getting-started-with-arrays/slides.org
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#+LaTeX_HEADER: \usepackage[english]{babel} \usepackage{ae,aecompl}
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#+LaTeX_HEADER: \usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet}
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#+LaTeX_HEADER: \usepackage{listings}
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#+LaTeX_HEADER:\lstset{language=Python, basicstyle=\ttfamily\bfseries,
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#+LaTeX_HEADER:  commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen},
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#+LaTeX_HEADER:  showstringspaces=false, keywordstyle=\color{blue}\bfseries}
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#+TITLE: Getting started with arrays
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#+AUTHOR: FOSSEE
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#+EMAIL: info@fossee.in
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#+DATE:    
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#+DESCRIPTION: 
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#+KEYWORDS: 
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#+LANGUAGE:  en
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#+OPTIONS:   H:3 num:nil toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t
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#+OPTIONS:   TeX:t LaTeX:nil skip:nil d:nil todo:nil pri:nil tags:not-in-toc
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* Outline
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  - Arrays
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    - why arrays over lists
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  - Creating arrays
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  - Array operations
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* Overview of Arrays
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  - Arrays are homogeneous data structures.
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    - elements have to the same data type
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  - Arrays are faster compared to lists
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    - at least /80-100 times/ faster than lists
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* Creating Arrays
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  - Creating a 1-dimensional array
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  : In []: a1 = array([1, 2, 3, 4])
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  - Creating a 2-dimensional array
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  : In []: a2 = array([[1,2,3,4],[5,6,7,8]])
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  - Easier method of creating array with consecutive elements.
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  : In []: ar = arange(1,9)
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* ~reshape()~ method
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  - To reshape an array
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  : In []: ar.reshape(2, 4)
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  : In []: ar.reshape(4, 2)
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  : In []: ar = ar.reshape(2, 4)
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* Creating ~array~ from ~list~.
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  - ~array()~ method accepts list as argument
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  - Creating a list
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   : In []: l1 = [1, 2, 3, 4]
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  - Creating an array
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    : In []: a3 = array(l1)
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* Exercise 1
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  Create a 3-dimensional array of the order (2, 2, 4).
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* ~.shape~ of array
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  - ~.shape~
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    To find the shape of the array
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    : In []: a1.shape
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  - ~.shape~
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    returns a tuple of shape
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* Exercise 2
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  Find out the shape of the other arrays(a2, a3, ar) that we have created.
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* Homogeneous data
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  - All elements in array should be of same type
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    : In []: a4 = array([1,2,3,'a string'])
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* Implicit type casting 
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   : In []: a4
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    All elements are type casted to string type
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* ~identity()~, ~zeros()~ methods
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  - ~identity(n)~
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    Creates an identity matrix, a square matrix of order (n, n) with diagonal elements 1 and others 0.
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  - ~zeros((m, n))~
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    Creates an ~m X n~ matrix with all elements 0.
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* Learning exercise
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  - Find out about
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    - ~zeros_like()~
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    - ~ones()~
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    - ~ones_like()~
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* Array operations
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  - ~a1 * 2~
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    returns a new array with all elements of ~a1~ multiplied by ~2~.
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    - Similarly ~+~, ~-~ \& ~/~.
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  - ~a1 + 2~
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    returns a new array with all elements of ~a1~ summed with ~2~.
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  - ~a1 += 2~
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    adds ~2~ to all elements of array ~a1~.
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    - Similarly ~-=~, ~*=~ \& ~/=~.
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  - ~a1 + a2~
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    does elements-wise addition.
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    - Similarly ~-~, ~*~ \& ~/~.
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  - ~a1 * a2~
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    does element-wise multiplication
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  *Note* - array(A) * array(B) does element wise multiplication and not matrix multiplication
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* Summary
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  In this tutorial we covered,
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  - Basics of arrays
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  - Creating arrays
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  - Arrays from lists
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  - Basic array operations
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* Thank you!
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#+begin_latex
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  \begin{block}{}
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  \begin{center}
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  This spoken tutorial has been produced by the
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  \textcolor{blue}{FOSSEE} team, which is funded by the 
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  \end{center}
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  \begin{center}
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    \textcolor{blue}{National Mission on Education through \\
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      Information \& Communication Technology \\ 
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      MHRD, Govt. of India}.
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  \end{center}  
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  \end{block}
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#+end_latex
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