Complete Guide to Python Fundamentals for MLOps

سرفصل های دوره

This comprehensive course covers the essential Python skills for succeeding in MLOps roles. Start with the fundamentals of Python programming: data types, structures, functions, and modules. Through hands-on exercises, learn testing techniques, data manipulation, and analysis. Other topics include working with datasets using pandas and NumPy, APIs and SDKs, automation with command-line tools, and building machine learning APIs. Whether you're new to MLOps or an experienced professional, this course equips you with the foundational Python skills to excel in machine learning operations roles.

Note: This course was created by Pragmatic AI Labs. We are pleased to host this training in our library.

01 - Introduction

01 - Introduction to Python

02 - 1. Working with Variables and Types

01 - Lesson introduction Working with variables and types

02 - Variables and assignments

03 - Working with different data types

04 - Conditionals and evaluations

05 - Catching and handling exceptions

06 - Lesson recap Variables and types

03 - 2. Introduction to Data Structures

01 - Lesson introduction Python data structures

02 - Introduction to lists

03 - Creating and iterating over lists

04 - Introduction to dictionaries

05 - Creating and iterating over dictionaries

06 - Other data structures Tuples and sets

07 - Lesson recap Python data structures

04 - 3. Adding and Extracting Data from Data Structures

01 - Lesson introduction Adding and extracting data

02 - Adding data to lists

03 - Extracting data from lists

04 - Extracting data from dictionaries

05 - Lesson recap Adding and extracting data

05 - 4. Python Functions and Classes Working with Functions

01 - Lesson introduction Working with functions

02 - Function structure and values

03 - Function arguments

04 - Variable and keyword arguments

05 - Lesson recap Working with functions

06 - 5. Python Functions and Classes Building Classes and Methods

01 - Lesson introduction Building classes and methods

02 - Introduction to classes

03 - Using a constructor

04 - Adding methods

05 - Class inheritance

06 - Lesson recap Building classes and methods

07 - 6. Python Functions and Classes Modules and Advanced Usage

01 - Lesson introduction Modules and advanced usages

02 - Introduction to Python modules

03 - Working with imports

04 - Working with Python scripts

05 - Virtual environments and dependencies

06 - Lesson recap Modules and advanced usages

08 - 7. Testing in Python Introduction to Testing

01 - Lesson introduction Writing and executing tests

02 - Motivations for testing in Python

03 - Testing conventions

04 - Testing with pytest

05 - Lesson recap Writing and executing tests

09 - 8. Testing in Python Writing Useful Tests

01 - Lesson introduction Writing useful tests

02 - Using plan asserts in pytest

03 - Writing test classes

04 - Test classes vs. test functions

05 - Parameterizing tests

06 - Lesson recap Writing useful tests

10 - 9. Testing in Python Testing Failures

01 - Lesson introduction Testing failures

02 - Test failure output

03 - Python debugging with PDB

04 - Other pytest runner options

05 - pytest fixtures

06 - Lesson recap Testing failures

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تولید کننده: LinkedIn Learning (Lynda)