Oreilly – Modern Python LiveLessons: Big Ideas and Little Code in Python 2022-8

Oreilly – Modern Python LiveLessons: Big Ideas and Little Code in Python 2022-8 Downloadly IRSpace

Aug 16, 2025 - 07:13 Updated: Aug 17, 2025 - 19:50

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Oreilly – Modern Python LiveLessons: Big Ideas and Little Code in Python 2022-8

Modern Python LiveLessons: Big Ideas and Little Code in Python. This course teaches essential Python techniques and tools for writing efficient, readable code. Taught by Raymond Hettinger, the course begins with an introduction to the fundamental skills and tools of modern Python, and then shows how to implement these concepts in a real-world application. Using practical examples from areas such as data analysis and social media, the course helps developers implement complex ideas clearly and effectively by writing short, meaningful code. This approach not only increases the readability of the code, but also makes the underlying logic of the application easily understandable.

What you will learn:

Core Modern Python skills that enable you to code powerful solutions concisely and efficiently.
Deep understanding of key tools and techniques in modern Python programming.
Ability to use advanced Python features to write clean and understandable code.
Familiarity with common design patterns in Python programming.
Practical application of learning in real projects, including data analysis and working with social media.
Improve the efficiency and readability of Python code using the techniques provided.

Who is this course suitable for?

Developers looking to improve their Modern Python skills.
Programmers who want to write their Python code more concisely and efficiently.
People who are interested in using Python for data analysis and working with social media.
Developers who want to learn new programming approaches in Python.

Course Details Modern Python LiveLessons: Big Ideas and Little Code in Python

Publisher: Oreilly
Instructor: Raymond Hettinger
Education level: Intermediate
Training duration: 8 hours and 10 minutes

Course headings

Introduction
Modern Python: Introduction
Getting Set Up for the Course
Lesson 1: Building Foundational Python Skills for Data Analytics
Topics
1.1 Part 1
1.2 Part 2
Lesson 2: Analyzing Data Using Simulations and Resampling
Topics
2.1 Part 1
2.2 Part 2
Lesson 3: Improving Reliability with MyPy and Type Hinting
Topics
3.1 Part 1
3.2 Part 2
Lesson 4: Implementing k-means Unsupervised Machine Learning
Topics
4.1 Part 1
4.2 Part 2
Lesson 5: Building Additional Skills for Data Analysis
Topics
5.1 Part 1
5.2 Part 2
Lesson 6: Applying Cluster Analysis to a Real Dataset
Topics
6.1 Part 1
6.2 Part 2
Lesson 7: Gearing-up for a Publisher/Subscriber Application
Topics
7.1 Part 1
7.2 Part 2
Lesson 8: Implementing a Publisher/Subscriber Application
Topics
8.1 Part 1
8.2 Part 2
Lesson 9: Using Bottle to Build REST APIs and Web Applications
Topics
9.1 Part 1
9.2 Part 2
Lesson 10: Building a Web Application for the PubSub Service
Topics
10.1 Part 1
10.2 Part 2
Lesson 11: Testing with PyTest, Itertools, Hypothesis, Pyflakes, MyPy and Data Validators
Topics
11.1 Part 1
11.2 Part 2
Summary
Modern Python: Summary