Pandas with Python Tutorial

Pandas is an open-source, BSD-licensed Python library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. This Python course will get you up and running with using Python for data analysis and visualization.

The training will include the following;

• Installing Jupyter

• Jupyter Environment

• Read data using Pandas

• Series vs Data Frame

• Basic Operations in Pandas

• Analyze the imported data

• Renaming Columns

• Sorting

• Filtering Data

• Filtering Function

• Read Selective Columns & Rows

• And a lot other topics.

What are the Pandas and NumPy?

Panda and NumPy is a library for Python, where NumPy helps by contributing to numerical work lads and computation works. Panda, on the other hand, is preferred for data wrangling and data manipulation related works.

Both the NumPy and Panda constitute to Pythons being a scientific language. Its possibility to encounter Matrix and Vector manipulation is possible with NumPy and Panda’s library (rather we call an essential).

NumPy means Numerical Python and is an open-source structure for mathematical needs. A must-have an array for high-level mathematical functions. NumPy is associated with Machine learning in ways like Scikit-learn, Pandas, Matplotlib, and TensorFlow.

Panda, on the other hand, offers similar features in Machine learning and is the most widely-used Python libraries. It is easy to use, easy to structure, delivers high performance, and a great data analysis tool.

The goal of this course is to make the trainees expert on working with Pandas and NumPy python libraries. This training will be helping folks to achieve proficiency in introducing the concept of data science with the help of libraries that we will be covering here.

This course has been focused on training folks on Pandas and NumPy. All the concepts that revolve around these libraries will be detailed very precisely through this course. The sole objective of this course is to enrich the trainees with the entire set of skills that are required to work with these python-based libraries.