Duration: Hours

PCPP – Certified Professional in Python Programming certifications are professional credentials that measure your 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, selected library modules (file processing, communicating with a program’s environment; mathematics-, science-, and engineering-oriented modules), GUI programming, network programming, as well as creating tools, frameworks and complete systems.

Training Mode: Online

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    Description

    The PCPP is the highest Python certification offered by the Python Institute. These are two certifications, PCPP 1 and PCPP 2. The PCPP certification gauges a candidate’s ability to: Accomplish coding tasks related to advanced programming in Python and related technologies.This is a professional certificate that verifies your skills in carrying out technical tasks or coding in the programming language. There are no prerequisites for this certification and tests you in areas like the fundamental concepts of computer programming.

    Benefits of Python : It can be used to develop prototypes, and quickly because it is so easy to work with and read. Most automation, data mining, and big data platforms rely on Python. This is because it is the ideal language to work with for general purpose tasks.Since Python is widely used in the world of data science and only growing in its popularity, it is an important tool for anyone getting started in data science. Learning Python as part of a wider data analytics skill set will make you a stronger candidate, as data analysts are expected to have a wide array of skills.

    Creating and Distributing Package

    • Using pip
    • Basic directory structure
    • The pyfile
    • Sharing, storing, and installing packages
    • Documentation
    • License
    • Testing principles and techniques
    1. unittest– Unit testing framework
    2. Pytest– framework to write tests

    Design Patterns Objectives covered by the module

    • Object-oriented design principles and the concept of design patterns
    • The SingletonDesign Pattern
    • The FactoryPattern
    • The FaçadePattern
    • The ProxyPattern
    • The ObserverPattern
    • The CommandPattern
    • The Template MethodPattern
    • Model-View-Controller
    • The State DesignPattern

    Module 3: Interprocess Communication

    • multiprocessing — Process-based parallelism
    • threading — Thread-based parallelism
    • subprocess — Subprocess management
    • Multiprocess synchronisation
    1.  queue— A synchronized queue class
    2. socket— Low-level networking interface
    3. mmap— Memory-mapped file support

    Module 4: Python Network Programming

    • Python Socket Module
    1. Introduction to sockets
    2. Server Socket Methods
    3. Client socket methods
    4. General socket methods
    5. Client-Server vs. Peer-to-peer
    6. Other Internet nodules

     

    For more inputs on Python you can connect here.
    Contact the L&D Specialist at Locus IT.

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