[Chennaipy] Meeting minutes of 6/27/2020 Chennai py

Gaurav Sehrawat igauravsehrawat at gmail.com
Tue Jun 30 11:34:43 EDT 2020


Thanks Ashok.

Much needed informative show suggestions. :)

Also talks looks awesome. Thanks for the meeting minutes Pradeep.

Cheers

On Tue, Jun 30, 2020 at 5:20 AM Ashok Govindarajan <gashok2 at gmail.com>
wrote:

> Dear All,
>
> I had provided 4 references during the lightning talk on June 27th meetup.
> They are all available in Netflix and are named as 1. NOVA : Prediction by
> the numbers. 2 The code (3 episodes).
> I thought it maybe better to set the context as to why I suggested them.
>
> The context is as follows: I find them interesting as I am able to relate
> to Math related concepts better, after watching it.
> For example, abstract concepts like Baye's theorem are used in finding
> people who have lost their way in sea.  (The name of the tool/software is
> SAROPS).
> Like this there are also other references to fractals, prime numbers and
> breeding cycles of an insect named cicada
> etc connecting the mathematical world to real-life happenings.
>
>
> Hence, I thought I would share this, so that one would get a certain
> perspective of math, even though it may be hard to understand the
> underlying equations.
>
> Rgds, Ashok
>
>
>
> On Sat, Jun 27, 2020 at 9:20 PM Pradeep Padmanaban <
> pradeeppadmanaban7 at gmail.com> wrote:
>
>> *Role of Python in ETL- Deepak*
>>
>> ETL - Extract, Transform and Load
>>
>> Python used to customize ETL because of easy to read, write and execute
>> structure
>>
>> Python ETL tools:
>>
>>    1.
>>
>>    Petl - Example with converting 4x2 array to html
>>    2.
>>
>>    Pandas - has lot of implementations in which etl with
>>    transformations, conditional
>>
>> Example - load the data from file , find duplicates and send it to
>> another file
>>
>>    1.
>>
>>    Mara - Light weight , web based ui(special feature)
>>    2.
>>
>>    Apache Airflow- created by Airbnb, DAG(Directed Acyclic Graphs)
>>    3.
>>
>>    Pyspark - Big Data tool, Data streaming , ML on top of streaming
>>    4.
>>
>>    Bonobo - Supports Parallel processing
>>    5.
>>
>>    Luigi - Created by spotify, for enterprise level solution (more
>>    incoming data every minute)
>>    6.
>>
>>    AVIK Cloud - Not open source. Python can be implemented directly. Its
>>    a software as a service product
>>
>> Doubts :
>>
>> Ashok: Can you explain me pipeline
>>
>> Deepak: For enterprise level activity i have multiple operations in
>> parallel so pipelines are created.
>>
>> *Introduction to Cyclic Redundancy Check (CRC)- Ashok*
>>
>> Also called frame check sequence
>>
>> Types of Errors -
>>
>>    1.
>>
>>    Single Bit error
>>    2.
>>
>>    Burst error
>>
>> Error detection in Computer Network errors- Add Redundancy bits
>>
>>    1.
>>
>>    A basic example - to transmit 1000 bits from CP1 to CP2 + 125
>>    redundancy bit
>>    2.
>>
>>    State Machine
>>    3.
>>
>>    2 dimensional Parity Check - for 32 bit extra 13 bits are send
>>    4.
>>
>>    Checksum - Binary Addition
>>    5.
>>
>>    CRC - most common used in digital systems
>>
>> i) State machine
>>
>> ii) CRC computation -XOR in Polynomial Division
>>
>> iii) Code walk through
>>
>> Conclusion - we may get a CRC error if we open the harddrive.
>>
>>
>> *Open Slot:*
>>
>> Ashok - Documentary suggestion - Prediction by the numbers, The Code both
>> are available in Netflix
>>
>> Rengaraj - Pycon İndia 2020
>>
>> Pradeep -Mit Opencourseware https://ocw.mit.edu/index.htm
>>
>> Vijay Ravider - python modules used in infrastructure based provisioning
>> services
>>
>>
>>
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