Account Options>

  1. Sign in
Pyladies
Comments
 Share
The version of the browser you are using is no longer supported. Please upgrade to a supported browser.Dismiss

 
£
%
123
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
|
 
Still loading...
ABCDEFGHIJKLMNOPQRSTUVWXYZ
1
Themes, libraries you can/want to talk about
Themes, libraries you want to learn more about
For the 3rd Meetup:Things to share in an informal short talk (no slide required)
2
Justinematplotlib, PIL (Image Library), bottle (small web framework), django (not much experience but willing to look it up to do a webapp workshop), ModestMaps (to make maps out of map tiles), evernote API, virtualenv, regular expressionsdjango, scientific/machine learning libraries, oauth, APIs, raspberry pi/objects connected to the internet project, bokeh and other data visualisation libraries
3
EleonoreOOP (classes & objects), best practices (would have to look it up), Flask web framework Data analysis, data visualisation, machine learning, raspberry pi/arduino
4
CorinneMy Python learning journey from beginner to (um...) still quite beginner: Coursera, books, free resources. Getting started with the Raspberry Pi (general overview with a bit of Python perspective).Data analysis and visualisation, Pygame, Raspberry Pi. Using Python scripts with GIMP and Inkscape.
5
MartaLearning resources (hi Corinne!), how to write a proposal and present a talk or poster for a conference (I presented a poster at PyCon and you can do it too!)Django (other web frameworks too, but I'd start with Django), Raspberry Pi (or Arduino: I've never done anything like it, I would love to try), please force me to do some hands-on coding ;-)
6
GaliyaCompletely new to Python, so not much to talk about .. yetData analysis and visualisation, Flask
7
JacquiWe are visual analytice specialists (the world beyond data visualisation) and my CTO and I are datajournalists. We have built a mapping product in Python which plugs into our Data Viz platform using python. The lessons learned are many and we would be keen to share this.Python is our tool of choice whether for the Raspberry Pi work we do as STEM ambassadors in the games industry or in some of our GCHQ accredited Cloud platforms. I'd like to understand how best to recruit folks either on a temporary basis for particular projects or as we build out the R estate with Python on our Data Viz platforms new hires for the company. Any help about how best to do this would be appreciated.
8
JacquiHappy to also do a data viz session at some point whether as a talk or hands on. My new book http://www.flyingbinary.com/#events has lots of data viz resources in plus my visual analytics chapter. It is a reboot of the datajournalism industry which we are credited at co founding. I'd be happy ot talk about this book and give the group a discounted purchase price if you'd like.
9
Rita Total NewbieData visualisation, analysis and web scraping for starters
10
NandhiniNot very familiar in PythonScripting and using it with DB
11
KalinaFabric -for executing shell + python commands on a local or remote machines, Waf for building python projects, Virtualenv for creating an isolated Python environment for your project. Stdlib for creating installable Deb and RPM packages. I generally would like to have some intersting Python projects that would provoke me to write more stuff so that I can become more fluent in Python and not looking up the syntax or ways of doing stuff on the internet every 5 seconds :)
12
Nicola Hughesrequests, csv, json, BeautifulSoup i.e. scrapingnumpy, scipy, scikit-learn, pandas, matplotlib
13
Annedata analytics - pandas, numpy, general best practices
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
Loading...
 
 
 
Sheet1