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Machine Learning Tutorials

Machine Learning provides a comprehensive learning path for artificial intelligence and predictive modeling. Our tutorials cover a wide range of ML algorithms and techniques, suitable for beginners and intermediate data scientists. Through interactive labs and real - world code examples, you'll gain practical experience in building and training models. Our ML playground allows you to test different algorithms and datasets.

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Controlling Symbols and Combining Submodules

Controlling Symbols and Combining Submodules

Understand package import complexity, control exported symbols with `__all__`, export everything from the package, and split modules for better code organization in Python.
Python
Circular and Dynamic Module Imports

Circular and Dynamic Module Imports

Understand the import problem, explore circular imports, implement subclass registration, and use dynamic imports in Python for circular and dynamic module imports.
Python
Your First Python Lab

Your First Python Lab

Welcome to LabEx! In this introductory lab, you'll explore Python fundamentals including the Python interpreter, variables, data types, input/output operations, and basic programming concepts.
Python
Python Assignment Expressions

Python Assignment Expressions

In this lab, we will learn about Python Assignment Expressions, also known as the 'walrus operator' (:=). This operator, introduced in Python 3.8, allows you to assign a value to a variable as part of an expression. It is particularly useful for optimizing code, avoiding redundant calculations, and simplifying complex expressions.
Python
Testing Your Code

Testing Your Code

In this lab, we will learn how to write unit tests for our Python code using the built-in unittest module. We will start with a simple function and then build up to testing more complex code, including code that interacts with databases.
Python
Webbrowser Package Basic

Webbrowser Package Basic

The webbrowser module in Python provides a simple interface to open web browsers, display HTML documents, and navigate the web. This practical lab will walk you through the basics of using the webbrowser package, from opening a URL in a new tab to executing a Google search directly from the Python console.
Python
Create a Python Package

Create a Python Package

Understand Python packages, create the package structure, fix import statements, and update and test the stock.py program to build a Python package.
Python
Variables and Memory Addresses

Variables and Memory Addresses

In this tutorial, we will explore Python variables, memory addresses, and the differences between mutable and immutable data types:
Python
The Power and Flexibility of F-String

The Power and Flexibility of F-String

In this tutorial, you will learn about Python F-strings, a modern and concise way to format strings in Python. F-strings were introduced in Python 3.6 and have quickly become popular among Python developers for their readability and ease of use.
Python
Python Is Operator

Python Is Operator

The is operator in Python is used to check if two variables refer to the same object in memory. This is different from the == operator, which checks if two variables have the same value. In this lab, we will explore how the is operator works and how it can be useful in Python programming.This is an important concept to understand, especially when working with mutable objects like lists and dictionaries. In this lab, we will explore the usage of the is operator in Python with simple and complex examples, and see how it can be used to write efficient and reliable code.
Python
Exploring Python's Collections Module

Exploring Python's Collections Module

In this tutorial, we will explore Python's built-in collections module. The collections module is a powerful library that offers a variety of container data types that extend the functionality of Python's built-in containers such as lists, tuples, and dictionaries.
Python
Learn About Managed Generators

Learn About Managed Generators

Understand Python generators, create a task scheduler with them, test the scheduler, build a network server, and implement an echo server to learn about managed generators.
Python
A Review of Module Basics

A Review of Module Basics

Create a simple module, import and use modules, understand module loading behavior, use 'from module import' syntax, and explore module reloading limitations to review Python module basics.
Python
Python Assignment and Reference

Python Assignment and Reference

In this lab, we'll cover the basics of Python assignment and reference. We'll explore how Python handles assignments, how to create references, and how to work with mutable and immutable objects.
Python
Yield Statement Management in Python

Yield Statement Management in Python

Understand generator lifetime and closure, handle exceptions in generators, and explore practical applications of generator management to master yield statement management in Python.
Python
Learn About Delegating Generators

Learn About Delegating Generators

Understand the `yield from` statement, use it in coroutines, wrap sockets with generators, and transition from generators to async/await in Python.
Python
Lab Working with Color Spaces

Lab Working with Color Spaces

Welcome to this tutorial on OpenCV-Python Colorspaces!
OpenCV
Getting Started with Videos

Getting Started with Videos

Welcome to this lab on how to get started with videos using OpenCV-Python! OpenCV (Open Source Computer Vision) is a powerful library designed for image processing, machine learning, and computer vision applications. In this lab, we'll be focusing on how to work with videos in OpenCV-Python.
OpenCV
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