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    Certified Python Master Developer

    BY
    Henry Harvin

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    Mode

    Online

    Duration

    42 Hours

    Fees

    ₹ 29250 32500

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study, Virtual Classroom
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 29,250  ₹32,500
    certificate availability

    Yes

    certificate providing authority

    Henry Harvin

    The syllabus

    Module 1: Python Environment Setup and Essentials

    • Introduction to Python Language
    • Features, the advantages of Python over other programming language
    • Python installation- Windows, Mac & Linux distribution for Anaconda Python
    • Deploying Python IDE
    • Basic Python commands, data types, variables, keywords and more

    Module 2: Python language Basic Constructs

    • Built-in data types in Python
    • Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
    • Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
    • Loop and control statements while, for, if, break, else, continue

    Module 3: OOP Concepts in Python

    • How to write OOP concepts program in Python
    • Connecting to a database
    • Classes and objects in Python
    • OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation
    • Python functions, return types and parameters
    • Lambda expressions

    Module 4: Database connection

    • Understanding the Database, need of database
    • Installing MySQL on windows
    • Understanding Database connection using Python

    Module 5: NumPy for mathematical computing

    • Introduction to arrays and matrices
    • Broadcasting of array math, indexing of array
    • Standard deviation, conditional probability, correlation and covariance

    Module 6: SciPy for scientific computing

    • Introduction to SciPy
    • Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, SciPy with Bayes Theorem

    Module 7: Matplotlib for data visualization

    • How to plot graph and chart with Python
    • Various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots

    Module 8: Pandas for data analysis and machine learning

    • Introduction to Python data frames
    • Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
    • Various data operations like selecting, filtering, sorting, viewing, joining, combining

    Module 9: Exception Handling

    • Introduction to Exception Handling
    • Scenarios in Exception Handling with its execution
    • Arithmetic exception
    • RAISE of Exception
    • What is Random List, running a Random list on Jupyter Notebook
    • Value Error in Exception Handling

    Module 10: Multi Threading & Race Condition

    • Introduction to Thread, need of threads
    • What are thread functions
    • Performing various operations on thread like joining a thread, starting a thread, enumeration in a thread
    • Creating a Multithread, finishing the multithreads.
    • Understanding Race Condition, lock and Synchronization

    Module 11: Packages and Functions

    • Introduction to modules in Python, need of modules
    • How to import modules in python
    • Locating a module, namespace and scoping
    • Arithmetic operations on Modules using a function
    • Intro to Search path, Global and local functions, filter functions
    • Python Packages, import in packages, various ways of accessing the packages
    • Decorators, Pointer assignments, and Xldr

    Module 12: Web scraping with Python

    • Introduction to web scraping in Python
    • Installing of beautifulsoup
    • Installing Python parser lxml
    • Various web scraping libraries, beautifulsoup, Scrapy Python packages
    • Creating soup object with input HTML
    • Searching of tree, full or partial parsing, output print

    Complimentary module 1: Soft Skills Development

    • Business Communication
    • Preparation for the Interview
    • Presentation Skills

    Complimentary Module 2: Resume Writing

    • Resume Building Techniques

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