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100-python-challenging-programming-exercises

answers for the questions

algorithms-explanation

All Algorithms explained in simple English Language with example and links to their implementation in various programming languages and other required resources.

amazon-redshift-modernize-dw

Can you set up a data warehouse and create a dashboard in under 60 minutes? In this workshop, we show you how with Amazon Redshift, a fully managed cloud data warehouse that provides first-rate performance at the lowest cost for queries across your data warehouse and data lake. Learn the steps and best practices for deploying your data warehouse in your organization. Also, learn how to query petabytes of data in your data warehouse and exabytes of data, without loading or moving, in your Amazon S3 data lake. Finally, learn how to easily migrate from traditional or on-premises data warehouses.

amazon-redshift-monitoring

Amazon Redshift Advanced Monitoring

amazon-redshift-query-patterns-and-optimizations

In this workshop you will launch an Amazon Redshift cluster in your AWS account and load sample data ~ 100GB using TPCH dataset. You will learn query patterns that affects Redshift performance and how to optimize them. In this lab we will also provide a framework to simulate workload management (WLM) queue and run concurrent queries in regular interval and measure performance metrics- query throughput, query duration etc. We will also provide some use cases for Redshift spectrum to query data from s3 in columnar format such as Parquet.

amazon-redshift-tiered-storage

Amazon Redshift offers a common query interface against data stored in fast, local storage as well as data from high-capacity, inexpensive storage (S3). This workshop will cover the basics of this tiered storage model and outline the design patterns you can leverage to get the most from large volumes of data. You will build out your own Redshift cluster with multiple data sets to illustrate the trade-offs between the storage systems. By the time you leave, you’ll know how to distribute your data and design your DDL to deliver the best data warehouse for your business.

amazon-redshift-utils

Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment

aws-concurrent-data-orchestration-pipeline-emr-livy

This code demonstrates the architecture featured on the AWS Big Data blog (https://aws.amazon.com/blogs/big-data/ ) which creates a concurrent data pipeline by using Amazon EMR and Apache Livy. This pipeline is orchestrated by Apache Airflow.

aws-redshift-spectrum-poc

Cloudformation and SQL scripts used to replicate a POC environment from the "Data Lake to Data Warehouse: Enhancing Customer 360 with Amazon Redshift Spectrum" post

data-science--cheat-sheet

Cheat Sheets

emr-bootstrap-actions

This repository hold the Amazon Elastic MapReduce sample bootstrap actions

emr-sample-apps

Amazon Elastic MapReduce code samples

gold-prices

Gold prices data package

mathan

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

practicalai

📚 A practical approach to learning and using machine learning.

python

All Algorithms implemented in Python

python-100-exercises-notebook

Python 100 exercises, version Notebook, seperated by 10 questions each

python-programming-exercises

100+ Python challenging programming exercises

ruby

scala

All Algorithms implemented in Scala