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Python: Zero to Coder (Video Collection)

Python: Zero to Coder (Video Collection)

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Description

  • Copyright 2022
  • Edition: 1st
  • Online Video
  • ISBN-10: 0-13-794930-8
  • ISBN-13: 978-0-13-794930-4

Overview
16+ Hours of Video Instruction
 
Description
This master class includes the following courses:
* Introduction to Python: Learn How to Program Today with Python
* Next Level Python


Introduction to Python: Learn How to Program Today with Python

This 7+ 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, such as conditionals, loops, 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 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.

The companion files for this LiveLesson can be accessed from https://github.com/ariannedee/intro-to-python-livelessons.


Next Level Python

Python was originally designed with learners in mind. It is also used by professional developers in a wide range of applications.


In this LiveLesson, you learn essential skills to move past a beginner level and become a proper Python developer. Such skills include using external libraries, managing project environments, handling exceptions, and making HTTP requests. By the end of the lessons, you will have created a web scraper in Python that gathers data from a website and outputs it into a CSV formatted file. Along the way, you will be introduced to key software construction concepts like testing, debugging, and refactoring.

The source code repository for this LiveLesson is kept at https://github.com/ariannedee/next-level-python-livelessons.



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.


Sample Content

Table of Contents

Introduction to Python: Learn How to Program Today with Python

Lesson 1: Introduction to Programming and Python
1.1 Install Python and PyCharm
1.2 Run your first Python code
1.3 Get more context: understand what programming is
Lesson 2: Python and Programming Basics
2.1 Learn about types
2.2 Work with variables
2.3 Debug errors
2.4 Use libraries
2.5 Get more context: learn about Python
2.6 Write your own functions
2.7 Manipulate strings
2.8 Write a Mad Libs program
Lesson 3: Control Flow with Conditionals
3.1 Get more context: solve problems like a programmer
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
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 lists with "for" loops
4.5 Write a word-guessing game
4.6 Get more context: clean up and test your code
Lesson 5: Advanced Language Topics
5.1 Get more context: discuss how to keep learning
5.2 Look at more data structures
5.3 Create list comprehensions
5.4 Read files
5.5 Write more complex functions
5.6 Program with classes
5.7 Import external libraries
5.8 Manage virtual environments
Lesson 6: Introduction to Data Analysis in Python
6.1 Look at the ecosystem
6.2 Set up Anaconda in Jupyter
6.3 Import a dataset
6.4 Plot the data
6.5 Clean some data
Lesson 7: Introduction to Web Development in Python
7.1 Look at the anatomy of a web app
7.2 Start a web app with Flask
7.3 Learn the basics of HTML and CSS
7.4 Fill in website functionality
7.5 Understand some JavaScript and JQuery
7.6 Get more context: databases and deployment

Next Level Python
Lesson 1: Look at Python Basics
1.1 Setup your environment
1.2 Review functions, conditionals, and lists
1.3 Store data in dictionaries
1.4 Handle exceptions
1.5 Work with dates and times
1.6 Use regular expressions
Lesson 2: Work with Files
2.1 Read data from a file
2.2 Write data to a file
2.3 Read and write to CSV files
Lesson 3: Manage Your Python Environments
3.1 Work with the command line
3.2 Install external libraries using pip
3.3 Create virtual environments using venv
3.4 Understand git and GitHub
3.5 Set up your code to be shared
3.6 Clone a project
Lesson 4: Choose an IDE
4.1 Explore Jupyter notebooks and Spyder for data science
4.2 Compare PyCharm and VS Code for software development
4.3 Configuring PyCharm
4.4 Learning PyCharm shortcuts
Lesson 5: Understand Python Modules and Namespaces
5.1 Look at modules and imports
5.2 Understand the use of __init__.py files
5.3 Learn about namespaces and scope in Python
Lesson 6: Debug and Test Your Code
6.1 Debug with PyCharms debugger tool
6.2 Testing with unittest and pytest
6.3 Practice testing
6.4 Practice debugging
Lesson 7: Getting Data from the Web
7.1 Use the Requests library to make HTTP requests
7.2 Review web pages and HTML
7.3 Parse HTML documents with Beautiful Soup
7.4 Scrape authenticated sites
7.5 Make API requests
Lesson 8: Create a Web Scraping Application
8.1 Discuss the project and web scraping ethics
8.2 Set up the environment
8.3 Scrape data from Wikipedia
8.4 Save table data as CSV
8.5 Get detailed data from Wikipedia
8.6 Refactor code in PyCharm
Lesson 9: Put your Project on the Internet
9.1 Run your code in the cloud
9.2 Create an Anvil web app


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