-
Notifications
You must be signed in to change notification settings - Fork 1
/
events.py
48 lines (48 loc) · 3.29 KB
/
events.py
1
2
3
4
5
6
7
8
9
10
11
12
13
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
events= {
'Introductory and Live Coding session on Flutter': {
'desc': 'A collaboration with DSC BVP for a workshop to introduce Flutter to students and compared it with existing technologies.\n\nDid a live coding session to show Flutter in action followed by connecting with others and swag distribution.',
'timestamp': 'Jan 30, 2020 at 17:30',
'image': 'flutter.jpg',
'links': [
{
'linkName': 'Drive Link of the day.',
'linkHref': 'https://drive.google.com/drive/folders/1ak_gQzNI3ktvUMbzBKKwEiumqN1GPtyY'
}
]
},
'GSoC Outreachy session and AMA': {
'desc': 'GSoC and Outreachy season is on the horizon, so Byld and DSC have decided to hold an information and AMA session on these two programs. We have got a bunch of former interns to share their experience and answer all your queries. First and second years are encouraged to attend.',
'timestamp': 'Jan 23, 2020 at 17:30',
'image': 'outreachy.jpg'
},
'Google Cloud Platform Crash Course': {
'desc': 'Ever thought of learning about Google Cloud Platform? We’ve got you covered. DSC VIT in collaboration with Developer Student Clubs and Qwiklabs brings to you #GCPCrashCourse, the best way to get started with Google Cloud Platform.\n\nHelped students to learn the Google cloud platform. Many students completed the course and appreciated the power of cloud computing!',
'timestamp': 'Oct 31, 2019 at 21:00',
'image': 'gcp.jpg',
'links': [
{
'linkName': 'GCPCrashCourse',
'linkHref': 'https://dsc.iiitd.edu.in/gcpcrashcourse.html'
}
]
},
'Tensorflow Workshop': {
'desc': 'With Tensorflow 2.0 released in alpha recently, we want to bring the community upto speed with the new version of the framework. This workshop is a step in that direction!\n\nIn the first session of the workshop, we introduced the participants to a typical ML pipeline and talked about various paradigms of learning (Supervised, Unsupervised, etc.).\n\nWe also demo-ed three basic ML algorithms for the participants to be able to see them in action and learn the math and intuition behind them. These algorithms were:\n\n— Linear Regression\n\n— K-Nearest Neighbours\n\n— K-means clustering\n\nAt the end of the session, we opened a Kaggle contest for the students to participate in and play around with what they learnt.\n\nWith this session, we want to make our path towards Deep Learning, motivate it in a manner that makes the community realise the importance of Deep Learning techniques and why they are necessary. Additionally, our end goal is to bring them to a point where they can explore Deep Learning on their own with Tensorflow!',
'timestamp': 'Apr 15, 2019 at 17:30',
'image': '2019-04-15-tensor-flow.jpg',
'speakers': [
{
'linkName': 'Aditya Chetan',
'linkHref': 'mailto:[email protected]'
},
{
'linkName': 'Shubham Thakral',
'linkHref': 'mailto:[email protected]'
},
{
'linkName': 'Divyam Anshumaan',
'linkHref': 'mailto:[email protected]'
}
]
}
}