Implement iot using python

Implement iot using python

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  FABRIKAM IMPLEMENT IOT USINGPYTHON P y t h o n & I n t e r n e t o f T h i n g s Presented By : IoTIAN Innovator
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  FABRIKAM 2 TOPICSTO BECOVERED ABOUT IoT WHY WE USED PYTHON In IoT? PYTHON package
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  FABRIKAM About IoT = The recipefor the internet of things is very simple. A 'thing', which could literally be anything, is fitted with an embedded system which connects it to the internet, in other words, it has its own IP address.
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  FABRIKAM Why We usedPython In IoT? 4 IoT occupies a place of importance in Wireless Sensor Networks, Data Analytics, Cyber Physical Systems, Big Data and Machine Learning. It is also very focused on real time analytics and processes. So, for the development of an IoT solution, one would need a programming language which is PYTHON. Because PYTHON is most popular & has all the facility to do all these things using his libraries.
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  FABRIKAM 5 Most popularlanguage
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  FABRIKAM 6 ImplementIoTUsing PYTHON mraa Sockets Mysqldb Numpy Matplotlib Pandas Opencv Tkinter Tensorflow Paho-mqtt We w i l l b e d i s c u s s i n g t h e P Y T H O N p a c k a g e s w h i c h w e u s e d f o r d e v e l o p i n g I o T A p p l i c a t i o n i n P Y T H O N .
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  FABRIKAM mraa This library isused in microcontrollers like: IntelEdition, Radpberry pi. Being a high level library, reading from and writing to pins is a one line affair, and the library also provides support for communication protocols such as I2C, UART and SPI.
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  FABRIKAM 8 Socket sockets isa package which facilitates networking over TCP/IP and UDP using Python. One of the more interesting uses of sockets, is that one can build their own communication protocol using this package as the base.
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  FABRIKAM 9 mysqldb A databaseis a no-brainer when it comes to most IoT applications. For something whose sole purpose is to send data to the internet, for generating some prediction using machine learning .
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  FABRIKAM 10 numpy This packageis use for scientific computing using python. very similar to MatLab, but much lighter. The feature I use most is to read sensor data in bulk from my databases and work on them using the inbuilt functions.
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  FABRIKAM 11 matplotlib Data visualizationis one of the most fundamental operations that can be performed. It looks pretty impressive when you convert a huge list of numbers to a concise graph which can be understood intuitively. matplotlib provides a number of different styles of graphs that can be plotted using local data.
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  FABRIKAM 12 pandas pandas isa package dedicated towards data analysis. It is in essence, a local alternative to using SQL databases which is more suited to dealing with data as it is built on numpy.
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  FABRIKAM 13 opencv Opencv isa Python port of the very successful C library for image processing. It contains high-level variants of familiar image processing functions which make photo analysis much easier. The big brother of signal processing, image processing.
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  FABRIKAM 14 tkinter Tkinter isa GUI development library which comes bundled in with all distributions of Python. This is extremely useful in situations such as functionality testing or repeated executions of the same code.
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  FABRIKAM 15 tensorflow This libraryis also used for applying ML to IoT Objects. This is a very useful library to have if you deal with a lot of non linear datasets or work extensively with decision trees and neural networks.
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  FABRIKAM 16 paho-mqtt This libraryis used for fast communication using MQTT protocol in PYTHON. MQTT requests can be made directly within Python, without any additional setup to be done. Especially useful in the prototyping stage.
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  FABRIKAM https://www.element14.com/community/groups/internet- of-things/blog/2017/02/17/iot-with-python-essential- packages https://in.pycon.org/2018/ 17 References
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  FABRIKAM THANK YOU