
PCPP1™ Certified Professional in Python Programming 1 Exams
Description
This course is a comprehensive preparation resource designed for individuals pursuing the PCPP1™ certification, the next step after earning the PCAP™ (Certified Associate in Python Programming) credential. This course features six high-quality mock exams that mirror the format, structure, and difficulty of the official certification exam, providing candidates with a rigorous and authentic testing experience.
The mock exams thoroughly cover all domains of the PCPP1™ certification, including advanced OOP (Object-Oriented Programming), GUI programming, PEP conventions, file processing, modules and packages, and best practices for Pythonic code. Each exam is carefully crafted to challenge and deepen your understanding of complex Python programming concepts, helping you bridge the gap between theoretical knowledge and practical application.
Every question is accompanied by a detailed explanation that not only provides the correct answer but also explains the reasoning behind it. These insights help reinforce core programming principles, correct misconceptions, and solidify your command of advanced Python programming techniques.
Ideal for software developers, data engineers, automation specialists, and IT professionals, this course is an essential tool to boost your confidence, sharpen your skills, and ensure exam success. Equip yourself with the knowledge and practice necessary to become a Certified Professional in Python Programming.
[ABOUT CERTIFICATION]
PCPP1™ – Certified Professional in Python Programming 1 certification is a professional credential that measures the candidate's ability to accomplish coding tasks related to advanced programming in the Python language and related technologies, advanced notions and techniques used in object-oriented programming, the use of selected Python Standard Library modules and packages, designing, building and improving programs and applications utilizing the concepts of GUI and network programming, as well as adopting the coding conventions and best practices for code writing.
The PCPP1™ certification shows that the individual is familiar with the following concepts: advanced use of classes and modelling real-life problems in the OOP categories (classes, instances, attributes, methods; class and instance data; shallow and deep operations; inheritance and polymorphism; extended function argument syntax and decorators; static and class methods; attribute encapsulation; composition and inheritance; advanced exceptions; copying object data; serialization; metaclasses), best practices and standardization (PEP8, PEP 257, code layout, comments and docstrings, naming conventions, string quotes and whitespaces, programming recommendations), GUI programming (events, widgets, geometry, tools and toolkits, conventions), the elements of network programming (network sockets, client-server communication, JSON and XML files in network communication, HTTP methods, CRUD, building a simple REST client), and file processing and communicating with a program's environment (processing files: sqlite3, xml, csv, logging, and configparser; communication: os, datetime, io, and time).
PCPP1™ – Certified Professional in Python Programming 1 certification gives its holders confidence in their programming skills, helps them stand out in the job market.
Can I retake the practice tests?
Yes, you are welcome to attempt each practice test as many times as you like. After completing a test, you will receive your final score. Each time you retake the test, the questions and answer choices will be shuffled to provide a fresh experience.
Is there a time limit for the practice tests?
Yes, each test has a time limit.
What score do I need to pass?
To successfully pass each practice test, you need to achieve a score of at least 70%.
Are explanations provided for the questions?
Yes, detailed explanations are available for every question to support your learning.
Can I review my answers after the test?
Absolutely! You will have the opportunity to review all your submitted answers and see which ones were correct or incorrect.
Are the questions updated frequently?
Yes, the questions are regularly updated to ensure the most relevant and up-to-date learning experience.
Additional Note:
To maximize your preparation, we highly recommend taking the practice exams multiple times until you consistently score 90% or higher. Don't hesitate—start your preparation today. Wishing you the best of luck!
Who this course is for:
- Python Developers
- Software Developers and Engineers
- Computer Science Students and Graduates
- IT Professionals Transitioning to Software Development
- Data Analysts and Data Scientists
- Technical Leads and Engineering Managers
- Freelancers and Independent Consultants
- Enthusiasts and Hobbyists with Professional Aspirations
Instructor
EN
Python Developer/AI Enthusiast/Data Scientist/Stockbroker
Enthusiast of new technologies, particularly in the areas of artificial intelligence, the Python language, big data and cloud solutions. Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization. Master's degree graduate in Financial and Actuarial Mathematics at the Faculty of Mathematics and Computer Science at the University of Lodz. Former PhD student at the faculty of mathematics. Since 2015, a licensed Securities Broker with the right to provide investment advisory services (license number 3073). Lecturer at the GPW Foundation, conducting training for investors in the field of technical analysis, behavioral finance, and principles of managing a portfolio of financial instruments.
Founder at e-smartdata
PL
Data Scientist, Securities Broker
Jestem miłośnikiem nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python big data oraz rozwiązań chmurowych. Posiadam stopień absolwenta podyplomowych studiów na kierunku Informatyka, specjalizacja Big Data w Polsko-Japońskiej Akademii Technik Komputerowych oraz magistra z Matematyki Finansowej i Aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego. Od 2015 roku posiadam licencję Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073). Jestem również wykładowcą w Fundacji GPW prowadzącym szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych. Mam doświadczenie w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką. Moje główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.
Założyciel platformy e-smartdata