In this part the main way we will be working with Python and Spark is through the DataFrame Syntax. If you have worked with pandas in Python, R, SQL or even Excel, a DataFrame will feel very familiar! Spark DataFrames hold data in a column and row format Each column represents some feature or variable […]
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Python Pandas Groupby
We start step by step with Groupby Groupby is a pretty simple concept. We can create a grouping of categories and apply a function to the categories. Here you can add your file with pd.read_csv() Method Pandas dataframe.groupby() function is used to split the data into groups based on some criteria. pandas objects can be […]
Infor Coleman – the most complete Industry-oriented AI solution
Much has been said about Machine Learning and Artificial Intelligence in different fields of our lives. These technologies are becoming popular and are showing how our routine can be benefited by the knowledge of the machines. In most of the cases, still expensive for personal use, but in the business world they can help companies […]
Spark and Python for Big Data with PySpark
Why to learn it? Spark has been reported to be one of the most valuable tech skills to learn. Spark is quickly becoming one of the most powerful Big Data tools! You also have the ability to run programs up to 100x faster than MapReduce in memory. What is Spark? Apache Spark is an open-source distributed […]
Data Analysis with Pandas
What is Pandas? A library built on top of the Python programming language A robust toolkit for Analyzing, filtering, manipulating, aggregating, merging, pivoting, and cleaning data “Excel for Python” or ” Excel on steroids” Prerequisites Getting Started Python and pandas must be installed Easiest option is installing the Anaconda distribution, which bundles Python, Pandas Use […]