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100+ Exercises – Python Programming – Data Science – NumPy

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Requirements

  • accomplished course ‘200+ Exercises – Programming in Python – from A to Z’
  • accomplished course ‘210+ Exercises – Python Commonplace Libraries – from A to Z’
  • accomplished course ‘150+ Exercises – Object Oriented Programming in Python – OOP’
  • fundamental information of NumPy library

Description

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RECOMMENDED LEARNING PATH

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PYTHON DEVELOPER:

  • 200+ Exercises – Programming in Python – from A to Z
  • 210+ Exercises – Python Commonplace Libraries – from A to Z
  • 150+ Exercises – Object Oriented Programming in Python – OOP
  • 150+ Exercises – Data Constructions in Python – Arms-On
  • 100+ Exercises – Superior Python Programming
  • 100+ Exercises – Unit exams in Python – unittest framework
  • 100+ Exercises – Python Programming – Data Science – NumPy
  • 100+ Exercises – Python Programming – Data Science – Pandas
  • 100+ Exercises – Python – Data Science – scikit-learn
  • 250+ Exercises – Data Science Bootcamp in Python

SQL DEVELOPER:

  • SQL Bootcamp – Arms-On Exercises – SQLite – Half I
  • SQL Bootcamp – Arms-On Exercises – SQLite – Half II

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COURSE DESCRIPTION

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100+ Exercises – Python Programming – Data Science – NumPy

Welcome to the course 100+ Exercises – Python Programming – Data Science – NumPy, the place you possibly can check your Python programming abilities in information science, particularly in NumPy.

Some matters one can find within the workout routines:

  • working with numpy arrays
  • producing numpy arrays
  • producing numpy arrays with random values
  • iterating by arrays
  • coping with lacking values
  • working with matrices
  • studying/writing recordsdata
  • becoming a member of arrays
  • reshaping arrays
  • computing fundamental array statistics
  • sorting arrays
  • filtering arrays
  • picture as an array
  • linear algebra
  • matrix multiplication
  • determinant of the matrix
  • eigenvalues and eignevectors
  • inverse matrix
  • shuffling arrays
  • working with polynomials
  • working with dates
  • working with strings in array
  • fixing methods of equations

The course is designed for individuals who have fundamental information in Python and NumPy package deal. It consists of 100 workout routines with options.

This can be a nice check for people who find themselves studying the Python language and information science and are on the lookout for new challenges. Exercises are additionally a very good check earlier than the interview. Many in style matters had been coated on this course.

If you happen to’re questioning if it’s price taking a step in the direction of Python, don’t hesitate any longer and take the problem right now.

Who this course is for:

  • everybody who needs to study by doing
  • everybody who needs to enhance their Python programming abilities
  • everybody who needs to enhance their information science abilities
  • everybody who needs to organize for an interview

The post 100+ Exercises – Python Programming – Data Science – NumPy appeared first on Udemy Free Udemy Courses | 100 OFF Udemy Coupons.

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