How to read utf-8 charachters using Pandas in Python-Machine Learning Course by Hackveda

Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.
Library Feature
- rame object for data manipulation with integrated indexing.
- Tools for reading and writing data between in-memory data structures and different file formats.
- Data alignment and integrated handling of missing data.
- Reshaping and pivoting of data sets.
- Label-based slicing, fancy indexing, and subsetting of large data sets.
- Data structure column insertion and deletion.
- Group by engine allowing split-apply-combine operations on data sets.
- Data set merging and joining.
Pre-Requisites
Basic knowledge of dictionaries in python programming.
Basic programming syntax of python
So to start with Pandas library we first need to Import it.

Reading a CSV file using Pandas
Importing data is the first step in any data science project. Reading a csv ( comma separated values) is hence important.

Reading a text file having encoding of UTF-8
Make sure the file you are importing using pandas is saved in utf-8 format.
In Excel 2016 When saving as: click More Options > Tools > Web Options > Encoding > Save this document as … (pick UTF-8 from the list)
After this we need to do the following

Parameters:
1. Sometimes there are multiple sheets present in the same excel. we can also read it directly by giving the name of the Sheet in the parameter itself. I have created a Sheet2 in the same excel file with some dummy data.
2. Encoding - str, default None
Encoding to use for UTF when reading/writing (ex. ‘utf-8’). List of Python standard encodings
Similarly if you are reading a CSV file same parameter can be used to read the UTF-8 encoded file.
Resource
For more Info : http://www.hackveda.in/campus.php?campusno=online_ml_course_demo_2018