Skill Up with Python (Video Collection)

Description

• Copyright 2024
• Edition: 1st

• Online Video
• ISBN-10: 0-13-536082-X
• ISBN-13: 978-0-13-536082-8

8 Hours of Video Instruction

Overview:

Python has risen to popularity as one of the most versatile and beginner-friendly programming languages. Its simplicity, readability, and extensive libraries make it a powerful language for a wide variety of different domains. It is widely used in web development, data analysis, scientific computing, artificial intelligence, and automation. Python's versatility and large community support make it an excellent language to kickstart your programming journey.

This master class includes the following courses:

• Skill Up with Python: Introduction
• Skill Up with Python: Web Development Recipes
• Skill Up with Python: Data Science and Machine Learning Recipes

Skill Up with Python: Introduction is a beginner course that offers a hands-on approach to learning Python by building a series of practical projects from scratch.

Skill Up with Python: Web Development Recipes offers a hands-on approach to building your Python skills through a series of practical projects from scratch. Hone your expertise in areas such as data analysis, machine learning, web scraping, and more.

Skill Up with Python: Data Science and Machine Learning Recipes offers a hands-on approach to building your Python skills through a series of practical projects from scratch. Hone your expertise in areas such as data analysis, machine learning, web scraping, and more.

Prerequisites:

• Python experience and app development background

About Pearson Video Training:

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.

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Sample Content

Table of Contents

Skill Up with Python: Introduction

Introduction

Lesson 1: Build a Guessing Game

1.1 Set up a Python Development Environment

1.2 Learn about the project

1.3 Build the basic game

1.4 Complete and run the game

Lesson 2: Build a Dice-Rolling Simulator

2.1 Learn about the project

2.2 Create and display ASCII Dice

2.3 Add more features to the simulator

Lesson 3: Build a Password Generator

3.1 Learn about the project

3.2 Generate random strings

3.3 Build the generator

3.4 Add more features to the app

Lesson 4: Build a Word-guessing Game

4.1 Learn about the project

4.2 Create a game loop

4.3 Build the core gameplay

4.4 Complete the game

Lesson 5: Build a Journal Entry Manager

5.1 Learn about the project

5.2 Create the user input loop

5.3 Create new journal entries

5.4 List journal entries

5.5 Delete journal entries

5.6 View journal entries

Summary

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Skill Up with Python: Web Development Recipes

Introduction

Lesson 1: Build a Contact Book REST API

1.1 Learn about the project

1.2 Learn the basics of Flask

1.3 Create a List endpoint

1.4 Create a Create endpoint

1.5 Create an Update endpoint

1.6 Create a Delete endpoint

Lesson 2: Build a URL Shortener Application

2.1 Learn about the project

2.2 Build the basic application

2.3 Complete and run the application

Lesson 3: Build a Full-Stack Application

3.1 Learn the basics of templating

3.2 Create multiple pages

3.3 Create supporting server endpoints

3.4 Make network requests from the front-end

Lesson 4: Build a Weather Forecast Application

4.1 Learn about the project

4.2 Make Network requests

4.3 Load data from a weather API

4.4 Complete the Application

Summary

  

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Skill Up with Python: Data Science and Machine Learning Recipes

Introduction

Lesson 1: Manipulate and Visualize Data

1.1 Get started with Jupyter Notebooks

1.2 Load data into Jupyter

1.3 Manipulate data with Pandas

1.4 Visualize data

Lesson 2: Perform Sentiment Analysis

2.1 Learn about Sentiment Analysis Tools in Python

2.2 Learn the basics of NLTK

2.3 Incorporate Sentiment Analysis into an application

2.4 Analyze with real-world data

Lesson 3: Work with Image Recognition

3.1 Learn about Image Recognition tools in Python

3.2 Learn the basics of OpenCV

3.3 Incorporate image recognition into an application

Lesson 4: Scrape Data from the Internet

4.1 Learn about web-scraping tools in Python

4.2 Learn the basics of the Beautiful Soup Library

4.3 Format and use scraped data

4.4 Modify web-scraping logic for other websites

Summary

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Updates

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