Python PCEP: Certified Entry-Level Python Programmer [2024]

Get certified in Python! PCEP-30-02 is a Python certification program offered by the Python Institute.

These PCEP-30-02 Practice Exams provide you with realistic test questions and provide interactive, question-level feedback. This Python certification course will give you a solid foundation for further study and career advancement in the field of programming and software development. Don’t wait! Become a Certified Entry-Level Python Programmer! This Python certification coursewill help you for sure!

This course will prepare you for what it is like to take the PCEP-30-02. The course consists of 6 Practice Tests with 480 uniquequestions from all knowledge areas that will prepare you to pass the PCEP-30-02exam at the Python Institute. ! Every question has an explanation with “Try It Yourself Code” that you can run to test the code. (The download link with code examples will be in every practice test)

Why should you learn from me?

Not only that I am a University professor and have more than 20 years in the IT field and about 15 years in education, but I am also a certified Entry-Level Python Programmerand have already passed an exam I am teaching you. You can verify my certification on the OpenEDG certificate verification pageif you enter this id: QUh3.4bG9.uQSd

The first three mock tests simulate the real PCEP-30-02 exam and have precisely the same number of questions as the real exam, and the same proportion of questions from different areas.This testallows test candidates to get a good idea of the questions that will appear on the exam and help them understand how these are scored and weighted across the exam sections. The real exam lasts 45 minutes and consists of 30questions, and the passing score is 70%. You have 3 mock exams that are very alike the real exam.

Additional unique 480questions you can find in the other three tests! You’ll have a total of 480 questionsto learn and practice for the exam!!! This course is regularly updated and enhanced!

UPDATES:
In September 2023, 50new questions were added. Now the course has 480questions!

In June 2024, the course Python PCEP: Certified Entry-Level Python Programmer [2024] was restructured to enhance your learning experience! It has 3 completely new mock tests,  each with 30 new questions, closely mirroring the real exam.

All questions are from four domains of the exam, so you can take and pass the actual PCEP-30-02 Certification Exam with confidence and become a Certified Entry-Level Python Programmer!

The practice tests cover all the topics in the new PCEP-30-02 Syllabus – Python Institute

• Computer Programming and Python Fundamentals (18%)

  1. Understand fundamental terms and definitions

     1. interpreting and the interpreter, compilation, and the compiler

     2. lexis, syntax, and semantics

  2. Understand Python’s logic and structure

     1. keywords

     2. instructions

     3. indentation

     4. comments

  3. Introduce literals and variables into code and use different numeral systems

     1. Boolean, integers, floating-point numbers

     2. scientific notation

     3. strings

     4. binary, octal, decimal, and hexadecimal numeral systems

     5. variables

     6. naming conventions

     7. implementing PEP-8 recommendations

  4. Choose operators and data types adequate to the problem

     1. numeric operators: ** * / % // + –

     2. string operators: * +

     3. assignment and shortcut operators

     4. unary and binary operators

     5. priorities and binding

     6. bitwise operators: ~ & ^ | << >>

     7. Boolean operators: not, and, or

     8. Boolean expressions

     9. relational operators ( == != > >= < <= )

     10. the accuracy of floating-point numbers

     11. type casting

  5. Perform Input/Output console operations

     1. the print() and input() functions

     2. the sep= and end= keyword parameters

     3. the int() and float() functions

• Control Flow – Conditional Block and Loops (29%)

  1. Make decisions and branch the flow with the if instruction

     1. conditional statements: if, if-else, if-elif, if-elif-else

     2. multiple conditional statements

     3. nesting conditional statements

  2. Perform different types of iterations

     1. the pass instruction

     2. building loops with while, for, range(), and in

     3. iterating through sequences

     4. expanding loops with while-else and for-else

     5. nesting loops and conditional statements

     6. controlling loop execution with break and continue

• Data Collections – Tuples, Dictionaries, Lists, and Strings (25%)

  1. Collect and process data using lists

     1. constructing vectors

     2. indexing and slicing

     3. the len() function

     4. list methods: append(), insert(), index(), etc.

     5. functions: len(), sorted()

     6. the del instruction

     7. iterating through lists with the for loop

     8. initializing loops

     9. the in and not in operators

     10. list comprehensions

     11. copying and cloning

     12. lists in lists: matrices and cubes

  2. Collect and process data using tuples

     1. tuples: indexing, slicing, building, immutability

     2. tuples vs. lists: similarities and differences

     3. lists inside tuples and tuples inside lists

  3. Collect and process data using dictionaries

     1. dictionaries: building, indexing, adding and removing keys

     2. iterating through dictionaries and their keys and values

     3. checking the existence of keys

     4. methods: keys(), items(), and values()

  4. Operate with strings

     1. constructing strings

     2. indexing, slicing, immutability

     3. escaping using the character

     4. quotes and apostrophes inside strings

     5. multi-line strings

     6. basic string functions and methods

• Functions and Exceptions (28%)

  1. Decompose the code using functions

     1. defining and invoking user-defined functions and generators

     2. the return keyword, returning results

     3. the None keyword

     4. recursion

  2. Organize interaction between the function and its environment

     1. parameters vs. arguments

     2. positional, keyword, and mixed argument passing

     3. default parameter values

     4. name scopes, name hiding (shadowing), and the global keyword

  3. Python Built-In Exceptions Hierarchy

     1. BaseException

     2. Exception

     3. SystemExit

     4. KeyboardInterrupt

     5. abstract exceptions

     6. ArithmeticError

     7. LookupError

     8. IndexError

     9. KeyError

     10. TypeError

     11. ValueError

  4. Basics of Python Exception Handling

     1. try-except / the try-except Exception

     2. ordering the except branches

     3. propagating exceptions through function boundaries

     4. delegating responsibility for handling exceptions

Why should you learn Python?

Did you know that Python has been used to build YouTube, Instagram, Dropbox and Reddit? But, more to that – Python is extremely easy to learn and use. Although it is a high-level, interpreted programming language its syntax is simple and easy to read. On the other hand, you can do a lot of things in Python, such as web and internet development, scientific and numeric computing, data analysis, artificial intelligence, software development, and more. Python has a large and supportive community, with a wealth of libraries and frameworks available. Python’s design philosophy emphasizes code readability and simplicity, making it a popular choice among developers. Learning Python and getting certified in it may skyrocket your career!

Here are some reasons why learning Python can be beneficial:

1. Easy to Learn and Use: Python has a simple and clean syntax, making it easy for beginners to learn and use. Additionally, Python has an extensive standard library, which makes it a powerful tool for building complex applications with minimal code.

2. Versatile: Python is a versatile language that can be used for a wide range of applications, such as web development, machine learning, data analysis, scientific computing, game development, and more. It is widely used in scientific research, data science, finance, and education.

3. Large Community and Support: Python has a large and active community of developers, which provides excellent support and resources for beginners and experts alike. The Python community has contributed to a wide range of libraries and frameworks that are available for free, making it easier for developers to build powerful applications.

4. High Demand in the Job Market: Python is one of the most popular programming languages used today, and its popularity is increasing every day. Learning Python can help you build a successful career in various fields, including software development, data science, machine learning, and web development.

Some famous applicationsthat were built using Python are:

1. YouTube: YouTube is the world’s largest video-sharing platform, and its backend is entirely written in Python.

2. Instagram: Instagram, one of the most popular social media platforms today, was built using Python.

3. Dropbox: Dropbox, a popular file-sharing and cloud storage platform, uses Python to manage its vast amounts of data and build its infrastructure.

4. Reddit: Reddit, one of the most popular online discussion forums, was initially built using Python.

5. NASA: Python is widely used in scientific research, and NASA uses Python for scientific computing, data analysis, and visualization.

These are just a few examples of the many popular applications built using Python. Python’s versatility and ease of use make it a valuable tool for developers, and its popularity in the job market makes it an excellent language to learn.

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!