Python Programming for Automation & Development
Course Overview
Python Programming
Brief Introduction: Covers Python programming, OOP, databases, Django, and data science fundamentals.
Key Features:
✅ Live sessions & hands-on practice
✅ Certification upon completion
✅ Real-world projects
✅ Placement assistance
Python Course Content
Basics and Advanced Python
- Variables
- Keywords
- Constants
- Datatypes
- Operators
- Getting Started with Python
- Setting Up Your Working Environment
- Introduction to PyCharm.
- Debugging techniques.
- If-Else Statements
- Ternary Operators
- For-Loops
- While Loops
- List Comprehension
- Dictionary Comprehension
- Function Basics
- Built-In Functions in Python
- Define Your Own Function
- Local Variables and Global Variables
- Nested Functions
- Lambda Functions
- Functions as Arguments to Functions
- Recursive Functions
- Divide-and-Conquer
- Variables and Assignment
- Data Structure – String
- Data Structure – List
- Data Structure – Tuple
- Data Structure – Set
- Data Structure – Dictionary
- Introduction to OOP
- Class
- Object
- Class vs Instance Attributes
- Inheritance
- Encapsulation
- Polymorphism
- Error Types
- Avoiding Errors
- Plan your Program
- Test Everything
- Keep Your Code Clean
- Try/Except
- Type Checking
- Debugging
- Activating Debugger After Running into an Exception
- Activating Debugger Before Running the Code
- Add a Breakpoint
- TXT Files
- Writing to a File
- Appending a File
- Reading a File
- Dealing with Numbers and Arrays:
- CSV Files
- Writing and Opening a CSV File
- Reading a CSV File
- Pickle Files
- Writing to a Pickle File
- Reading a Pickle File
- JSON Files
- JSON Format
- Writing a JSON File
- Reading a JSON File
- What is a Module?
- Creating User Defined Module
- Setting Path
- The Import Statement
- From … Import
- Iterators
- Generators
- Map function
- Reduce function
- Filter function
- Introduction
- Installation
- DB Connection
- Creating DB Table
- INSERT, READ, UPDATE, DELETE operations
- COMMIT & ROLLBACK operation
- Introduction
- A Daytime Server
- Clients and Servers
- The Client Program
- The Server Program
- sleep
- Program execution time
- more methods on date/time
- Split
- Working with special characters, date, emails
- Quantifiers
- Match and find all
- character sequence and substitute
- Search method
- Class and threads
- Multi-threading
- Synchronization
- Treads Life cycle
- use cases
- Introduction
- Facebook Messenger
- Openweather
- Django Overview
- Django Installation
- Creating a Project
- Usage of Project in depth Discussion
- Creating an Application
- Understanding Folder Structure
- Creating a Hello World Page
- Database and Views
- Static Files and Forms
- API and Security
- Installing GIT
- Creating Repository in GITHub
- Connecting GIT with GitHub
- Integrating GitHub with Pycharm
- TensorFlow
- NumPy
- SciPy
- Pandas
- Matplotlib
- SciKit-Learn
- PyTorch
Introduction to Generative AI and chatGPT
Building a simple game project using chatGPT in replit tool
What You Will Learn
Master Python for development, automation, and data science with real-world projects.
Who Should Take This Course?
Beginners to Python Programming
Data analysts & aspiring data scientists
Web developers looking to enhance backend skills
Automation & software testing professionals
Tools & Technologies Covered
FAQ's
No, this course starts from scratch, making it ideal for beginners and those switching to Python.
The training lasts 8-12 weeks, with live sessions, hands-on practice, and real-world projects.
Yes! You will receive a Python certification recognized by the industry.
You will learn Python basics, OOP, APIs, Django, automation scripting, and data analysis.
Yes! We offer resume preparation, interview coaching, and job referrals to boost your career opportunities.
