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    Advanced Python Programming with NumPy

    Posted By: lucky_aut
    Advanced Python Programming with NumPy

    Advanced Python Programming with NumPy
    Duration: 24h 16m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 8.23 GB
    Genre: eLearning | Language: English

    Expert-level Python programming with NumPy tutorials. Apply NumPy concepts to develop real-time projects & applications.

    What you'll learn
    Advanced Python programming with NumPy concepts and its application
    NumPy Module Projects - 6 full tutorials on project implementation using NumPy
    NumPy - Ndarray Object
    NumPy - Array Attributes
    NumPy - Array Creation Routines
    NumPy - Array from Numerical Ranges
    NumPy - Advanced Indexing
    NumPy – Broadcasting
    NumPy - Iterating over Array
    NumPy - Array Manipulation
    NumPy - Binary Operators
    NumPy - String Functions
    NumPy - Mathematical Functions
    NumPy - Arithmetic Operations
    NumPy - Statistical Functions
    NumPy - Sort, Search & Counting Functions
    NumPy - Copies & Views
    NumPy - Matrix Library
    NumPy - Linear Algebra

    Requirements
    Enthusiasm and determination to make your mark on the world!
    Description
    Advanced Python with NumPy - Course Syllabus
    Advanced Slicing In Numpy
    Append And Resize Functions
    Array Manipulation Functions
    Binary Operators In Numpy
    Byteswap Copies And Views
    Capitalize And Center()
    Creating Arrays From Existing Data
    Creating Arrays From Ranges
    Extract Function
    Hsplit Function
    Indexing And Slicing In Numpy
    Introduction To Numpy
    Leftshift And Rightshift Functions
    Linear Algebra
    Nditer And Broadcasting
    Nditer Function
    Nonzero And Where Functions
    Numpy Argmax Argmin()
    Numpy Argsort()
    Numpy Arithmatic Functions
    Numpy Attributes And Functions
    Numpy Average Function
    Numpy Basic Operations
    Numpy Broadcasting
    Numpy Center Function
    Numpy Concatenate()
    Numpy Delete()
    Numpy Filter Arrays
    Numpy Imag() And Real() Functions
    Numpy Indexing
    Numpy Insert Function
    Numpy Join Arrays
    Numpy Matrix Library
    Numpy Mod Function
    Numpy Module Projects
    Numpy Module Revise
    Numpy Power And Reciprocal Functions
    Numpy Ravel And Swapaxes()
    Numpy Round Functions
    Numpy Search Sort Functions
    Numpy Sort Function
    Numpy Statistical Functions
    Numpy String Functions
    Numpy Title Function
    Numpy Trigonometric Functions
    Numpy Tutorial Basics
    Numpy Unary Operators
    Numpy Unique()
    Numpy Universal Functions
    Random Module
    Random Module Generate Binary String
    Random Module Generate Number Except K
    Random Module Uniform Function
    Secrets Module
    Secretsmodule Generate Tokens
    Sort Function
    Split Function
    Statistical Functions
    String Functions
    Vsplit Function

    Who this course is for:
    Python Developers and Python Developers
    Software Engineers Python
    Data Scientists and Data Engineers
    Anyone interested to make a career in programming, analytics, data science, machine learning
    Solution Architects
    Software Developers and Analysts
    Application Developers - web and app
    High Performance Application Python Developers
    Cloud Computing Engineers
    Data Consultants & Analysts
    Senior Programmers
    Individuals wishing to go beyond the basics of Python to develop sophisticated applications
    Data Analytics Professionals
    Full Stack Python Developers
    Web Developers
    Principal Statistical Programmers

    More Info

    Advanced Python Programming with NumPy