[Chennaipy] minutes of meeting dated 26-12-2020

[MURALIDHARAN MURUGESAN]

Dear Members 
I am pleased to forward the minutes of the meeting dated 26.12.2020



Minutes of the meeting dated 26-12-2020


Chennaipy  December meet up   was convened on 26 12 2020  at 3:00 p.m. through online.  Mr Rangaraj and Mr.Vijayakumar  chaired the meeting. 29 members attended the meeting. After the introduction of members the talks started in order.

[3.10] Mr Vijaya Kumar - Introduction
   
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He briefed the members about the meetup  and its objectives. 

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He also narrated the reason for conducting the  meetup online  due to covid-19   pandemic.  


[3.20] Development progress tracker with python & pandas - a case study  -  Speaker: Krishnan
   
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He discussed with current prevailing situation due to covid 19 pandemic where most of the projects are done in WFH

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How to track the progress the development of project using python and pandas

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He compared the Agile framework and Jeera

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Minimum Viable Product completed with iteration


[3.40]  Dynamic Analysis of C Code with Python  -  Speaker: Vijay Kumar
   
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Use of extensibility of python into c code

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Tracing the file status and to see the resources are properly closed.

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Use of  a tool called uftrace and how to identify the resource leak


[3.55] Split, dictionary, MAC address  -  Speaker: Rengaraj
   
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Use of dictionary to split the MAC address - 

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Converting the data set into dictionary by splitting  the mac and hexadecimal address seperately

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He addressed the issues in it  especially the multiple colon available in the data set

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Use of string.split(":", 1)

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https://github.com/gnurenga/talks/blob/master/split/code/string_operation.py 


[4.12]  Introduction to Theedhum Nandrum  -  Speaker: Sundar
   
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Adjourned 


[4.15]  Optimization in python -  Speaker: Deepak Rayathurai
   
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How to optimize the resources

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To increase the speed and performance

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Bytecode level optimization

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Machine independent and dependent optimization

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Peephole or window optimization


[4.35] Let’s democratise AI Dashboards.  -  Speaker: Sai Varadan
   
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He discussed dashboard and , internal analytics.

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H2o.ai an open source machine learning platform

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He also discussed automatic Machine learning platform - Driverless AI

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https://www.h2o.ai/products/h2o/ 

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He compared plotly for data visualization


[4.50] Jupyter Notebook Usage - basics + advanced  --  Speaker: Arunram
   
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He explained how jupyter Notebook can be more useful in data science applications.

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It can be used in exploratory data analysis

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Live demonstration of jupyter notebook, converting Python version 2 to 3

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Data Visualization

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Conversion into slides, Py Widgets and Cell Magic

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https://github.com/arunatma/Talks/blob/main/JupyterNbsAdvanced.ipynb 


 [5.05]  Introduction to Theedhum Nandrum  -  Speaker: Sundar
   
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Theedum Nandrun is a classifier built using Logistic Regression on features tailored for code-mixed text which we see in social media where people type Tamil in Roman alphabets.

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He explained the machine learning methods used to classify the data - Sentiment Polarity classifier and Logistic Regression

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https://github.com/oligoglot/theedhum-nandrum


[5.21] My experience with GraphQL  -      Speaker: Thangaselvi
   
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GraphQL is a query language, a specification, and a set of tools that operates over a single endpoint using HTTP. 

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It takes and returns data in Json Format

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She demonstrated the GraphQL and compared the same with REST API

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She also discussed about query, mutation and subscription

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Graphene-Python   
   
   
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Graphene-Python
   
Graphene framework for Python
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[5.35] Mr.Rengaraj proposed the vote of thanks with wishes from the members for a happy new year.


Dr.M.MURALIDHARANHEADDEPARTMENT OF COMPUTER SCIENCENEHRU MEMORIAL COLLEGE[AUTONOMOUS]PUTHANAMPATTI - 621 007TIRUCHIRAPPALLI DISTRICTPHONE : 04327 234 8100431 2712247[RES]94866 46708mm_nmc @yahoo.com
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