mirror of
https://github.com/gsi-upm/sitc
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331 lines
7.1 KiB
Plaintext
331 lines
7.1 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"![](http://www.upm.es/sfs/Rectorado/Gabinete%20del%20Rector/Logos/UPM/EscPolitecnica/EscUpmPolit_p.gif \"UPM\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Course Notes for Learning Intelligent Systems"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © 2016 Carlos A. Iglesias"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Variables"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 1. Strongly typed and dynamically typed"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"As we have seen previously, in Python we can assign an object to a variable with the assignment operator (=).\n",
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"\n",
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"Binding a variable in Python means setting a name to hold a reference to some object. Assignment creates references, not copies.\n",
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"\n",
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"Names in Python do not have an intrinsic type. Objects have types. Python determines the type of the reference automatically based on the data object assigned to it.\n",
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"\n",
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"In Python, everything is an object, there no difference between primitive types, functions and objects: all are objects."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"a = 2\n",
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"a"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Python is a **strongly typed** language and **dynamically typed** language.\n",
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"\n",
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"This means:\n",
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"* ** dynamically typed**: variables do not declare a static type (as in Java int a = 2;). Variables have no type themselves, they are just names that hold a reference to some object. The type of the variable is changed dynamically when you change the type of the assigned data object. \n",
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"* **strongly typed**: the interpreter tracks variable types. There is no explicit type conversion. For example, in Javascript we can "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"type(a)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Exercises"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Can we assign a String value to the variable a? \n",
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"Can we assign the expression 'd' + 3 to the variable a?\n",
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"\n",
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"\n",
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"Give reasons for your answers and check them below."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"a = 'd'\n",
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"a"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"a = 'd' + 3\n",
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"a"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": true
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},
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"source": [
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"## 2. Mutability"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": false
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},
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"source": [
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"Objects whose value can change are said to be **mutable**; objects whose value is unchangeable once they are created are called **immutable**.\n",
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"\n",
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"* **Mutable types**: integers, floats, strings, lists, set\n",
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"* **Inmutable types**: tuples, ranges, dictionaries"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# Exercise mutable type\n",
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"a = 10\n",
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"b = a\n",
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"b = 5\n",
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"print('a', a)\n",
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"print('b', b)\n",
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"\n",
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"# Which will be the values of a and b?"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# Exercise mutable type\n",
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"a = 10\n",
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"a = 10 + 1\n",
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"print(a)\n",
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"\n",
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"# Can we change 'a' if it is inmutable?"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# Exercise mutable type\n",
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"a = \"Hola\"\n",
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"b = a\n",
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"b = \"Hi\"\n",
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"print('a', a)\n",
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"print('b', b)\n",
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"\n",
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"# Which will be the values of a and b?"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# Exercise inmutable type\n",
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"a = [1, 2, 3]\n",
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"b = a\n",
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"a.append(4)\n",
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"print('a', a)\n",
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"print('b', b)\n",
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"\n",
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"# Which will be the value of a and b?"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 3. Scope"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# Example of a local variable\n",
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"# The scope defines the visibility of a name within a block. \n",
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"# If a local variable is defined in a block, its scope includes that block. \n",
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"\n",
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"c = 3\n",
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"def add(a, b):\n",
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" c = a + b\n",
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" return c\n",
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"d = add(2, 2)\n",
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"print('d', d)\n",
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"print('c', c)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# Access global variables\n",
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"\n",
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"c = 3\n",
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"def add(a, b):\n",
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" global c\n",
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" c = a + b\n",
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" return c\n",
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"d = add(2, 2)\n",
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"print('d', d)\n",
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"print('c', c)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 4. Constants\n",
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"\n",
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"In Python there is no way to specify that a variable is constant, but there is the convention to write their names in all caps, with underscores separating words."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"NUMBER_OF_LIFES = 5\n",
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"\n",
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"print(NUMBER_OF_LIFES)\n",
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"\n",
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"# built-in constants usually do no follow the convention \n",
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"import math\n",
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"print(math.pi)\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Licence"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
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"\n",
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"© 2016 Carlos A. Iglesias, Universidad Politécnica de Madrid."
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.1"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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