10
Lessons
40h
Duration
English
Language
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OBJECTIVEs:
- The Advanced Python course aims to equip participants with in-depth knowledge and skills in Python programming, focusing on advanced concepts and techniques.
- By the end of the course, participants will be proficient in leveraging Python's powerful features for complex software development, data analysis, and more.
- Master advanced Python topics essential for professional software development and data science.
- Enhance problem-solving skills and ability to design scalable applications.
- Gain practical experience through projects and case studies.
Course features:
- Practical hands on
- Lab sessions
- Training by experienced faculty
PRE-REQUISITES:
- Proficiency in basic Python programming concepts (variables, data types, loops, functions, etc.).
- Familiarity with object-oriented programming (OOP) concepts.
- Understanding of data structures (lists, dictionaries, tuples, sets).
- Basic knowledge of file handling and exception handling in Python.
Learning Path
- Classes, objects, and instances.
- Inheritance, polymorphism, and encapsulation.
- Advanced usage of lists, dictionaries, tuples, and sets.
- Custom data structures and their applications.
- Lambda functions, map, filter, and reduce.
- Decorators and closures.
- Threading vs. multiprocessing.
- Synchronization and thread safety.
- Creating iterators and generators.
- Using yield for lazy evaluation.
- Pattern matching using regex in Python.
- Practical examples and use cases.
- Reading and writing CSV, JSON, and XML files.
- Working with large files and memory management.
- Connecting to databases (SQLite, MySQL, or PostgreSQL) using libraries like
SQLAlchemy. - Executing SQL queries, managing transactions, and working with ORM
frameworks.
- Using BeautifulSoup and Scrapy frameworks.
- Handling HTTP requests and parsing HTML.
- Using NumPy for numerical computations.
- Introduction to Pandas for data manipulation and analysis.