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Numpy with Python

NumPy is a library for the Python programming language

  DATAhill Solutions Srinivas Reddy

   Development, Data Science and AI ML, Python

  Language - English

   Published on 01/2020

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  • Session 1. NumPy Introduction
    00:31
    Preview
  • NumPy Introduction
    34:09
    Preview
  • Session 2. Python Numpy Array
    00:28
  • Python Numpy Array
    22:32
  • Session 3. Indexing & Slicing - 1
    00:42
  • Indexing & Slicing - 1
    19:29
  • Session 4. Indexing & Slicing - 2
    00:47
  • Indexing & Slicing - 2
    30:21
  • Session 5. Statistical Functions, Operators & Random Numbers
    00:48
  • Statistical Functions, Operators & Random Numbers
    20:12
  • What is Data Science
    32:26
  • What is Machine Learning
    26:33

Description

In this series, we cover the basics of using NumPy for basic data analysis. Some of the things that are covered are as follows: installing NumPy using the Anaconda Python distribution, creating NumPy arrays in a variety of ways, gathering information about large datasets such as the mean, median and standard deviation, as well as utilizing Jupyter Notebooks for exploration using NumPy. If you are looking to get started with NumPy then join us!

1. NumPy Introduction

2. Python Numpy Array

3. Indexing & Slicing - 1

4. Indexing & Slicing - 2

5. Statistical Functions, Operators & Random Numbers

6. What is Data Science

7. What is Machine Learning

Who this course is for:

  • Beginner Python developers curious about Data Science

What Will I Get ?

  • What is NumPy?
  • Python Numpy Array
  • Indexing & Slicing
  • Statistical Functions, Operators & Random Numbers
  • What is Data Science
  • What is Machine Learning

Requirements

  • Previous programming experience. Familiarity with collection types in Python.
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