Why this course?

Description

 The "Advanced Python Programming Master class" is an intensive course designed for experienced Python developers seeking to elevate their skills to an advanced level. This master class covers a range of sophisticated topics, including advanced data structures, decorators, concurrency, functional programming, design patterns, and more. Participants will explore best practices, optimization techniques, and real-world applications to enhance their ability to write efficient, scalable, and maintainable Python code. This course is ideal for professionals aiming to tackle complex programming challenges and further excel in Python development.
 

Introduction of advance Python:

An advanced Python programming master class is a comprehensive course that delves deep into the intricacies of Python, targeting experienced Python developers who want to enhance their skills and knowledge.
 

Data Structures: In-depth exploration of Python's data structures, including lists, dictionaries, sets, and tuples. You'll learn when and how to use them effectively

TOOLS: In an advanced Python programming master class, you can expect to use a variety of tools and libraries to enhance your learning experience and work on advanced projects
 

Classes and Objects: In an advanced Python programming master class, the topic of classes and objects is typically covered in a more in-depth and advanced manner than in introductory Python courses. You'll delve into advanced object-oriented programming (OOP) concepts and explore various features and patterns related to classes and objects.
 

PACKAGES AND GENERATORS: Packages are a way of organizing related modules into a single directory hierarchy. They help manage and structure larger Python projects. To create a package, you need to have a directory with an __init__.py file (which can be empty), and then you can place your modules within that directory.

Partial function: A partial function is a function that has some of its arguments pre-filled or partially applied. It's a technique that allows you to create new functions by fixing a certain number of arguments of an existing function.
 

Networking: Advanced Python programming often includes networking, which involves communication between computers or devices over a network. Python provides several libraries and tools to work with networking

Matplotlib library: It seems like you're interested in learning about the Matplotlib library for advanced Python programming. Matplotlib is a popular data visualization library in Python that allows you to create a wide range of high-quality charts, plots, and graphs. It's commonly used for tasks such as data analysis, scientific research, and creating data Seaborn library: Seaborn is another powerful Python library for data visualization, built on top of Matplotlib. It provides a high-level interface for creating informative and attractive statistical graphics. Seaborn is particularly useful when you want to visualize complex datasets and explore the relationships between variables
 

SKLearn library: Scikit-Learn, often referred to as sklearn, is a popular machine-learning library in Python. It provides a wide range of tools and algorithms for tasks such as classification, regression, clustering, dimensionality reduction, and model evaluation.

Automation: Automation in advanced Python programming can greatly enhance your productivity by streamlining repetitive tasks, managing data, and orchestrating complex processes. 

Weight converter GUI, chessboard creation using Python: Creating a weight converter GUI and a chessboard using Python can be fun and educational projects for advanced Python programming for the weight converter GUI, you can use a graphical user interface library like Tkinter to create a simple application that converts weights between different units Card game using python, python clock app with kiwi
 

Features of Advanced Python:
The "Advanced Python Programming master class" is an intensive course designed for experienced Python developers seeking to elevate their skills to an advanced level. This master class covers a range of sophisticated topics, including advanced data structures, decorators, concurrency, functional programming, design patterns, and more. Participants will explore best practices, optimization techniques, and real-world applications to enhance their ability to write efficient, scalable, and maintainable Python code.

This course is ideal for professionals aiming to tackle complex programming challenges and further excel in Python development.
 

Functional Programming Principles:
Application of functional programming principles in Python, covering higher-order functions, lambda expressions, and functional constructs for expressive and concise code.
 

File Handling and I/O:
Advanced techniques for file handling, serialization, and working with various data
formats such as JSON, XML, and CSV.
 

Database Interaction:
Interaction with databases using advanced techniques, including ORM (ObjectRelational Mapping) concepts.
 

Modules of Advanced Python Programming:
 

Module 1: Introduction to Python
Module 2: Tool syntaxes and data structures
Modules 3: classes and objects
Module 4: Iterator
Modules 5: Packages Generators
Module 6: list comprehension
Module 7: partial function closures
Module 8: decorators in python
Modules 9: network programming, multi-threading
Module 10: Pandas Library
Modules 11: Pandas Library 2 
Modules 12: numpy library
Modules 13: NumPY2
Modules14: matplotlib library
Modules15: Matplotlib -1
Modules16: Seaborn Library
Modules 17: sci-kit learn library 
Modules18: keras Library
Modules19: Automation in Python
Modules20: weight converter GUI, chessboard creation using python
Modules21: card game using Python, python clock app with Kiwi
Modules22: turtle graphics using Python, month hall simulation using Python
Modules23: Chabot GUI
Modules24: electricity price prediction
Modules25: customer segmentation
Modules26: house price prediction
Modules27: intrusion detection model
Modules28: android malware
Modules29: churn prediction