Python
Python Training In Bhubaneswar
Transform your programming skills with Python training at Logic Wave in Bhubaneswar. Python is one of the most versatile and widely-used programming languages today, renowned for its simplicity and readability. Our training program at Logic Wave is designed to help you master Python, whether you’re a beginner or an experienced developer looking to enhance your skills.
At Logic Wave, you will learn Python from experienced instructors who bring practical, real-world knowledge to the classroom. Our comprehensive curriculum covers fundamental concepts such as data types, control structures, and functions, as well as advanced topics like web development, data analysis, and machine learning. Through hands-on projects and interactive exercises, you’ll gain practical experience and learn to apply Python in various domains.
We emphasize a practical approach, ensuring that you are well-prepared to tackle real-world challenges and projects. Our training also includes guidance on best practices and career development to help you stay competitive in the job market.
Located conveniently in Bhubaneswar, Logic Wave offers a modern, supportive learning environment. Join us to start your Python programming journey and unlock new career opportunities with one of the most sought-after skills in tech.
Course Duration
3 Months
Course Fees
₹ 10,000
Includes
PYTHON, Data structure,SQL Database
Course Days
Weekly 3 Days
Course Overview and Modules
- Overview of Python programming language
- Key features and benefits of Python
- Setting up the Python environment (installation and IDEs)
- Understanding Python syntax and semantics
- Variables, data types, and operators
- Basic input and output operations
- Conditional statements (if, elif, else)
- Loops (for, while)
- Control flow statements (break, continue, pass)
- Defining and calling functions
- Function arguments and return values
- Importing and using modules
- Creating and managing custom modules
- Lists and list operations
- Tuples and tuple operations
- Dictionaries and dictionary operations
- Sets and set operations
- String operations and methods
- Formatting and manipulating strings
- Regular expressions and pattern matching
- Reading and writing files
- Working with different file formats (text, CSV, JSON)
- File operations (open, close, read, write)
- Understanding exceptions and errors
- Using try, except, finally for exception handling
- Creating custom exceptions
- Understanding classes and objects
- Defining and using classes
- Inheritance and polymorphism
- Encapsulation and abstraction
- Introduction to popular Python libraries (NumPy, pandas, matplotlib)
- Working with data analysis and visualization libraries
- Overview of web frameworks (Flask, Django)
- Introduction to Flask framework
- Creating and managing routes and views
- Handling requests and responses
- Connecting Flask with a database
- Introduction to pandas library
- Data manipulation and analysis
- Working with DataFrames and Series
- Data cleaning and preprocessing
- Introduction to matplotlib library
- Creating and customizing plots and charts
- Visualizing data with different types of graphs
- Integrating plots into applications
- Overview of Django framework
- Setting up a Django project and application
- Creating models, views, and templates
- Handling forms and user authentication
- Consuming and interacting with RESTful APIs
- Using Python requests library
- Creating your own APIs with Flask or Django
- Writing and running tests in Python
- Using debugging tools and techniques
- Unit testing and test-driven development (TDD)
- Preparing Python applications for deployment
- Deployment strategies (Heroku, AWS, Docker)
- Best practices for Python development
- Applying learned concepts to a real-world project
- Project planning, development, and deployment
- Best practices for project development and management
- Exploring advanced Python features (decorators, generators)
- Concurrency and parallelism (threads, multiprocessing)
- Python performance optimization
- Python coding standards and best practices
- Staying updated with Python’s ecosystem and industry trends
- Resources for continued learning and growth