Program Overview

• Become a Job-Ready Python Professional
• Learn Python the way it’s used in real companies
• Interview-focused and job-oriented training
• No coding background required

Why Python?

• Python powers Software & Backend Development
• Used in Automation & DevOps
• Core language for Data Analytics & AI
• USA Python roles pay $85K – $130K+
• Companies hire problem solvers, not certificates

Who This Program Is For

• Freshers & entry-level professionals
• Career switchers from non-IT backgrounds
• Manual testers & support engineers
• Developers using outdated technologies
• Data professionals wanting strong Python skills

Why V9 Staffing

• 20+ years in IT training & staffing
• USA job-market aligned curriculum
• Real-time projects & case studies
• Interview-oriented explanations
• Resume, LinkedIn & placement guidance

What You Will Master – Core Python

• Programming fundamentals & Python internals
• Data types, control statements, functions
• Debugging, performance & best practices

Advanced Python & OOP

• Object-oriented programming
• Decorators, generators, multithreading
• Real-world design and interview concepts

Data, Automation & Backend

• File handling, regex, OS automation
• Python with MySQL / Oracle
• NumPy, Pandas & data visualization
• Django framework basics

Career Outcomes

• Strong Python coding skills
• Real-world project experience
• Confidence for technical interviews
• Job-ready profile for US IT roles

Career Roles You Can Target

• Python Developer
• Backend Developer
• Automation Engineer
• Data Analyst
• Junior Data Scientist

Python Foundations

• Programming concepts and paradigms
• Compilers vs interpreters
• Python architecture and execution model
• Writing clean and efficient Python code

Python Language Fundamentals

• Data types, variables, and operators
• Conditional statements and loops
• Input/output and command-line arguments
• Memory management and debugging

Collections & Data Structures

• Strings, lists, tuples, sets, dictionaries
• Indexing, slicing, and iteration
• Comprehensions and data processing use cases

Functions & Advanced Concepts

• Function design and reusability
• Lambda functions and functional programming
• Decorators, generators, closures

Exception Handling & Logging

• Built-in and custom exceptions
• Error handling strategies
• Python logging framework

Automation & Performance

• File handling and regex
• Multithreading and synchronization
• Performance optimization techniques

Database, Data & Backend

• Python with MySQL and Oracle
• NumPy & Pandas for data analysis
• Matplotlib for visualization
• Django & backend fundamentals

Tools & Technologies

• Python (latest versions)
• VS Code, PyCharm, Jupyter Notebook
• MySQL / Oracle
• NumPy, Pandas, Django
• Git basics