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Python Internship Pune
Python Live Project
1. Text-based Adventure Game
2. Video Game
- 2-dimensional, straight-line motion game
3. Visualization
- see Data is Beautiful for examples
- Mapping Global Earthquake Activity
4. Simple web application
What you will learn
- Have an intermediate skill level of Python programming.
- Use the Jupyter Notebook Environment.
- Use the numpy library to create and manipulate arrays.
- Use the pandas module with Python to create and structure data.
- Learn how to work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets.
- Create data visualizations using matplotlib and the seaborn modules with python.
- Have a portfolio of various data analysis projects.
Features of our Live Industrial Training program:-
- Client based live projects
- Industrial Training certificate
- Course completion Certificate
- 45 Days to 6 months duration
- 100% Job assistance for 1 Year
- Job Offered Based on Performance
Python Industrial Training Contents:-
-
Core Python
- Introduction
- Conditional Statements
- Looping
- Control Statements
- String Manipulation
- List
- Tuple
- Dictionaries
- Functions
- Modules
- Input-Output
- Exception Handling Advanced Python
- OOPs concept
- Regular expressions
- CGI
- Database
- Networking
- Multithreading
- GUI Programming
- Sending email
Qualification:- (Pursuing)
MCA, BCA, B.E, B. Tech. M. Tech, BCS, MCS, BSC and MSC
Software Reguirements
- A browser and a text editor
- Basic HTML and Javascript, Programming language knowledge
Course Features
- Lectures 50
- Quizzes 4
- Duration 45 hours
- Skill level All level
- Language English
- Students 40
- Certificate Yes
- Assessments Self
-
Why Do Python Intership in Raj Computer ?
- Unit 1.1 Get opportunity to Work on live project
- Unit 1.2 Work under Expert guidance
- Unit 1.3 Independent Module Is assigne
- Unit 1.4 Job assurance given
- Unit 1.5 Open culture and technologies 24 * 7 Support Avilable
- Unit 1.6 Out of Box Knowledge
-
Sudesh Chavan
Python Intership
This course is pretty straight forward. Things might seem a little fuzzy at the beginning, but as soon as you start applying the concepts into the projects, it all comes together. Now I feel confident enough to start my own data projects.
