[MULTI] Introduction To Python, 2nd Edition: Learn How To Program Today With Python

[jinkping5]

Introduction To Python, 2nd Edition: Learn How To Program Today With Python
Released 5/2025
By Arianne Dee
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 9h 36m | Size: 2.2 GB
Table of contents​

Introduction
Introduction to Python: Introduction
Lesson 1: Introduction to Programming and Python
Learning objectives
1.1 Install Python
1.2 Choose a code editor
1.3 Run Python code
1.4 Write an area calculator
1.5 More context: Understand what programming is
Lesson 2: Python and Programming Basics
Learning objectives
2.1 Learn about types
2.2 Work with variables
2.3 Debug errors
2.4 Manipulate strings
2.5 Write a Mad Libs program
2.6 Use modules
2.7 Write your own functions
2.8 Write a timer game
2.9 More context: Learn about Python
Lesson 3: Control Flow with Conditionals
Learning objectives
3.1 More context: Useful skills for programmers
3.2 Identify true and false statements
3.3 Use conditional "if" statements
3.4 Write a number-guessing game
Lesson 4: Lists and Loops
Learning objectives
4.1 Use a "while" loop
4.2 Improve the number-guessing game with "while" loops
4.3 Create and manipulate lists
4.4 Loop over sequences with "for" loops
4.5 Write a quiz game
4.6 More context: Refactor your code
Lesson 5: Additional Language Topics
Learning objectives
5.1 More context: Discuss how to keep learning
5.2 Look at more data structures
5.3 Read files
5.4 Write more complex functions
5.5 Program with classes
5.6 Import external packages
5.7 Add type-hints
Lesson 6: Introduction to Data Analysis in Python
Learning objectives
6.1 Look at the ecosystem
6.2 Start a Jupyter notebook
6.3 Import a dataset
6.4 Clean some data
6.5 Plot the data
6.6 Find some statistics
Lesson 7: Introduction to Web Development in Python
Learning objectives
7.1 Look at the anatomy of a web app
7.2 Start a web app with Flask
7.3 Create a static page
7.4 Get content from the back-end
7.5 Make the page dynamic
7.6 Hook up a database
7.7 Get more context: databases and deployment
Summary
Introduction to Python: Summary

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[0dayddl]

Introduction to Python: Learn How to Program Today with Python
.MP4, AVC, 1360 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 6+ Hours | 8.33 GB
Instructor: Arianne Dee​

Python is a great, beginner-friendly programming language because it was originally designed with learners in mind. It is also used by professional developers in a wide range of applications, like web programming, data science, artificial intelligence, and DevOps. It is estimated that there are about 3 million Python programmers in the world, and by some accounts, it is the fastest growing, most widely used language, especially in high-GDP countries. Out of dozens of programming languages, Python is the third most loved language and is the number one language that current and aspiring developers want to learn.

As an instructor who regularly teaches people who are completely new to programming, Arianne has found that students are often looking for more context than is provided in most introductory courses. Specifically, students want to know how various languages fit into the programming landscape, as well as what next steps they should take after the course. Introduction to Python LiveLessons attempts to fill these gaps by providing "extra context" lessons, in addition to teaching fundamental programming concepts, answering questions like, "Why are there so many languages?", "How is Python different from other languages?", and "What concepts should I learn next?" Afterwards, the lessons end with a crash-course on data analysis and web development, the two primary uses of Python.

This 6+ hour LiveLesson video helps absolute beginners get started in Python, which is one of the most popular and in-demand languages in use today. Python was created with beginners in mind, but don't let its simple nature fool you. It is used by professional developers in a wide range of applications, such as web programming, data analysis, machine learning, and DevOps. While most introductory courses focus on the basics of the language, this course goes one step further to explain how Python is used in practice in the fields of data analysis and web development.

Students learn fundamental programming concepts‚ for example, variables and functions. They are given hands-on, modular problems to solve so they can progress as they go. Finally, students tie it all together and experiment with some real programming in the form of text-based games.

The overall goal of this course is to help absolute beginners learn from scratch, navigate the esoteric world of software development, and then kick-start their programming journey with introductions to two of the more common uses of Python: data analysis and web development.

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[0dayddl]

Introduction to Python, 2nd Edition: Learn How to Program Today with Python
Released 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 9h 36m | Size: 2.18 GB​

Table of contents
Introduction
Introduction to Python: Introduction
Lesson 1: Introduction to Programming and Python
Learning objectives
1.1 Install Python
1.2 Choose a code editor
1.3 Run Python code
1.4 Write an area calculator
1.5 More context: Understand what programming is
Lesson 2: Python and Programming Basics
Learning objectives
2.1 Learn about types
2.2 Work with variables
2.3 Debug errors
2.4 Manipulate strings
2.5 Write a Mad Libs program
2.6 Use modules
2.7 Write your own functions
2.8 Write a timer game
2.9 More context: Learn about Python
Lesson 3: Control Flow with Conditionals
Learning objectives
3.1 More context: Useful skills for programmers
3.2 Identify true and false statements
3.3 Use conditional "if" statements
3.4 Write a number-guessing game
Lesson 4: Lists and Loops
Learning objectives
4.1 Use a "while" loop
4.2 Improve the number-guessing game with "while" loops
4.3 Create and manipulate lists
4.4 Loop over sequences with "for" loops
4.5 Write a quiz game
4.6 More context: Refactor your code
Lesson 5: Additional Language Topics
Learning objectives
5.1 More context: Discuss how to keep learning
5.2 Look at more data structures
5.3 Read files
5.4 Write more complex functions
5.5 Program with classes
5.6 Import external packages
5.7 Add type-hints
Lesson 6: Introduction to Data Analysis in Python
Learning objectives
6.1 Look at the ecosystem
6.2 Start a Jupyter notebook
6.3 Import a dataset
6.4 Clean some data
6.5 Plot the data
6.6 Find some statistics
Lesson 7: Introduction to Web Development in Python
Learning objectives
7.1 Look at the anatomy of a web app
7.2 Start a web app with Flask
7.3 Create a static page
7.4 Get content from the back-end
7.5 Make the page dynamic
7.6 Hook up a database
7.7 Get more context: databases and deployment
Summary
Introduction to Python: Summary

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