- An understanding of Python fundamentals
This comprehensive four-day Advanced Python Training Course is designed to elevate Python practitioners from an intermediate to an advanced level of proficiency. Delving into an extensive array of topics, participants will explore advanced Python concepts, programming techniques, and application domains to enhance their skills and productivity.
What You'll Learn:
- Advanced Object-Oriented Programming: Master inheritance, polymorphism, decorators, and concurrency handling.
- Data Mastery: Manipulate and analyze data effortlessly with Pandas and NumPy, visualizing insights with Matplotlib.
- Project Management & Extensions: Efficiently package, distribute projects and extend Python’s capabilities with other languages.
- UI Development: Craft intuitive user interfaces with Tkinter and PyQt.
- Maintenance and Web Processing: Organize code effectively, handle exceptions, and explore web processing capabilities.
Outcome
Upon completion, you'll emerge equipped with a refined skill set, confident in applying advanced Python concepts to diverse real-world scenarios. Elevate your Python expertise and propel your career forward with our Advanced Python Training Course
Day 1: Foundations and Advanced Concepts in Python
Session 1: Core Python Fundamentals and Advanced OOP
- Introduction to Python: Basics and Overview
- Understanding Functions, Classes & Expressions
- Exploring Object-Oriented Programming (OOP) in Python 3
- Inheritance
- Polymorphism
- Static classes and functions
- Decorators in depth
Session 2: Design Patterns, Concurrency, and Asynchronous Programming
- Overview of Design Patterns in Python
- Processes, Threads, and Asynchronous Programming
- Understanding Threads, Locks, and Queues
- Managing Global Interpreter Lock (GIL)
- Asynchronous Programming with asyncio
Day 2: Advanced Data Handling and Analysis Techniques
Session 3: Advanced Data Structures, Pandas, and Visualization
- Exploring Data Structures in Python
- Advanced Data Analysis with Pandas
- Data Cleaning and Wrangling
- Working with Time Series Data
- Data Visualization Techniques
- Plotting Diagrams with Matplotlib
- Integrating Matplotlib with Pandas
- Advanced Visualization in Jupyter Notebooks
Session 4: Optimizing Data Handling with NumPy and Performance Tuning
- Leveraging NumPy for Advanced Data Handling
- Creating and Manipulating NumPy Arrays
- Using Universal Functions (ufuncs)
- Optimizing Performance: Avoiding Loops
- Profiling Performance with cProfile
Day 3: Project Management, Extensions, and User Interfaces
Session 5: Project Management and Distribution
- Project Packaging and Distribution Techniques
- Using wheel and sdist
- Inter-process Communication, Serialization, and Database Operations
- Using Sockets for IPC
- Data Serialization with Pickle
- Working with SQL and NoSQL Databases
Session 6: Extending Python and User Interface Development
- Extending Python Capabilities with Other Languages
- Integrating Python with C#, Java, C++, Perl, etc.
- UI Programming Options in Python
- Introduction to Tkinter
- Exploring PyQt for GUI Development
Day 4: Advanced Maintenance, Web Processing, and Conclusion
Session 7: Maintenance Scripting and Web Processing
- Advanced Code Maintenance Techniques
- Effective Exception Handling
- Code Organization into Modules and Packages
- Symbol Tables and Accessing Them
- Selecting Testing Frameworks and Applying TDD
- Python for Web Processing
- Web Crawling and Scraping
- HTML/XML Parsing
- Automating Web Form Fillings
Session 8: Recap, Summary, and Q&A
- Summary of Covered Topics
- Practical Examples, Case Studies, and Demonstrations
- Open Q&A Session for Discussion and Clarifications