GitHub : My GitHub space

Interested in python ?

Feel free to visit my GitHub profile : https://github.com/amathe1/python_practise

I have created separate folders for each topic in Python and committed code to GitHub. I will be focusing more functionalities including advanced concepts and will continue committing code in this space.

Please watch out my GitHub space for more code.

Have a great day!

Arun Mathe

Gmail ID : arunkumar.mathe@gmail.com

Contact No : +91 9704117111

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Python : Python for Spark

Python is a general purpose programming language, that is used for variety of tasks like web-development, Data analytics etc. Initially Python is developed as a functional programming language, later object oriented programming concepts are also added to Python. We will see what basics we need in Python to play with Spark. Incase if you want to practice Spark in Big Data environment, you can use Databricks. URL : https://community.cloud.databricks.com This is the main tool which programmers are using in real time production environment We have both Community edition(Free version with limited support) & paid versions available Register for above tool online for free and practice Indentation is very important in Python. We don't use braces in Python like we do in Java, and the scope of the block/loop/definition is interpreted based on the indentation of code. Correct Indentation : def greet(): print("Hello!") # Indented correctly print("Welcome ...

AWS : Working with Lambda, Glue, S3/Redshift

This is one of the important concept where we will see how an end-to-end pipeline will work in AWS. We are going to see how to continuously monitor a common source like S3/Redshift from Lambda(using Boto3 code) and initiate a trigger to start some Glue job(spark code), and perform some action. Let's assume that, AWS Lambda should initiate a trigger to another AWS service Glue as soon as some file got uploaded in AWS S3 bucket, Lambda should pass this file information as well to Glue, so that Glue job will perform some transformation and upload that transformed data into AWS RDS(MySQL). Understanding above flow chart : Let's assume one of your client is uploading some files(say .csv/.json) in some AWS storage location, for example S3 As soon as this file got uploaded in S3, we need to initiate a TRIGGER in AWS Lambda using Boto3 code Once this trigger is initiated, another AWS service called GLUE(ETL Tool) will start a Pyspark job to receive this file from Lambda, perform so...

AWS : Boto3 (Accessing AWS using Python)

Boto3 is the Amazon Web Services software development kit for Python, which allows Python developers to write software that makes use of services like Amazon S3 and Amazon EC2. Boto3 is maintained and published by AWS. Please find latest documentation at : https://boto3.amazonaws.com/v1/documentation/api/latest/index.html Command to install it : pip install boto3 Local storage Vs Cloud storage: Local file system is block oriented, means storage is divided into block with size range 1-4kb Collections of multiple blocks is called a file in local storage Example : 10MB file will be occupying almost 2500 blocks(assuming 4kb each block) We know that we can install softwares in local system (indirectly in blocks) Local system blocks managed by Operating system But Cloud storage is a object oriented storage, means everything is object No size limit, it is used only to store data, we can't install software in cloud storage Cloud storage managed by users We need to install either Pyc...

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