Certified Professional Python Programmer Level 1
  • Exam Name: PCPP1 - Certified Professional Python Programmer Level 1
  • Exam Level: Programmer Level
  • Exam Code: PCPP-32-10x
  • Prerequisites: PCAP - Certified Associate in Python Programming (Exam PCAP-31-0x)
  • Exam Length: Exam - 65 minutes, NDA/Tutorial- 10 minutes
  • Number of Questions: 45
  • Passing Score: 70%
  • Price: USD 195

PCPP1 Training - Your Pathway to Becoming a Certified Professional Python Programmer Level 1

  • We offer exceptional PCPP1 training at the BITA Certification Training Institute in order to assist you in attaining the credential of Certified Professional Python Programmer Level 1. The PCPP1 certification is an elevated credential that showcases an individual's aptitude for Python programming and capacity to address intricate coding dilemmas.
  • The professional credential known as certification assesses an individual's proficiency in performing coding assignments pertaining to advanced programming in the Python programming language and associated technologies, advanced concepts and methods employed in object-oriented programming, utilization of specific Python Standard Library modules and packages, design, development, and enhancement of programs and applications with an emphasis on GUI and network programming principles, and implementation of the aforementioned concepts and techniques.
  • Our PCPP1 training program is designed to furnish you with the necessary skills to thrive in real-world programming environments, with an emphasis on practical application. Our seasoned, industry-savvy instructors will provide comprehensive guidance throughout the curriculum, guaranteeing that you acquire practical knowledge and a profound comprehension of Python.

Why take the Level 1 Certified Professional Python Programmer Course?

Participating in the PCPP1 training course provides a multitude of advantages:

  • Career Advancement: Acquiring the PCPP1 certification grants access to more advanced employment prospects in machine learning, data analysis, and software development, among other fields.
  • Proficiency Development: The PCPP1 training program imparts an extensive comprehension of sophisticated Python principles, enabling individuals to compose code that is both efficient and optimized.
  • Industry Acknowledgement: The PCPP1 certification is acknowledged on an international scale, thereby enhancing your marketability and professional profile with a valuable credential.
  • Practical Experience: Our PCPP1 training program incorporates hands-on exercises and authentic assignments, guaranteeing that you will be capable of implementing the knowledge and skills you acquire in a professional environment.
  • Community and Support: Become a member of the BITA community and acquire access to forums, resources, and ongoing support from other certified professionals.

Who can learn PCPP1?

The PCPP1 course of study is optimal for:

  • Software Developers: Software developers have the opportunity to improve their programming abilities and earn certification as an expert.
  • Data Scientists: Enhance your proficiency in Python programming to effectively manage data analysis and machine learning responsibilities, Data Scientists.
  • IT Professionals: Broaden your professional horizons and develop new skills in the technology sector.
  • Students: Anoint yourself for a future software development vocation with a certification that distinguishes you.
  • Python Enthusiasts: Develop a more profound comprehension of Python and elevate your coding prowess.

Prerequisites for PCPP1

The following are the requirements for enrollment in the PCPP1 training course:

  • Fundamental Python Proficiency: A comprehensive comprehension of fundamental Python principles, including variables, loops, and functions.
  • PCAP Certification: Although not required, it is strongly advised to possess the PCAP (Certified Associate in Python Programming) certification or an equivalent level of expertise.
  • Programming Experience: It is advantageous to have a basic understanding of composing and debugging Python code.

How Does One Register for the PCPP1 Examination?

To register for the PCPP1 examination, proceed as follows:

  • Finalize PCPP1 Instruction: Complete the PCPP1 training course that BITA Certification Training Institute offers upon enrollment.
  • Register via Web: To enroll for the PCPP1 examination, visit the official Python Institute website and proceed to account creation.
  • Choose the Exam Date: Select an exam date and location that are both convenient. Globally, the PCPP1 examination is administered at a variety of assessment centers.
  • Remit Exam Fee: The registration process concludes with the online payment of the examination charge.

Cost of PCPP1 Certification Exam

The cost of the PCPP1 certification exam differs based on the location of the candidate and the mode of exam delivery. The exam fee typically varies between $195 and $295. Please refer to the official website of Python Institute for the most current and accurate pricing details.

How to Obtain PCPP1 Certification?

To acquire the PCPP1 certification, adhere to the subsequent procedures:

  • Enroll in PCPP1 Training: To adequately prepare, enroll in the PCPP1 training course offered by the BITA Certification Training Institute.
  • Complete the Course: Successfully complete all practical projects, modules, and assignments for the PCPP1 training program.
  • Schedule the Exam: Register and arrange your examination date via the official website of the Python Institute.
  • Conquer the Exam: Successfully complete and pass the PCPP1 examination to showcase your expertise in advanced Python programming.
  • Acquire Certification By: You will be granted the Certified Professional Python Programmer Level 1 (PCPP1) credential upon successful completion of the examination.

The Significance of PCPP1 Certification

  • Python is without a doubt the most versatile programming language of the twenty-first century; the greater your proficiency in Python, the more opportunities it presents. Equipped with a comprehensive understanding of Python, one can secure employment across an extensive range of sectors and occupations.
  • Individuals seeking to enhance their competencies and understanding in preparation for entry-level and mid-level positions as software developers, network programmers, data analysts, or testers;
  • industry experts interested in investigating Python-related or Python-foundational technologies; and project managers, product managers, and team leaders desiring a comprehensive comprehension of the software development cycle's terminology and procedures in order to manage them more efficiently.
  • Python is presently regarded as either the most highly compensated or among the most highly compensated programming languages globally, with annual salaries varying from $90,000 to $130,000
  • Python's expanding function and the ever-increasing dependence on the Internet will almost certainly result in a salary increase for the average Python programmer.

PCPP1 Certification Syllabus

Understand and explain the basic terms and programming concepts used in the OOP paradigm

  • essential terminology: class, instance, object, attribute, method, type, instance and class variables, superclasses and subclasses
  • reflexion: isinstance(), issubclass()
  • the __init__() method
  • creating classes, methods, and class and instance variables; calling methods; accessing class and instance variables

Perform Python core syntax operations

  • Python core syntax expressions - magic methods: comparison methods (e.g. __eq__(self, other)), numeric methods (e.g. __abs__(self)), type conversion methods (e.g. __init__(self)), object intro- and retrospection (e.g. __str__(self), __instancecheck__(self, object)), object attribute access (e.g. __getattr__(self, attribute)), accessing containers (e.g. __getitem__(self, key))
  • operating with special methods
  • extending class implementations to support additional core syntax operations

Understand and use the concepts of inheritance, polymorphism, and composition

  • class hierarchies
  • single vs. multiple inheritance
  • Method Resolution Order (MRO)
  • duck typing
  • inheritance vs. composition
  • modelling real-life problems using the 'is a' and 'has a' relations

Understand the concept of extended function argument syntax and demonstrate proficiency in using decorators

  • special identifiers: *args, **kwargs
  • forwarding arguments to other functions
  • function parameter handling
  • closures
  • function and class decorators
  • decorating functions with classes
  • creating decorators and operating with them: implementing decorator patterns, decorator arguments, wrappers
  • decorator stacking
  • syntactic sugar
  • special methods: __call__, __init__

Design, build, and use Python static and class methods

  • implementing class and static methods
  • class vs. static methods
  • the cls parameter
  • the @classmethod and @staticmethod decorators
  • class methods: accessing and modifying the state/methods of a class, creating objects

Understand and use Python abstract classes and methods

  • abstract classes and abstract methods: defining, creating, and implementing abstract classes and abstract methods
  • overriding abstract methods
  • implementing a multiple inheritance from abstract classes
  • delivering multiple child classes

Understand and use the concept of attribute encapsulation

  • definition, meaning, usage
  • operating with the getter, setter, and deleter methods

Understand and apply the concept of subclassing built-in classes

  • inheriting properties from built-in classes
  • using the concept of subclassing the built-ins to extend class features and modify class methods and attributes

Demonstrate proficiency in the advanced techniques for creating and serving exceptions

  • exceptions as objects, named attributes of exception objects, basic terms and concepts
  • chained exceptions, the __context__ and __cause__ attributes, implicitly and explicitly chained exceptions
  • analyzing exception traceback objects, the __traceback__ attribute
  • operating with different kinds of exceptions

Demonstrate proficiency in performing shallow and deep copy operations

  • shallow and deep copies of objects
  • object: label vs. identity vs. value
  • the id() function and the is operand
  • operating with the copy() and deepcopy() methods

Understand and perform (de)serialization of Python objects

  • object persistence, serialization and deserialization: meaning, purpose, usage
  • serializing objects as a single byte stream: the pickle module, pickling various data types
  • the dumps() and loads functions
  • serializing objects by implementing a serialization dictionary: the shelve module, file modes, creating shelve objects

Understand and explain the concept of metaprogramming

  • metaclasses: meaning, purpose, usage
  • the type metaclass and the type() function
  • special attributes: __name__, __class__, __bases__, __dict__
  • operating with metaclasses, class variables, and class methods

Understand and explain the concept of Python Enhancement Proposals and Python philosophy

  • the PEP concept and selected PEPs: PEP 1, PEP 8, PEP 20, PEP 257
  • PEP 1: different types of PEPs, formats, purpose, guidelines
  • PEP 20: Python philosophy, its guiding principles, and design; the import this instruction and PEP 20 aphorisms

Employ the PEP 8 guidelines, coding conventions, and best practices

  • PEP 8 compliant checkers
  • recommendations for code layout: indentation, continuation lines, maximum line length, line breaks, blank lines (vertical whitespaces)
  • default encodings
  • module imports
  • recommendations for string quotes, whitespace, and trailing commas: single-quoted vs. double-quoted strings, whitespace in expressions and statements, whitespace and trailing commas
  • recommendations for using comments: block comments, inline comments
  • documentation strings
  • naming conventions: naming styles, recommendations
  • programming recommendations

Employ the PEP 257 guidelines, conventions, and best practices

  • docstrings: rationale, usage
  • comments vs. docstrings
  • PEP 484 and type hints
  • creating, using, and accessing docstrings
  • one-line vs. multi-line docstrings
  • documentation standards, linters, fixers

Understand and explain the basic concepts and terminology related to GUI programming

  • GUI: meaning, rationale, basic terms and definitions
  • visual programming: examples, basic features
  • widgets/controls - basic terms: windows, title and title bars, buttons, icons, labels, etc.
  • classical vs. event-driven programming
  • events - basic terms
  • widget toolkits/GUI toolkits

Use GUI toolkits, basic blocks, and conventions to design and build simple GUI applications

  • importing tkinter components
  • creating an application's main window: the Tk(), mainloop(), and title methods
  • adding widgets to the window: buttons, labels, frames, the place() method, widget constructors, location, screen coordinates, size, etc.
  • launching the event controller: event handlers, defining and using callbacks, the destroy() method, dialog boxes
  • shaping the main window and interacting with the user
  • checking the validity of user input and handling errors
  • working with Canvas and its methods
  • using the Entry, Radiobutton, and Button widgets
  • managing widgets with the grid and place managers
  • binding events using the bind() method

Demonstrate proficiency in using widgets and handling events

  • settling widgets in the window's interior, geometry managers
  • coloring widgets, color modes: RGB, HEX
  • event handling: writing event handlers and assigning them to widgets
  • event-driven programming: implementing interfaces using events and callbacks
  • widget properties and methods
  • variables: observable variables and adding observers to variables
  • using selected clickable and non-clickable widgets
  • identifying and servicing GUI events

Understand and explain the basic concepts of network programming

  • REST
  • network sockets
  • Domains, addresses, ports, protocols, and services
  • Network communication: connection-oriented vs. connectionless communication, clients and servers

Demonstrate proficiency in working with sockets in Python

  • the socket module: importing and creating sockets
  • connecting sockets to HTTP servers, closing connections with servers
  • sending requests to servers, the send() method
  • receiving responses from servers, the recv() method
  • exception handling mechanisms and exception types

Employ data transfer mechanisms for network communication

  • JSON: syntax, structure, data types (numbers, strings, Boolean values, null), compound data (arrays and objects), sample JSON documents and their anatomies
  • the json module: serialization and deserialization, serializing Python data/deserializing JSON (the dumps() and loads methods), serializng and deserializing Python objects
  • XML: syntax, structure, sample xml documents and their anatomies, DTD, XML as a tree
  • processing xml files

Design, develop, and improve a simple REST client

  • the request module
  • designing, building, and using testing environments
  • HTTP methods: GET, POST, PUT, DELETE
  • CRUD
  • adding and updating data
  • fetching and removing data from servers
  • analyzing the server's response
  • response status codes

Demonstrate proficiency in database programming in Python

  • the sqlite module
  • creating and closing database connection using the connect and close methods
  • creating tables
  • inserting, reading, updating, and deleting data
  • transaction demarcation
  • cursor methods: execute, executemany, fetchone, fetchall
  • creating basic SQL statements (SELECT, INSERT INTO, UPDATE, DELETE, etc.)

Demonstrate proficiency in processing different file formats in Python

  • parsing XML documents
  • searching data in XML documents using the find and findall methods
  • building XML documents using the Element class and the SubElement function
  • reading and writing CSV data using functions and classes: reader, writer, DictReader, DictWriter
  • logging events in applications
  • working with different levels of logging
  • using LogRecord attributes to create log formats
  • creating custom handlers and formatters
  • parsing and creating configuration files using the ConfigParser object
  • interpolating values in .ini files

Conclusion

By enrolling in BITA's PCPP1 training, you will be well on your way to attaining a credential that is widely recognized and will greatly benefit your Python programming career. Become a certified professional with PCPP1 training that is tailored to your success by enrolling with us today.

Blue Print of PCPP1 Exam

  • Advanced Object Oriented Programming - 25%
  • Coding conversion and standardization - 12%
  • GUI Programming - 20%
  • Network Programming - 18%
  • File Processing and communication with program's environment - 15%

Schedule a Demo - 30 Mins

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