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Workshop on Data Analytics using Python DAP-17, Kongu Engineering College, Erode, Tamil Nadu, 4th March 2017
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- Event Type:
- Venue/Offline Mode
- Start Date :
- 4th March 2017
- End Date :
- 4th March 2017
- Location :
- Erode, Tamil Nadu
- Organizer :
- Kongu Engineering College
- Category :
- Workshop
About Event
OBJECTIVE
Python is a popular, general-purpose, multi-paradigm, open-source, scripting language. It is designed to emphasize code readability and has a clean syntax with high level data types. It is well-suited for interactive work and quick prototyping, yet it is powerful enough for writing large applications. Python has a large number of available and well-written modules for everything from abstract syntax trees to ZIP file manipulation and Data Analytics.
The purpose of this workshop is to enhance the knowledge of students and faculty in the field of Python Programming. This workshop will help the students and faculty to learn Python in industry perspective and make them to do real world web applications and Data Analytics.
Events
PROGRAMME CONTENTS
ï‚· Introduction
ï‚· Data Structures- Strings, Tuples, List, Sets and Dictionary
ï‚· Functions
ï‚· Python Libraries
ï‚· Files and Exception Handling
ï‚· Object Oriented Programming
ï‚· Database Programming- CRUD Operations
ï‚· Data Loading and Storage
ï‚· Data Analysis Algorithms
ï‚· Plotting
ï‚· Visualization
Workshops
PROGRAMME CONTENTS
Introduction
Data Structures- Strings, Tuples, List, Sets and Dictionary
Functions
Python Libraries
Files and Exception Handling
Object Oriented Programming
Database Programming- CRUD Operations
Data Loading and Storage
Data Analysis Algorithms
Plotting
Visualization
Departments:
CSE IT Arts MCAAccommodation
BOARDING AND LODGING
Accommodation and boarding if required will be provided in the college campus on chargeable basis.
How to reach Kongu Engineering College, Erode
ABOUT THE LOCATION
The college is situated at Perundurai on the National Highway (NH 47) about 80 km from Coimbatore and 17 km from Erode. It is well connected by air, road and rail.
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