Update qlearning.py

Updated image link

.gitignore

@@ -1,3 +1,3 @@
 *.pyc
-.*
+.* 
 __pycache__

CONTRIBUTING.md

@@ -3,7 +3,7 @@
 When contributing to this repository, please consider the scope of your contribution.
 For major corrections (other than typos and minor code changes), please first discuss the change you wish to make via a GitHub issue,
 email, or any other method with the owners of this repository before working on your change. 
-If you fail to do so, your contribution may be rejected.
+If you fail to do so, your contribution may be rejected. 
 
 Also note that we have a code of conduct, please follow it in all your interactions with the project.
 

Makefile

@@ -1,5 +1,5 @@
 FOLDER:=.
-ERROR:=255
+ERROR:=255 
 
 exec:
 	find $(FOLDER) -iname '*.ipynb' -print0 | xargs -n 1 -0 sh -c 'jupyter nbconvert --execute --ClearOutputPreprocessor.enabled=True --inplace $$0 || exit $(ERROR)'

README.md

@@ -1,7 +1,7 @@
 # sitc
 Exercises for Intelligent Systems Course at Universidad Politécnica de Madrid, Telecommunication Engineering School. This material is used in the subjects
-- CDAW (Ciencia de datos y aprendizaje en automático en la web de datos) - Master Universitario de Ingeniería de Telecomunicación (MUIT)
+- CDAW (Ciencia de datos y aprendizaje en automático en la web de datos) - Máster Universitario de Ingeniería de Telecomunicación (MUIT)
-- ABID (Analítica de Big Data) - Master Universitario en Ingeniera de Redes y Servicios Telemáticos)
+- ABID (Analítica de Big Data) - Máster Universitario en Ingeniería de Redes y Servicios Telemáticos) 
 
 For following this course:
 - Follow the instructions to install the environment: https://github.com/gsi-upm/sitc/blob/master/python/1_1_Notebooks.ipynb (Just install 'conda')
@@ -10,12 +10,12 @@ For following this course:
 
 Topics
 * Python: a quick introduction to Python
-* ML-1: introduction to machine learning with scikit-learn
+* ML-1: Introduction to machine learning with scikit-learn
-* ML-2: introduction to machine learning with pandas and scikit-learn
+* ML-2: Introduction to machine learning with pandas and scikit-learn
-* ML-21: preprocessing and visualizatoin
+* ML-21: Preprocessing and visualization
-* ML-3: introduction to machine learning. Neural Computing
+* ML-3: Introduction to machine learning. Neural Computing
-* ML-4: introduction to Evolutionary Computing
+* ML-4: Introduction to Evolutionary Computing
-* ML-5: introduction to Reinforcement Learning
+* ML-5: Introduction to Reinforcement Learning
-* NLP: introduction to NLP
+* NLP: Introduction to NLP
 * LOD: Linked Open Data, exercises and example code
 * SNA: Social Network Analysis

ml5/2_6_0_Intro_RL.ipynb

@@ -27,7 +27,7 @@
    "source": [
     "# Introduction to Machine Learning V\n",
     " \n",
-    "In this lab session, we are going to get more insight about reinforcemente learning and, in particular, about Q-learning.\n",
+    "In this lab session, we are going to get more insight about reinforcement learning and, in particular, about Q-learning.\n",
     "\n",
     "# Objectives\n",
     "\n",
@@ -58,7 +58,7 @@
    "metadata": {},
    "source": [
     "## Licence\n",
-    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
+    "The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
     "\n",
     "© Carlos A. Iglesias, Universidad Politécnica de Madrid."
    ]

ml5/2_6_1_Q-Learning_Basic.ipynb

@@ -35,7 +35,7 @@
     "# Introduction\n",
     "The purpose of this practice is to understand better Reinforcement Learning (RL) and, in particular, Q-Learning.\n",
     "\n",
-    "We are going to use [Gymnasium](https://gymnasium.farama.org/). Gymnasium is toolkit for developing and comparing RL algorithms. It is a fork of [Open AI Gym](https://www.gymlibrary.dev/). Take a loot at ther [website](https://github.com/Farama-Foundation/Gymnasium).\n",
+    "We are going to use [Gymnasium](https://gymnasium.farama.org/). Gymnasium is a toolkit for developing and comparing RL algorithms. It is a fork of [Open AI Gym](https://www.gymlibrary.dev/). Take a loot at ther [website](https://github.com/Farama-Foundation/Gymnasium).\n",
     "\n",
     "It implements [algorithm imitation](http://gym.openai.com/envs/#algorithmic), [classic control problems](https://gymnasium.farama.org/environments/classic_control/), [Atari games](https://gymnasium.farama.org/environments/atari/), [Box2D continuous control](https://gymnasium.farama.org/environments/box2d/), [robotics with MuJoCo, Multi-Joint dynamics with Contact](https://gymnasium.farama.org/environments/mujoco/), [simple text based environments](https://gymnasium.farama.org/environments/toy_text/), and [other problems](https://gymnasium.farama.org/environments/third_party_environments/).\n",
     "\n",
@@ -64,7 +64,7 @@
    "metadata": {},
    "source": [
     "## Environments\n",
-    "OpenGym provides a number of problems called *environments*. \n",
+    "OpenGym provides several problems called *environments*. \n",
     "\n",
     "Try 'LunarLander-v2' (or 'CartPole-v1', 'MountainCar-v0', etc.)."
    ]
@@ -1328,7 +1328,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
+    "The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
     "\n",
     "© Carlos Á. Iglesias, Universidad Politécnica de Madrid."
    ]

ml5/2_6_1_Q-Learning_Exercises.ipynb

@@ -38,7 +38,7 @@
     "## Taxi\n",
     "Analyze the [Taxi problem](https://gymnasium.farama.org/environments/toy_text/taxi/) and solve it applying Q-Learning. You can find a solution as the one previously presented  [here](https://www.oreilly.com/learning/introduction-to-reinforcement-learning-and-openai-gym), and the notebook is [here](https://github.com/wagonhelm/Reinforcement-Learning-Introduction/blob/master/Reinforcement%20Learning%20Introduction.ipynb). Take into account that Gymnasium has changed, so you will have to adapt the code.\n",
     "\n",
-    "Analyze the impact of not changing the learning rate or changing it in a different way. "
+    "Analyze the impact of not changing the learning rate or changing it differently. "
    ]
   },
   {
@@ -49,7 +49,7 @@
     "Select one of the following exercises.\n",
     "\n",
     "## Blackjack\n",
-    "Analyze how to appy Q-Learning for solving Blackjack.\n",
+    "Analyze how to apply Q-Learning for solving Blackjack.\n",
     "You can find information in this [article](https://gymnasium.farama.org/tutorials/training_agents/blackjack_tutorial/).\n",
     "\n",
     "## Doom\n",
@@ -82,7 +82,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
+    "The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
     "\n",
     "© Carlos Á. Iglesias, Universidad Politécnica de Madrid."
    ]

ml5/2_6_1_Q-Learning_Visualization.ipynb

@@ -39,7 +39,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In this section we are going to visualize Q-Learning based on this [link](https://gymnasium.farama.org/tutorials/training_agents/FrozenLake_tuto/#sphx-glr-tutorials-training-agents-frozenlake-tuto-py). The code has been ported to the last version of Gymnasium.\n",
+    "In this section, we are going to visualize Q-Learning based on this [link](https://gymnasium.farama.org/tutorials/training_agents/FrozenLake_tuto/#sphx-glr-tutorials-training-agents-frozenlake-tuto-py). The code has been ported to the last version of Gymnasium.\n",
     "\n",
     "First, we are going to define a class *Params* for the Q-Learning parameters and the environment based on these values."
    ]
@@ -129,7 +129,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Running the environment"
+    "## Running the environment."
    ]
   },
   {
@@ -161,7 +161,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We want to plot the policy the agent has learned in the end. To do that the function *qtable_directions_map* perform these actions: 1. extract the best Q-values from the Q-table for each state, 2. get the corresponding best action for those Q-values, 3. map each action to an arrow so we can visualize it."
+    "We want to plot the policy the agent has learned in the end. To do that, the function *qtable_directions_map* performs these actions: 1. extract the best Q-values from the Q-table for each state, 2. get the corresponding best action for those Q-values, 3. map each action to an arrow so we can visualize it."
    ]
   },
   {
@@ -182,7 +182,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now we’ll be running our agent on a few increasing maps sizes: \n",
+    "Now we’ll be running our agent on a few increasing map sizes: \n",
     "- 4x4\n",
     "- 7x7\n",
     "- 9x9\n",
@@ -312,7 +312,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
+    "The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
     "\n",
     "© Carlos Á. Iglesias, Universidad Politécnica de Madrid."
    ]

ml5/qlearning.py

@@ -1,4 +1,4 @@
-# Class definition of QLearning
+# Class definition of QLearning 
 
 from pathlib import Path
 from typing import NamedTuple

python/1_0_Intro_Python.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "![](http://www.upm.es/sfs/Rectorado/Gabinete%20del%20Rector/Logos/UPM/EscPolitecnica/EscUpmPolit_p.gif \"UPM\")"
+    "![](https://github.com/gsi-upm/sitc/blob/9844820e6653b0e169113a06538f8e54554c4fbc/images/EscUpmPolit_p.gif?raw=true \"UPM\")"
    ]
   },
   {

python/1_1_Notebooks.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "![](http://www.upm.es/sfs/Rectorado/Gabinete%20del%20Rector/Logos/UPM/EscPolitecnica/EscUpmPolit_p.gif \"UPM\")"
+    "![](https://github.com/gsi-upm/sitc/blob/9844820e6653b0e169113a06538f8e54554c4fbc/images/EscUpmPolit_p.gif?raw=true \"UPM\")"
    ]
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python/1_2_Numbers_Strings.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "![](http://www.upm.es/sfs/Rectorado/Gabinete%20del%20Rector/Logos/UPM/EscPolitecnica/EscUpmPolit_p.gif \"UPM\")"
+    "![](https://github.com/gsi-upm/sitc/blob/9844820e6653b0e169113a06538f8e54554c4fbc/images/EscUpmPolit_p.gif?raw=true \"UPM\")"
    ]
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python/1_3_Sequences.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "![](http://www.upm.es/sfs/Rectorado/Gabinete%20del%20Rector/Logos/UPM/EscPolitecnica/EscUpmPolit_p.gif \"UPM\")"
+    "![](https://github.com/gsi-upm/sitc/blob/9844820e6653b0e169113a06538f8e54554c4fbc/images/EscUpmPolit_p.gif?raw=true \"UPM\")"
    ]
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python/1_4_Sets.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
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-    "![](http://www.upm.es/sfs/Rectorado/Gabinete%20del%20Rector/Logos/UPM/EscPolitecnica/EscUpmPolit_p.gif \"UPM\")"
+    "![](https://github.com/gsi-upm/sitc/blob/9844820e6653b0e169113a06538f8e54554c4fbc/images/EscUpmPolit_p.gif?raw=true \"UPM\")"
    ]
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   {

python/1_5_ControlFlow.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
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-    "![](http://www.upm.es/sfs/Rectorado/Gabinete%20del%20Rector/Logos/UPM/EscPolitecnica/EscUpmPolit_p.gif \"UPM\")"
+    "![](https://github.com/gsi-upm/sitc/blob/9844820e6653b0e169113a06538f8e54554c4fbc/images/EscUpmPolit_p.gif?raw=true \"UPM\")"
    ]
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python/1_6_Functions.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
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-    "![](http://www.upm.es/sfs/Rectorado/Gabinete%20del%20Rector/Logos/UPM/EscPolitecnica/EscUpmPolit_p.gif \"UPM\")"
+    "![](https://github.com/gsi-upm/sitc/blob/9844820e6653b0e169113a06538f8e54554c4fbc/images/EscUpmPolit_p.gif?raw=true \"UPM\")"
    ]
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python/1_7_Variables.ipynb

@@ -4,7 +4,7 @@
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    "metadata": {},
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-    "![](http://www.upm.es/sfs/Rectorado/Gabinete%20del%20Rector/Logos/UPM/EscPolitecnica/EscUpmPolit_p.gif \"UPM\")"
+    "![](https://github.com/gsi-upm/sitc/blob/9844820e6653b0e169113a06538f8e54554c4fbc/images/EscUpmPolit_p.gif?raw=true \"UPM\")"
    ]
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python/1_8_Classes.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
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-    "![](http://www.upm.es/sfs/Rectorado/Gabinete%20del%20Rector/Logos/UPM/EscPolitecnica/EscUpmPolit_p.gif \"UPM\")"
+    "![](https://github.com/gsi-upm/sitc/blob/9844820e6653b0e169113a06538f8e54554c4fbc/images/EscUpmPolit_p.gif?raw=true \"UPM\")"
    ]
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python/1_9_Errors_Exceptions.ipynb

@@ -4,7 +4,7 @@
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    "metadata": {},
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-    "![](http://www.upm.es/sfs/Rectorado/Gabinete%20del%20Rector/Logos/UPM/EscPolitecnica/EscUpmPolit_p.gif \"UPM\")"
+    "![](https://github.com/gsi-upm/sitc/blob/9844820e6653b0e169113a06538f8e54554c4fbc/images/EscUpmPolit_p.gif?raw=true \"UPM\")"
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python/1__10_Modules_Packages.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "![](http://www.upm.es/sfs/Rectorado/Gabinete%20del%20Rector/Logos/UPM/EscPolitecnica/EscUpmPolit_p.gif \"UPM\")"
+    "![](https://github.com/gsi-upm/sitc/blob/9844820e6653b0e169113a06538f8e54554c4fbc/images/EscUpmPolit_p.gif?raw=true \"UPM\")"
    ]
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   {

rdf/RDF.ipynb

@@ -63,7 +63,7 @@
     "\n",
     "# Tools\n",
     "\n",
-    "This notebook is self-contained, but it requires some python libraries.\n",
+    "This notebook is self-contained, but it requires some Python libraries\n",
     "To install them, simply run the following line:"
    ]
   },
@@ -137,13 +137,13 @@
     "This concept may be described as taking care of a dog, for example, whereas a different property `<http://yourwebsite.com/hasDog>` could be described as being the legal owner of the dog.\n",
     "\n",
     "\n",
-    "RDF can be used to embed annotation in many places, including HTML document, using any compatible format.\n",
+    "RDF can be used to embed annotation in many places, including HTML documents, using any compatible format.\n",
-    "The options include including RDFa, XML, JSON-LD and [Turtle](https://www.w3.org/TR/turtle/).\n",
+    "The options include including RDFa, XML, JSON-LD, and [Turtle](https://www.w3.org/TR/turtle/).\n",
     "\n",
     "\n",
     "In the exercises, we will be using turtle notation, because it is very readable.\n",
     "\n",
-    "For instance, turtle allows us to re-use parts of a previous triple to avoid repetition.\n",
+    "For instance, turtle allows us to reuse parts of a previous triple to avoid repetition.\n",
     "Our previous example would look like this:\n",
     "\n",
     "```turtle\n",
@@ -151,7 +151,7 @@
     "                            <http://example.org/age> 7\n",
     "```\n",
     "\n",
-    "Here's another example of document in Turtle, taken from the Turtle specification:\n",
+    "Here's another example of a document in Turtle, taken from the Turtle specification:\n",
     "\n",
     "```turtle\n",
     "@base <http://example.org/> .\n",
@@ -172,7 +172,7 @@
     "\n",
     "The second exercise will show you how to extract this information from any website.\n",
     "\n",
-    "As you can observe in these examples, Turtle defines several ways to specify IRIs in a result. Please, consult the specification for further details. As an overview, IRIs can be:\n",
+    "As you can observe in these examples, Turtle defines several ways to specify IRIs in a result. Please consult the specification for further details. As an overview, IRIs can be:\n",
     " * *relative IRIs*: IRIs resolved relative to the current base IRI. Thus, you should define a base IRI (@base <http://example.org>) and then relative IRIs (i.e. <#spiderman>). The resulting IRI is <http://example.org/spiderman>.\n",
     " * *prefixed names*: a prefixed name (i.e. foaf:Person) is transformed into an IRI by concatenating the IRI of the prefix (@prefix foaf: <http://xmlns.com/foaf/0.1) and the local part of the prefixed name (i.e. Person). So, the resulting IRI is <http://xmlns.com/foaf/0.1/Person\n",
     " * *absolute IRIs*: an already resolved IRI, p.ej. <http://example.com/Auto>."
@@ -200,17 +200,17 @@
     "These vocabularies can be reused in several applications.\n",
     "In the example above, we used the concept of person from an external vocabulary (`foaf:Person`, i.e. http://xmlns.com/foaf/0.1/Person).\n",
     "That way, we do not need to redefine the concept of Person in every application.\n",
-    "There are several well known vocabularies, such as:\n",
+    "There are several well-known vocabularies, such as:\n",
     "\n",
     "* Dublin core, for metadata: http://dublincore.org/\n",
     "* FOAF (Friend-of-a-friend) for social networks: http://www.foaf-project.org/\n",
     "* SIOC for online communities: https://www.w3.org/Submission/sioc-spec/\n",
     "\n",
-    "Using the same vocabularies also makes it easier to automatically process and classify information.\n",
+    "Using the same vocabulary also makes it easier to automatically process and classify information.\n",
     "\n",
     "\n",
-    "That was the motivation behind Schema.org, a collaboration between Google, Microsoft, Yahoo and Yandex.\n",
+    "That was the motivation behind Schema.org, a collaboration between Google, Microsoft, Yahoo, and Yandex.\n",
-    "They aim to provide schemas for structured data annotation of Web sites, e-mails, etc., which can be leveraged by search engines and other automated processes.\n",
+    "They aim to provide schemas for structured data annotation of websites, e-mails, etc., which can be leveraged by search engines and other automated processes.\n",
     "\n",
     "They rely on RDF for representation, and provide a set of common vocabularies that can be shared by every web developer.\n",
     "\n",
@@ -223,7 +223,7 @@
     "* Documentation for hotels: https://schema.org/docs/hotels.html\n",
     "\n",
     "\n",
-    "You can use the documentation to find properties (e.g. `checkinTime`), as well as the type of that property (e.g. `Datetime`)."
+    "You can use the documentation to find properties (e.g., `checkinTime`), as well as the type of that property (e.g. `Datetime`)."
    ]
   },
   {
@@ -326,7 +326,7 @@
     "# YOUR ANSWER HERE\n",
     "```\n",
     "\n",
-    "Depending on the exercise, you might need to fill that part with a Turtle definition (first exercise), some python code (second exercise), or plain text."
+    "Depending on the exercise, you might need to fill that part with a Turtle definition (first exercise), some Python code (second exercise), or plain text."
    ]
   },
   {

rdf/helpers.py

@@ -1,4 +1,4 @@
-import sys
+import sys 
 from future.standard_library import install_aliases, print_function
 install_aliases()
 

rdf/requirements.txt

@@ -1,5 +1,5 @@
 future
-rdflib
+rdflib 
 rdflib-jsonld
 lxml
 html5lib

rdf/tests.py

@@ -1,6 +1,6 @@
 from future.standard_library import print_function
 import operator
-import types
+import types 
 import sys
 from rdflib import term, RDF, Namespace
 

requirements.txt

@@ -2,7 +2,7 @@ future
 rdflib
 rdflib-jsonld
 lxml
-html5lib
+html5lib 
 scikit-learn
 seaborn
 pydotplus

sna/0_Intro_Network_Analysis.ipynb

@@ -97,7 +97,7 @@
    },
    "source": [
     "## Licence\n",
-    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
+    "The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
     "\n",
     "© Carlos A. Iglesias, Universidad Politécnica de Madrid."
    ]

sna/1_First_Steps.ipynb

@@ -1244,7 +1244,7 @@
     }
    },
    "source": [
-    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
+    "The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
     "\n",
     "© Carlos A. Iglesias, Universidad Politécnica de Madrid."
    ]

sna/2_Working_with_Graphs.ipynb

@@ -956,7 +956,7 @@
     }
    },
    "source": [
-    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
+    "The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
     "\n",
     "© Carlos A. Iglesias, Universidad Politécnica de Madrid."
    ]

sna/2a_Florentine_Families_Star_Wars.ipynb

@@ -326,7 +326,7 @@
     }
    },
    "source": [
-    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
+    "The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
     "\n",
     "© Carlos A. Iglesias, Universidad Politécnica de Madrid."
    ]

sna/3_Network_Analysis.ipynb

@@ -2173,7 +2173,7 @@
     }
    },
    "source": [
-    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
+    "The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
     "\n",
     "© Carlos A. Iglesias, Universidad Politécnica de Madrid."
    ]

sna/4_Social_Networks.ipynb

@@ -808,7 +808,7 @@
     }
    },
    "source": [
-    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
+    "The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
     "\n",
     "© Carlos A. Iglesias, Universidad Politécnica de Madrid."
    ]

sna/5_Pandas.ipynb

@@ -415,7 +415,7 @@
     }
    },
    "source": [
-    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
+    "The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
     "\n",
     "© Carlos A. Iglesias, Universidad Politécnica de Madrid."
    ]