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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 <div align="center"> 
<h1>Welcome to </h1>
<br>
</div>
<div align="center">
<img src='media/mapamundi-bilbao.jpg' width="100%" />
</div>
<div align="center"> 
<h1>Welcome to </h1>
</div>
<div >
<img src='media/05-Secondary Logo B.png' width=512 />
</div>
Ho we are
Fabio Pliger
@fpliger
 - EPS Board member
Oier Echaniz
@oiertwo
 - ACPySS Chair (On-site team)
<div class="col-md-8"> 
<h1>Attendees evolution</h1>
</div>
<div class="col-md-4">
<img src='media/05-Secondary Logo B.png' width=512 />
</div>
Step1:  Attendees evolution
IN BILBAO
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Python Code:
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
data = [('year', 'location', 'attendees'),
       (2002, 'Charleroi', 240),
        (2003, 'Charleroi', 300),
        (2004, 'Göteborg', 'nan'),
        (2005, 'Göteborg', 'nan'),
        (2006, 'Geneva', 'nan'),
        (2007, 'Vilnius', 'nan'),
        (2008, 'Vilnius', 206),
        (2009, 'Birmingham', 410),
        (2010, 'Birmingham', 446),
        (2011, 'Florence', 670),
        (2012, 'Florence', 760),
        (2013, 'Florence', 870),
        (2014, 'Berlin', 1250),
        (2015, 'Bilbao', 1100),]
names = data[0]
eps = {name: [] for name in names}
for line in data[1:]:
    for pos, name in enumerate(names):
        eps[name].append(line[pos])
plt.plot(eps['year'], eps['attendees'])
Explanation: <div align="center"> 
<h1>Welcome to </h1>
<br>
</div>
<div align="center">
<img src='media/mapamundi-bilbao.jpg' width="100%" />
</div>
<div align="center"> 
<h1>Welcome to </h1>
</div>
<div >
<img src='media/05-Secondary Logo B.png' width=512 />
</div>
Ho we are
Fabio Pliger
@fpliger
 - EPS Board member
Oier Echaniz
@oiertwo
 - ACPySS Chair (On-site team)
<div class="col-md-8"> 
<h1>Attendees evolution</h1>
</div>
<div class="col-md-4">
<img src='media/05-Secondary Logo B.png' width=512 />
</div>
End of explanation
data = [('year', 'location', 'attendees'),
       (2014, 'Bilbao', 0),
        (2015, 'Bilbao', 1100)]
names = data[0]
eps = {name: [] for name in names}
for line in data[1:]:
    for pos, name in enumerate(names):
        eps[name].append(line[pos])
plt.plot(eps['year'], eps['attendees'])
Explanation: Attendees evolution
IN BILBAO
End of explanation
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