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Python learning beginner to advance: learn python no skill require easy to advance
All you need in their about python,
Python Introduction to Python programming language, data types, control structures, functions, and modules.
Building a basic calculator program in Python.
Python Game with Creating a game using Python and exploring modules for game development.
Advanced Data Learning about advanced data structures like stacks, queues, trees, and graphs.
Object-Oriented Programming (OOP): Understanding OOP principles, classes, objects, inheritance, and polymorphism.
Functional Exploring functional programming concepts like lambda functions, map, filter, and reduce.
Concurrency and Understanding concurrent and parallel programming in Python using threads and processes.
Data Using libraries like Matplotlib and Seaborn to visualize data and create plots and charts.
Web Learning web development concepts and frameworks like HTML, CSS, and Flask for building web applications.
Database Interacting with databases using Python and libraries like SQLAlchemy.
Testing and Techniques for testing and debugging Python code for improved code quality.
Working with Utilizing APIs to retrieve and process data from external sources in Python.
Machine Learning and Data Step-by-step guide to machine learning and data science using Python, including data preprocessing, model training, evaluation, and visualization.
Advanced Exploring advanced techniques like ensemble methods, deep learning, natural language processing (NLP), and model deployment.
Continued Recommendations for staying updated, practicing, and engaging in real-world projects.
Python Introduction to Python programming language, data types, control structures, functions, and modules.
Building a basic calculator program in Python.
Python Game with Creating a game using Python and exploring modules for game development.
Advanced Data Learning about advanced data structures like stacks, queues, trees, and graphs.
Object-Oriented Programming (OOP): Understanding OOP principles, classes, objects, inheritance, and polymorphism.
Functional Exploring functional programming concepts like lambda functions, map, filter, and reduce.
Concurrency and Understanding concurrent and parallel programming in Python using threads and processes.
Data Using libraries like Matplotlib and Seaborn to visualize data and create plots and charts.
Web Learning web development concepts and frameworks like HTML, CSS, and Flask for building web applications.
Database Interacting with databases using Python and libraries like SQLAlchemy.
Testing and Techniques for testing and debugging Python code for improved code quality.
Working with Utilizing APIs to retrieve and process data from external sources in Python.
Machine Learning and Data Step-by-step guide to machine learning and data science using Python, including data preprocessing, model training, evaluation, and visualization.
Advanced Exploring advanced techniques like ensemble methods, deep learning, natural language processing (NLP), and model deployment.
Continued Recommendations for staying updated, practicing, and engaging in real-world projects.
72 pages, Kindle Edition
Published June 20, 2023
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