

• Control Flow - Loops, If, While, for, break, continue, pass

• Basic data collections - Lists, tuples, dictionaries, strings

• Functions and Exceptions – arguments, parameters, recursion, scope, global keyword, positional and keyword arguments, None, return, yield, default parameters, exception hierarchy, and basic try-except handling.

Other benefits of the PCEP course

• This course will strengthen your Python fundamentals, which can help you write small Python programs and projects with more confidence.

• This course can also help you check whether you are ready to move toward PCAP-level Python preparation.