Python
Python Course In Bhubaneswar
Transform your programming skills with Python Training in Bhubaneswar at Logic Wave. Python is one of the most versatile and widely-used programming languages today, known for its simplicity and readability. Our program is designed for both beginners and experienced developers, helping you master Python and advance your skills at the best python institute in Bhubaneswar.
At Logic Wave, you will learn from experienced instructors who provide practical, real-world knowledge. Our comprehensive curriculum covers fundamental concepts like data types, control structures, and functions, as well as advanced topics such as web development, data analysis, and machine learning. With hands-on projects and interactive exercises, you’ll gain the skills needed to apply Python across 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.
We also offer a Python internship in Bhubaneswar to help students and professionals gain real-world experience in applying Python to industry projects. This internship provides hands-on exposure to practical challenges, allowing participants to solidify their understanding of Python concepts such as web development, data analysis, and machine learning. With mentorship from experienced instructors, our internship program ensures that you are well-prepared to excel in the competitive tech job market, making it an ideal addition to your training at Logic Wave.
Being one of the most popular Python training institutes in Bhubaneswar, we provide a supportive environment that prepares you for success in your career. Join us at Logic Wave to begin your Python programming journey and unlock new career opportunities with one of the most in-demand skills in the tech industry.
Python Course Fees, and Duration
Course Duration
3 Months
Course Fees
₹ 15,000
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