Python

Creating List in Python

Lists are probably the most versatile data structures in Python. A list can be defined by writing a list of comma separated values in square brackets. Lists might contain items of different types. Python lists are mutable – individual elements of a list can be changed while the identity does not change. Country =[‘NEPAL’,’INDIA’,’USA’,’GERMANY’,’UK’,’AUSTRALIA’] Temperature …

Introduction to NumPy: useful cheat sheets

The NumPy library is the core library for scientific computing in Python. It provides a high-performance multidimensional array object, and tools for working with these arrays. This post is an effort to collect useful numpy commands in one place to make your computing task easier. Before moving forward, make sure that you’ve installed Python and …

Top Data Visualization Software to get started

Free Trial https://www.predictiveanalyticstoday.com/microsoft-power-bi/ https://www.predictiveanalyticstoday.com/sql-server-reporting-services/   https://www.logianalytics.com/analytics-platform/ DATAPINE: https://www.datapine.com/ ATTIVO: https://www.attivio.com/ BELLADATI: http://www.belladati.com/ TABLEAU DESKTOP: https://www.tableau.com/products/desktop TABLEAU CLOUD BI: https://www.tableau.com/products/cloud-bi PERISCOPE DATA: https://www.periscopedata.com/ PYRAMID ANALYTICS: https://www.pyramidanalytics.com/ DATAMEER: https://www.datameer.com/ PENTAHO: http://www.pentaho.com/product/product-overview IBM ANALYTICS: https://www.ibm.com/analytics WATSON ANALYSIS: https://www.ibm.com/watson-analytics MICRO STRATEGY: https://www.microstrategy.com/us INFORMATION BUILDERS: https://www.informationbuilders.com/products TIBCO SPOTFIRE PLATFORM: https://spotfire.tibco.com/products/tibco-spotfire-platform DOMO: https://www.domo.com/ TARGIT: https://www.targit.com/en  

Python for Data Science: An Introduction

In technical terms, Python is an object-oriented, high-level programming language with integrated dynamic semantics primarily for web and app development. It is extremely attractive in the field of Rapid Application Development because it offers dynamic typing and dynamic binding options. Python is relatively simple, so it’s easy to learn since it requires a unique syntax …