Get instant Coupon on our Telegram ChannelGet certified in Python with focus. Now! 6 realistic simulations, each 65 minutes long, will prepare you perfectly.
Description
Many of the offered courses and practice tests contain too many questions focused on older PCAP exams, which tends to cause confusion rather than be helpful. This course is as close to the current exam and reality as possible. The time, number, and distribution of questions match the current PCAP exam exactly.
I have years of experience as an instructor in training and preparing students for this certification. I recently renewed my PCAP certification in August 2024 and passed with flying colors.
Python Institute PCAP-31-03: Certified Associate in Python Programming
This course includes 6 practice tests with preparation questions covering all knowledge areas needed for the PCAP-31-03 exam at the Python Institute.This course offers a realistic simulation of the PCAP certification exam, featuring ten sets of 40 questions each. Each test is designed to be completed within a 65-minute time limit, closely mimicking the conditions of the actual exam.
The focus of these 240 test questions is not on quantity but on quality and relevance in relation to the current PCAP certification for 2024.
PCAP-31-03 Exam Syllabus
Status: LIVE & ACTIVE
Every question comes with a detailed explanation and a Try-It-Yourself-Code snippet that you can run to better understand the topic. You can download the Try-It-Yourself-Code for all questions.
Exam Syllabus
Modules and Packages:
Import variants; advanced qualifying for nested modules
dir(); sys.path variable
math: ceil(), floor(), trunc(), factorial(), hypot(), sqrt()
random: random(), seed(), choice(), sample()
platform: platform(), machine(), processor(), system(), version(), python_implementation(), python_version_tuple()
__pycache__, __name__, public variables
Exceptions:
except, except:-except; except:-else:, except (e1, e2)
The hierarchy of exceptions
raise, raise ex, assert
Event classes, except E as e, arg property
User-defined exceptions, defining and using them
Strings:
ASCII, UNICODE, UTF-8, codepoints, escape sequences
chr(), ord(), literals
Indexing, slicing, immutability
Iterating through strings
Concatenating, multiplying, comparing (with strings and numbers)
in, not in
.isxxx(), .join(), .split()
.sort(), sorted(), .index(), .find(), .rfind()
Object-Oriented Programming:
Concepts: class, object, property, method, encapsulation, inheritance, grammar vs class, superclass, subclass
Instance vs class variables: declaring, initializing
__dict__ property (objects vs classes)
Private components (instance vs classes), name mangling
Methods: declaring, using, self parameter
Introspection: hasattr() (objects vs classes), __name__, __module__, __bases__ properties
Inheritance: single, multiple, isinstance(), overriding, not, is and is operators
Constructors: declaring and invoking
Polymorphism
__name__, __module__, __bases__ properties, __str__() method
Multiple inheritance, diamond problem
Miscellaneous (List Comprehensions, Lambdas, Closures, and I/O Operations):
List comprehension: if operator, using list comprehensions
Lambdas: defining and using lambdas, user-defined functions taking lambdas as arguments; map(), filter()
Closures: meaning, defining, and using closures
I/O Operations: I/O modes, predefined streams, handles; text/binary modes, open(), errno and its values; close(), .read(), .write(), .readline(), readlines() (along with bytearray())
Why Learn Python?
Python is easy to learn with simple syntax and highly readable code. You can write programs in fewer lines than with most other programming languages. Python’s popularity is rapidly growing, making it one of the most sought-after programming languages. It has a wide range of applications, including automation, web development, artificial intelligence, and data science.
Web Development:
Python is an excellent choice for rapid web application development. Frameworks like Django, Pyramid, and Flask allow you to build web applications quickly. Python is used on the server side to interact with databases and create RESTful API services.
Artificial Intelligence:
The future is moving towards artificial intelligence, and Python plays a crucial role in this field. Many organizations and researchers use Python to develop intelligent systems capable of tasks similar to human activities, understanding emotions, and mimicking actions previously impossible for machines.
Automation:
Python simplifies life by automating tasks such as data collection from websites, automating test cases in software development, or handling routine office tasks. Its ability to access and manipulate various types of files can save a lot of time by automating repetitive processes.
Data Science:
Python has gained immense popularity in data science due to its simplicity, a large community, and the capability to perform complex calculations easily. Data scientists rely on Python for tasks ranging from building applications to automating data-related processes.
Python’s versatility ensures its continued relevance in the ever-evolving IT industry.
Who Should Take This Course:
Everyone preparing for the Python Institute PCAP-31-03 certification.
Everyone preparing for a Python job interview.
Everyone wanting to deepen their Python knowledge through questions and explanations.
Everyone wanting to test their Python skills.
Everyone interested in using Python for artificial intelligence, machine learning, data science, web development, or automation.
Every Python programmer looking to enhance their skills.
Every programmer looking to switch to Python.
| Total Students | 101 |
|---|---|
| Original Price($) | |
| Sale Price | Free |
| Number of lectures | 0 |
| Number of quizzes | 6 |
| Total Reviews | 0 |
| Global Rating | 0 |
| Instructor Name | Armin R. Neef |
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