Introduction to Python Programming for Beginner (Draft) смотреть онлайн

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Here is a possible outline for a 45-minute presentation on Python programming with more technical details:

Slide 1: Introduction

Title: "Python Programming: A 45-Minute Crash Course"
Brief overview of the presentation
Slide 2: What is Python?

Definition of Python
Key features of Python: high-level, interpreted, object-oriented
Examples of Python applications: web development, data analysis, machine learning
Slide 3: Installing Python

Overview of Python distributions: Anaconda, Python.org
Instructions for installing Anaconda: download, install, open Anaconda Navigator
Slide 4: Python IDEs

Definition of an IDE (integrated development environment)
Examples of Python IDEs: Jupyter Notebook, Spyder, PyCharm
Overview of Jupyter Notebook: what it is, how to use it
Slide 5: Python Syntax

Overview of Python syntax: indentation, comments, variables, data types
Examples of data types: integers, floats, strings, booleans
Examples of operators: arithmetic, comparison, logical
Slide 6: Python Control Structures

Overview of control structures: if/else statements, for loops, while loops
Examples of using control structures with lists
Slide 7: Python Functions

Definition of a function
Examples of creating and using functions
Examples of built-in functions: print, len, range
Examples of higher-order functions: map, filter, reduce
Slide 8: Python Modules

Definition of a module
Examples of using built-in modules: math, random, datetime
Examples of importing modules: import, from...import
Examples of creating custom modules
Slide 9: Python Object-Oriented Programming

Definition of object-oriented programming (OOP)
Examples of OOP concepts: classes, objects, attributes, methods
Examples of creating and using classes
Slide 10: Python Data Structures

Examples of built-in data structures: lists, tuples, sets, dictionaries
Examples of using data structures: indexing, slicing, methods
Slide 11: Python File Handling

Examples of opening and reading files: open, read, readline
Examples of writing to files: open, write, append
Slide 12: Python Web Development

Examples of web frameworks: Flask, Django
Examples of using Flask: creating a basic web application
Slide 13: Python Data Science

Examples of data science libraries: NumPy, Pandas, Matplotlib, Scikit-learn
Examples of using Pandas: reading and manipulating data, visualization
Slide 14: Python Machine Learning

Examples of machine learning libraries: Scikit-learn, TensorFlow, PyTorch
Examples of using Scikit-learn: loading data, training and testing models, evaluation
Slide 15: Conclusion

Recap of the main points covered in the presentation
Resources for further learning: online courses, books, tutorials
Closing remarks
Note: The above outline is just a suggestion and can be customized according to your audience and specific goals for the presentation. The presentation can be made more technical by going deeper into each topic and including examples of more advanced Python features and techniques.