Python Development
Python is an incredibly versatile and dynamic programming language, widely used by developers and businesses worldwide. Our Python Development On-The-Job Training Program is designed to provide you with a comprehensive learning experience.
Why Python Development
Python is an incredibly versatile and dynamic programming language, widely used by developers and businesses worldwide. There are many reasons why Python development is a top choice for aspiring developers, such as:
- Versatility: Python can be used for a wide range of applications, from web development to data analysis and machine learning.
- Simplicity: Python is easy to learn, read, and write, making it a popular choice for beginners and experts alike.
- Popularity: Python is one of the most popular programming languages in the world, with a large and active community of developers
- Career Opportunities: There is a huge demand for Python developers in the job market, with high-paying jobs available in a variety of industries.
- Open Source: Python is an open-source language, which means it's free to use, modify, and distribute, making it accessible to all.
Why Altos Eduhub
- Experience certificate upon completion of the program
- Assured placement assistance
- Experienced trainers with industry expertise
- Practical training on live projects for hands-on experience
- Opportunity to work on real-world scenarios to build a strong foundation
- Exposure to latest industry trends and technologies
- Develop essential skills required in the workplace, such as teamwork, communication, and problem-solving
- Enhance your resume with relevant job experience and training
- Networking opportunities with professionals in the industry
- Gain confidence and develop a positive attitude towards work
What You Will Learn in the Python Training Program
- Introduction to Python programming language
- Data types, variables, and operators
- Control statements (if, while, for)
- Functions and modules
- Object-oriented programming concepts
- Exception handling
- File handling
- Regular expressions
- Database connectivity with Python
- Web scraping and crawling
- Python libraries and frameworks (e.g. NumPy, Pandas, Flask, Django)
- Deployment and hosting of Python applications.