The August Golang Bangalore Meetup was conducted on Saturday, August 26, 2017 at Red Hat India Pvt. Ltd. Since the event took place around the holidays, there were less number of people who turned up for the event.
The meetup started at 10:30 with the first talk by Nurali Virani who works at SAP Labs, Bengaluru. He talked about “Understanding Slice & Map in Golang”. Nurali’s talk was a beginner friendly talk. He explained the concepts in very detail and by live coding. He addressed each and every question raised by the participants. The code written by Nurali during his demo can be found here.
The next talk was done remotely by Steve Manuel. Steve (@nilslice) lives in Boulder, Colorado. He is the co-founder of Boss Sauce Creative. Steve talked about his open source project Ponzu. Ponzu is a headless CMS with automatic JSON API, featuring auto HTTPS, HTTP/2 Server Push, and flexible server framework written in Go. The slides related to his talk can be found here. Other related resources: Github, Docs, Addons. To know more about ponzu, join #ponzu on gophers.slack.com. You can receive invitation to join Slack from here: https://invite.slack.golangbridge.org
Fortunately, Steve’s talk is recorded. The recording can be found here.
I thank Udayakumar Chandrashekhar and Red Hat India Pvt. Ltd. for helping us to organize the August Golang Bangalore Meetup by providing venue and food.
I started with the Jira Issue. This was my first issue in golang. While solving this issue, i learnt the usage of “go get” command in golang. It downloads + installs an upstream package. For example, this is an upstream package which I used in the Jira Issue –> github.com/andygrunwald/go-jira
So, I installed+downloaded the package using following command:
go get github.com/andygrunwald/go-jira
The package got installed:
I learnt how to take input from command-line flags using “flag” package. To do this:
import flag package using:
Declare the variable in which you want to store the input
var username string
flag.StringVar(&username, "uname", "", "Username")
The first argument &uname is a pointer which stores the input value.
The second argument is the flag name which you use on the command line e.g. “-username”.
The third argument is the default value of the flag input.
The fourth argument is the description of the flag.
Parse the flag:
Next, I learnt to work with “net/http” package and how to parse http response in Go. Although I didnt use the package for this issue but I did experiment with it.
I used “reflect” package to find out the data type of http response. The two commands i used were:
April Pune Python Meetup (@PythonPune) was conducted on April 30, 2016 at Redhat, Pune. Around 70 people registered for the meetup but the turnout was around 72-73. A few people registered on the spot.
Python Pune Meetups are organised by Chandan Kumar (@ciypro) who is a fellow RedHat employee, a python programmer and FOSS enthusiast who has contributed to many upstream projects.
The meetup started around 10:45 with the introduction where everybody introduced themselves. Almost everybody knew python. There were 1-2 people who did not know python. There were a few people who were experience in machine learning and some who were completely new to Machine Learning. I had a course on machine learning in my college where i learnt the theory and did some practical assignments in R language. The crowd was diverse consisting of students, data scientists, professors and people of various age groups 18 – 70.
This speakers of this meetup were Satish Patil (@DataGeekSatish) and Sudarshan Gadhave (@sudarshan1989) who took a session on Introduction to Machine Learning.
Satish Patil is the Founder and Chief Data Scientist of Lemoxo Technologies, Pune where he advises companies large and small on their data strategy. He has 10+ years of research experience in the field of drug discovery and development. He told a few real life machine learning examples from his field in the meetup!
Satish is passionate about applying technology, artificial intelligence, design thinking and cognitive science to better understand, predict and improve business functions. He has a great interest in Machine Learning, Artificial Intelligence, Data Visualisation, Big Data.
Satish covered the following topics:
What is Machine Learning
The Black Box of Machine Learning
training and test data set
pure and impure states
supervised and unsupervised learning
market basket analysis
Titanic data set
K means algorithm
Although Machine Learning is a vast concept and it definetly requires more sessions to grasp, but Satish made a remarkable effort in making us understand all the above topics in layman terms.
There are a lot of books, courses, material available online for Machine Learning, so why this meetup? Well, the best part about this meetup was the way Satish explained the BUSINESS CONTEXT of MACHINE LEARNING. This was something new for me to learn. Getting to know the real life examples from the entrepreneur-cum-data scientist was really interesting.
The details of his talk will be in my next blog.
Chandan Kumar talked about Fedora Labs. The Fedora science spin comes pre-installed with essential tools for scientific and numerical work like IDE, tools and libraries for programming in Python, C, C++, Java and R. It basically eliminates the need to download a bunch a scientific packages which you need.
If you need any help regarding the spin, you can get help from #fedora-science channel on Freenode on IRC.
As Chandan Kumar ALWAYS encourages us to contribute to open source, he introduced us to WHAT CAN I DO FOR FEDORA?. Pune Python meetups and Devsprint are a great platform to seek for help if you want to contribute to opensource.
Thanks to Satish Patil and Sudarshan Gadhavefor conducting an awesome workshop! We hope to see more such workshops by you in the meetups.
Thanks to RedHat for the food, beverages and venue.
Thanks to Chandan Kumar,Pravin Kumar (@kumar_pravin), Amol Kahat, Sudhir Vermafor organising such interesting meetups where we always learn something new 🙂