October 9, 2019

PYTHON

Python is a general purpose programming language. It can do almost all of what other languages can do a comparable or faster speed. It is often chosen by data analysts and data scientists for prototyping, visualization, and execution of data analyses on data sets.

With data-focused libraries, like Pandas, NumPy, and Matplotlib, anyone familiar with Python’s syntax and rules can use it as a powerful tool to process, manipulate, and visualize data.

Pandas can do a lot of the things SQL can do, but it’s also backed by the power of Python, so we can easily transition from analyzing our data with Pandas to visualizing it using other Python tools.

Matplotlib allows people to create line charts, pie charts, and more. It gives precise control over colors and labels so people can create the perfect chart to communicate findings.

Machine Learning is the science of getting computers to learn and act like humans do and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world instructions.

A relational database is a type of database. It uses a structure that allows us to identify and access data in relation to another piece of data. Often, data in a relational database is organized into tables.

The set of columns and data types make up the scheme of a table.

A relational database management system (RDBMS) is a program that allows you to create, update, and administer a relational database. Most relational database management systems use the SQL language to access the database.