Python for Data Analysis: A Quick Python Learning Guide for Beginners

This book will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The book will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, use functions such as groupby, matplotlib effectively. Different data visualisation tools like histograms, matplotlib are lucidly explained on real world data. It is a quick guide to learn Basic Python and Python for data analysis. This book also aims to guide students of B.E. (Computer Science & Engineering ) in performing practical and project work in python. It consist of chapter 1: Python Basic, Chapter 2: Functions, Packages and Classes, Chapter 3: Numpy & Matplotlib, Chapter 4: Pandas, Chapter 5: Solutions to Suggested programs, Mini Projects, Viva Question. Suggested Programs like Count Frequency of Words, Build Hungman Game, Plot a Graph, Data Cleaning & Operations and Mini Project like Recommender System, Twitter Sentimental Analysis, Linear Regression.