Complete Guide to Python Fundamentals for MLOps

Focused View

3:07:52

0 View

01 - Introduction

01 - Introduction to Python.mp4

01:46

02 - 1. Working with Variables and Types

01 - Lesson introduction Working with variables and types.mp4

00:15

02 - Variables and assignments.mp4

05:29

03 - Working with different data types.mp4

07:30

04 - Conditionals and evaluations.mp4

07:19

05 - Catching and handling exceptions.mp4

05:56

06 - Lesson recap Variables and types.mp4

01:00

03 - 2. Introduction to Data Structures

01 - Lesson introduction Python data structures.mp4

00:59

02 - Introduction to lists.mp4

03:00

03 - Creating and iterating over lists.mp4

03:20

04 - Introduction to dictionaries.mp4

03:03

05 - Creating and iterating over dictionaries.mp4

04:16

06 - Other data structures Tuples and sets.mp4

04:46

07 - Lesson recap Python data structures.mp4

00:48

04 - 3. Adding and Extracting Data from Data Structures

01 - Lesson introduction Adding and extracting data.mp4

00:45

02 - Adding data to lists.mp4

03:32

03 - Extracting data from lists.mp4

04:02

04 - Extracting data from dictionaries.mp4

04:04

05 - Lesson recap Adding and extracting data.mp4

01:00

05 - 4. Python Functions and Classes Working with Functions

01 - Lesson introduction Working with functions.mp4

01:01

02 - Function structure and values.mp4

03:33

03 - Function arguments.mp4

05:02

04 - Variable and keyword arguments.mp4

04:56

05 - Lesson recap Working with functions.mp4

00:27

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

01 - Lesson introduction Building classes and methods.mp4

00:40

02 - Introduction to classes.mp4

07:45

03 - Using a constructor.mp4

06:05

04 - Adding methods.mp4

04:47

05 - Class inheritance.mp4

05:10

06 - Lesson recap Building classes and methods.mp4

01:00

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

01 - Lesson introduction Modules and advanced usages.mp4

00:44

02 - Introduction to Python modules.mp4

03:19

03 - Working with imports.mp4

04:10

04 - Working with Python scripts.mp4

04:51

05 - Virtual environments and dependencies.mp4

05:19

06 - Lesson recap Modules and advanced usages.mp4

00:54

08 - 7. Testing in Python Introduction to Testing

01 - Lesson introduction Writing and executing tests.mp4

00:52

02 - Motivations for testing in Python.mp4

05:25

03 - Testing conventions.mp4

07:55

04 - Testing with pytest.mp4

06:20

05 - Lesson recap Writing and executing tests.mp4

00:48

09 - 8. Testing in Python Writing Useful Tests

01 - Lesson introduction Writing useful tests.mp4

00:58

02 - Using plan asserts in pytest.mp4

05:03

03 - Writing test classes.mp4

04:52

04 - Test classes vs. test functions.mp4

03:40

05 - Parameterizing tests.mp4

07:11

06 - Lesson recap Writing useful tests.mp4

00:37

10 - 9. Testing in Python Testing Failures

01 - Lesson introduction Testing failures.mp4

00:45

02 - Test failure output.mp4

05:03

03 - Python debugging with PDB.mp4

05:29

04 - Other pytest runner options.mp4

03:38

05 - pytest fixtures.mp4

06:02

06 - Lesson recap Testing failures.mp4

00:41

Description

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.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Python

Linkedin Learning

View courses Linkedin Learning

LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.