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73

Learn Python 3 from Beginner to Advanced

Get Your Hands Dirty Learning One of the Most Important Programming Languages

By Ermin Kreponic | in Online Courses

Python is widely considered one of the best first programming languages to learn because of its general-purpose nature and its relatively simple syntax and readability. This course will introduce you to the newest version of Python, Python 3, and teach you how to utilize this important language through hands-on examples. If you've ever wanted to learn to code, this is the place to start!

  • Access 73 lectures & 8 hours of content 24/7
  • Install Python & set up sublime text to build Python
  • Understand the various data types & variables in Python
  • Differentiate between comments, expressions, & strings
  • Explore branching, loops, functions, exception handling, & more
  • Learn how to write programs w/ real-life applications
Ermin Kreponic is a strongly motivated young IT expert, Linux enthusiast with a passion for troubleshooting network related problems. He has an exceptional eye for details and a sense of urgency when it comes down to problem solving.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • Welcome to Python 3
    • Introduction (5:16)
  • Setup
    • Installing Python (4:57)
    • Setting up Sublime Text to Build Python (5:32)
  • Introduction
    • First Program in Python (1:14)
    • Data Types (1:38)
    • Variables (4:10)
    • Indentation (1:16)
    • How to Clear Screen (0:46)
  • Comments
    • Single-line Comments (2:15)
    • Multi-line Comments (1:47)
  • Expressions
    • Basic Arithmetic (2:55)
    • Division Characteristics (4:06)
    • Operator Precedence (2:17)
    • Complex Arithmetic (5:56)
    • Binary Number Manipulation (5:44)
  • Strings
    • Basic String Manipulation (9:41)
    • Using the format Method (7:34)
    • Specific Characters (4:00)
  • Branching
    • Logical Operators and Conditional Statements (7:50)
    • if Statement (4:38)
    • if else Statement (4:40)
    • if elif Statement (5:45)
    • Ternary Operator (2:51)
  • Loops
    • for Loop Part 1 (4:47)
    • for Loop Part 2 (3:34)
    • for Loop Part 3 (5:40)
    • while Loop (2:23)
    • break and continue Statements (2:11)
  • Functions
    • Defining and Calling Functions and Returning Values (5:26)
    • Passing Arguments, Default Parameters, Scope, and Nested Functions (11:45)
    • Recursive Functions (6:55)
    • Lambda Functions (4:56)
  • Exception Handling
    • Exceptions and Errors (3:43)
    • Handling Exceptions (8:32)
    • Throwing Exceptions (6:11)
  • Data Input
    • Data Input Setup and Input Function (6:05)
    • File Management: Reading (9:18)
    • File Management: Writing (4:10)
  • Useful Data Structures
    • Tuples (9:31)
    • Tuple Functions (1:25)
    • Lists (6:03)
    • List Functions (5:33)
    • Dictionaries (6:56)
    • Shallow Copies (2:48)
    • Sets (5:26)
    • Set Functions (1:23)
  • Modules and Packages
    • Modules (4:12)
    • Packages (3:28)
    • Built-in Modules (10:03)
  • Object Oriented Programming (OOP)
    • Introduction to OOP (3:16)
    • Class Definition and Object Instantiation (9:45)
    • Class Methods Part 1 (4:45)
    • Class Methods Part 2 (9:56)
    • Operator Overloading (13:19)
    • Class Inheritance Part 1 (10:28)
    • Class Inheritance Part 2 (2:58)
    • Extra Notes in Python (5:14)
  • Data Visualization
    • Installing Modules for Visualization (14:36)
    • Visualization Part 1 (15:49)
    • Visualization Part 2 (16:13)
    • Visualization Part 3 (8:09)
    • Pandas Library (8:56)
  • Numpy Library
    • Instaling the Numpy Library (5:00)
    • Creating Numpy Objects (11:52)
    • Useful Functions from the Numpy Library (19:09)
    • Basic Operations with Numpy Library (7:57)
  • Debugging
    • The pdb Module (9:44)
    • Commands for Debugging Part 1 (10:19)
    • Commands for Debugging Part 2 (13:24)
  • Regular Expressions
    • Creating, Evaluating, and Compiling Regular Expressions (10:44)
    • Patterns (18:27)
    • Division and Grouping the Results (8:30)
    • Setting the Search Parameters (12:23)

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66

The Ultimate Beginner's Guide to Django

Boot Up This Web Framework Written In Python & Develop Websites Fast

By Nick Walter Apps | in Online Courses

Django is a web framework written in Python that promotes rapid development and pragmatic design. This course will teach you how to deploy a blog to a Ubuntu Linux server independently, build a Pig Latin translator, and a design a Reddit clone. By building these three projects, you'll gain an expertise using Python in web development.

  • Access 66 lectures & 7 hours of content 24/7
  • Learn how to start a new project & create apps within a project
  • Run a project in a virtual environment using Virtualenv
  • Understand how to work w/ templates & debug
  • Explore authentication & user accounts
  • Build 3 websites using Django
Nick Walter is an iOS developer that has been focused on mobile app design and creation for over 3 years. His involvement in the iOS community started off with a bang, and in 2013 was one of 25 students worldwide to be invited to Apple's "Cocoa Camp." Since the announcement of the new Swift programming language by Apple, he has buried himself in the Apple documentation and any online resources available. He currently has 8 iOS apps in the App Store, which total over 300,000+ downloads.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • Welcome
    • Introduction (6:20)
  • Python Refresher
    • 1 - Intro Python Refresher (0:40)
    • 2 - Install Python (3:33)
    • 3 - Varibles Strings Ints Print (6:21)
    • 4 - If Statements and Comments (6:35)
    • 5 - Functions (6:19)
    • 6 - Lists (5:37)
    • 7 - Loops (5:52)
    • 8 - Dictionaries (4:07)
    • 9 - Classes (9:51)
    • 10 - Outro Python Refresher (1:02)
  • Site #1 - Pig Latin Translator
    • 1 - Intro PigLatin (1:18)
    • 2 - Installing Django (2:56)
    • 3 - Creating a Project (8:24)
    • 4 - Project Tour (7:15)
    • 5 - Urls (10:06)
    • 6 - HTML (9:55)
    • 7 - Forms (4:49)
    • 8 - Sending Data (10:29)
    • 9 - Pig Latin Translationg (11:44)
    • 10 - View Dictionary (8:58)
    • 11 - Challenge - About Page (2:30)
    • 12 - Solution - About Page (4:19)
    • 13 - Outro PigLatin (1:11)
  • Site #2 - Personal Blog
    • 1 - Intro Blog Django (0:56)
    • 2 - Sketch Blog Django (2:36)
    • 3 - Virtualenv (6:13)
    • 4 - Apps - What they are and creating our first (4:48)
    • 5 - App Views (7:50)
    • 6 - Models (13:33)
    • 7 - Admin (10:46)
    • 8 - Displaying Posts (6:51)
    • 9 - Model Mehtods (6:24)
    • 10 - Images (6:13)
    • 11 - RegEx (9:06)
    • 12 - Post Deatils (7:58)
    • 13 - Bootstrap and Design (8:01)
    • 14 - NavBar (9:50)
    • 15 - HomePage Design (8:26)
    • 16 - Static Images (6:36)
    • 17 - Cleanup (4:59)
    • 18 - DISQUS (9:06)
    • 19 - Challenge Blog (3:15)
    • 20 - Soultion Blog (6:40)
    • 21 - Outro Blog (1:19)
  • Publishing a Website on a VPS (Virtual Private Server)
    • 1 - Intro Publish (1:21)
    • 2 - Vultr (6:44)
    • 3 - Security (7:45)
    • 4 - Pip and Virtualenv (4:49)
    • 5 - Uploading Our Code (6:32)
    • 6 - Runserver (5:04)
    • 7 - Gunicorn (10:48)
    • 8 - Nginx (10:31)
    • 9 - Outro Publish (1:14)
  • Site #3 - Reddit Clone
    • 1 - Intro Reddit (1:03)
    • 2 - Sketch Reddit (2:42)
    • 3 - Project Setup (7:08)
    • 4 - Sign Up View (7:51)
    • 5 - POST vs GET (6:19)
    • 6 - Creating Users (8:36)
    • 7 - Username Uniqueness (6:32)
    • 8 - Login (10:06)
    • 9 - URL Include (8:15)
    • 10 - Posts App (7:53)
    • 11 - Next redirect (9:44)

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Lessons
83

Python for Programmers

Learn Python Quickly In This Accelerated Course

By Nick Walter Apps | in Online Courses

Use in-browser programming exercises to fortify your Python programming knowledge in this hands-on course designed for programmers. Learn quickly or at your own pace - at the end of the day, you'll have solidified an understanding of this important language.

  • Access 83 lectures & 6 hours of content 24/7
  • Set up Python & start coding
  • Get an introduction to If Statements
  • Understand user input, functions, lists, loops, & more
  • Build multiple projects to master Python
  • Explore dictionaries & classes
Nick Walter is an iOS developer that has been focused on mobile app design and creation for over 3 years. His involvement in the iOS community started off with a bang, and in 2013 was one of 25 students worldwide to be invited to Apple's "Cocoa Camp." Since the announcement of the new Swift programming language by Apple, he has buried himself in the Apple documentation and any online resources available. He currently has 8 iOS apps in the App Store, which total over 300,000+ downloads.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • Welcome
    • 1 - Intro Welcome (4:28)
    • Coding Exercise 1 - Hello World
    • 2 - Python 2 vs 3 (1:53)
    • 3 - Setup on Mac (8:50)
    • 4 - Setup on Windows (8:49)
  • Numbers
    • 1 - Intro Numbers (1:02)
    • 2 - Varibales and Ints (3:12)
    • 4 - Math (6:09)
    • 3 - Floats (1:18)
    • 5 - Advanced Math (5:58)
    • 6 - Conversion (5:12)
    • 7 - Outro Numbers (0:35)
  • Strings
    • 1 - Intro Strings (0:38)
    • 2 - Basics (2:57)
    • 3 - Comments and Trippel Quotes (4:24)
    • 4 - Escaping (4:09)
    • 5 - Concat (4:15)
    • 6 - Methods and Functions (4:00)
    • 7 -Index characters and slicing (4:20)
    • 8 - Outro Strings (0:55)
  • If Statements
    • 1 - Intro If Statements (0:26)
    • 2 - If Else Elif (6:40)
    • 3 - Conditionals (2:38)
    • 4 - And and Or (4:31)
    • 5 - Outro If Statements (0:30)
  • PROJECT 1 - Grade Calc Bot
    • 1 - Kickoff Project 1 (4:47)
    • 2 - Walkthrough Project 1 (11:04)
  • User Input
    • 1 - Intro User Input (0:51)
    • 2 - Input (6:25)
    • 3 - Turning Inputs into Ints (5:39)
    • 4 - Try Except (7:51)
    • 5 - Outro User Input (0:44)
  • Functions
    • 1 - Intro Functions (0:37)
    • 2 - Functions (6:45)
    • 3 - Parameters (3:46)
    • 4 - Advanced Parameters (7:45)
    • 5 - Return (3:24)
    • 6 - Outro Functions (0:40)
  • Lists
    • 1 - Intro Lists (0:56)
    • 2 - Lists (5:03)
    • 3 - Advanced Lists (6:46)
    • 4 - Tuples (3:08)
    • 5 - Sets (5:12)
    • 6 - Outro Lists (1:01)
  • Loops
    • 1 - Intro Loops (0:31)
    • 2 - For Loops (5:45)
    • 3 - While Loops (6:04)
    • 4 - Break Continue Else (6:56)
    • 5 - Outro Loops (0:29)
  • PROJECT 2 - Hangman
    • 1 - Intro Project 2 (6:23)
    • 2 - Walkthrough 1 (15:00)
    • 3 - Walkthrough 2 (8:31)
    • 4 - Walkthrough 3 (5:23)
    • 5 - Walkthrough 4 (6:41)
  • Dictionaries
    • 1 - Intro Dictionaries (0:38)
    • 2 - Dictioanries (5:53)
    • 3 - Advanced Dictionaries (8:48)
    • 4 - Outro (1:19)
  • Classes
    • 1 - Intro Classes (0:36)
    • 2 - Classes and Variables (8:09)
    • 3 - Init (6:21)
    • 4 - Methods (2:48)
    • 5 - Inheritance (4:05)
    • 6 - Outro Classes (0:57)
  • Advanced Python
    • 1 - Intro Advanced Python (0:36)
    • 2 - None (3:11)
    • 3 - Import (3:29)
    • 4 - File Reading and Writing (5:11)
    • 5 - Outro Advanced Python (0:33)
  • PROJECT 3 - Word Counter
    • 1 - Kickoff Project 3Fixed (7:13)
    • 2 - Walkthrogh 1 Project 3 (9:46)
    • 3 - Walkthrogh 2 Project 3 (8:57)
    • 4 - Walkthrogh 3 Project 3 (7:48)
  • Random Twitter Follower
    • 1 - Intro Twitter (1:27)
    • 2 - PIP (7:17)
    • 3 - Get The Followers (7:49)
    • 4 - Pick a Rando (4:34)
    • 5 - Tweet It (6:46)
    • 6 - Automation (2:55)
    • 7 - Outro Twitter (0:21)

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9

Python Scrapy

Scrape Web Data Using Python

By Stone River eLearning | in Online Courses

Scrapy is a Python library that uses XPath or CSS to scrape data from web pages. With Scrapy, you can target specific elements on a web page to glean data and information that can be used to better understand how the page works. Data scraping is an increasingly in-demand skill, and this course will verse you in a valuable tool to do it.

  • Access 9 lectures & 1 hour of content 24/7
  • Install Scrapy on your system
  • Understand what Scrapy is used for & how to use it
At Stone River eLearning, technology is all we teach. If you're interested in programming, development or design - we have it covered.

Check out our huge catalog of courses and join the over 300,000 students currently taking Stone River eLearning courses. We currently offer 125+ different technology training courses on our Stone River eLearning website and are adding new courses on hot and trending topics every month. A subscription option is available for those with a real passion for learning.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • Scrapy
    • Course Introduction (1:39)
    • Module Introduction (1:36)
    • Scrapy Introduction (7:42)
    • Text Extraction (10:25)
    • Scrapy Execution (4:27)
    • Scraping with CSS (9:42)
    • Another XPath Scrape (8:11)
    • Project Instructions (5:03)
    • Project Solution (5:35)
    • Module Summary (0:39)

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8

Python Scipy

Simplify Computational Functions with This Open-Source Library

By Stone River eLearning | in Online Courses

Performing mathematical functions in code sounds difficult because, well, it is. However, with Python's Scipy library, you can create and execute complex computational functions with considerably more ease. Whether you need to process and calculate mass amounts of data or you're just a statistics nut, learning Scipy will be an enormous asset.

  • Access 8 lectures & 1 hours of content 24/7
  • Learn what Scipy is & how to use it
  • Install the Scipy library
  • Perform simple mathematical computations & move on to more advanced ones
At Stone River eLearning, technology is all we teach. If you're interested in programming, development or design - we have it covered.

Check out our huge catalog of courses and join the over 300,000 students currently taking Stone River eLearning courses. We currently offer 125+ different technology training courses on our Stone River eLearning website and are adding new courses on hot and trending topics every month. A subscription option is available for those with a real passion for learning.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • SciPy
    • Module Introduction (1:37)
    • Basic Computations (7:56)
    • Complex functions (8:23)
    • Integrals (11:07)
    • Double Integrals (3:13)
    • Statistics (10:06)
    • Project (Linear Algebra) (8:59)
    • Module Summary (1:06)

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11

Python Numpy

Learn Scientific Computing with Python

By Stone River eLearning | in Online Courses

Numpy is the fundamental package for scientific computing with Python. This course will give you an immersive understanding of this Python library as you follow matrix computing examples, and learn various scenarios in which Numpy is incredibly useful. By course's end, you'll have a full grasp of the computational power of this library.

  • Access 11 lectures & 1 hour of content 24/7
  • Express fully why Numpy should be used
  • Install Numpy on your system
  • Understand how to use Numpy to perform computations
At Stone River eLearning, technology is all we teach. If you're interested in programming, development or design - we have it covered.

Check out our huge catalog of courses and join the over 300,000 students currently taking Stone River eLearning courses. We currently offer 125+ different technology training courses on our Stone River eLearning website and are adding new courses on hot and trending topics every month. A subscription option is available for those with a real passion for learning.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • NumPy
    • Introduction (1:13)
    • What is Numpy (3:12)
    • Basic Mathematics (6:23)
    • Tour of Numpy I (8:03)
    • Tour of Numpy II (10:17)
    • Matrices (6:56)
    • Deviations (3:18)
    • Eigen Values (5:18)
    • Covariance (9:55)
    • Project (Determinants) (9:33)
    • Summary (1:03)

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11

Learn iPython

Accelerate Your Python Development with iPython's Full IDE

By Stone River eLearning | in Online Courses

As you get more advanced at Python, you'll start working with longer form code, which the typical Python command line simply isn't designed for. In this case, you'll need iPython, the full IDE designed to handle more complex, longer code. Over this example-driven course, you'll learn how to use iPython and understand its many efficiency techniques that make coding with Python just that much easier.

  • Access 11 lectures & 1.5 hours of content 24/7
  • Learn how to enter in code, markdown for comments & rearrange & edit code as needed
  • Explore Airplane Factory & Graphics in iPython
At Stone River eLearning, technology is all we teach. If you're interested in programming, development or design - we have it covered.

Check out our huge catalog of courses and join the over 300,000 students currently taking Stone River eLearning courses. We currently offer 125+ different technology training courses on our Stone River eLearning website and are adding new courses on hot and trending topics every month. A subscription option is available for those with a real passion for learning.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • iPython
    • Introduction (1:05)
    • iPython Basics I (7:47)
    • iPython Basics II (9:42)
    • iPython Basics III (5:44)
    • Airplane Factory I (9:57)
    • Airplane Factory II (9:52)
    • Graphics I (8:10)
    • Graphics II (5:23)
    • Project I (11:35)
    • Project II (5:11)
    • Summary (0:42)

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8

Python BeautifulSoup

Extract Data From Web Pages Efficiently & Safely

By Stone River eLearning | in Online Courses

BeautifulSoup is a Python library that helps you extract data from HTML or live pages across the internet. If you want to find data within web pages or mimic them in your own designs, BeautifulSoup will do that. In this course, you'll learn how to identify specific data within an HTML tree, giving you more flexibility in your web development.

  • Access 8 lectures & 1 hour of content 24/7
  • Learn how to identify data within the HTML tree
  • Build a parsing rule to extract data using BeautifulSoup
  • Understand the code needed to execute an extract using specific examples
At Stone River eLearning, technology is all we teach. If you're interested in programming, development or design - we have it covered.

Check out our huge catalog of courses and join the over 300,000 students currently taking Stone River eLearning courses. We currently offer 125+ different technology training courses on our Stone River eLearning website and are adding new courses on hot and trending topics every month. A subscription option is available for those with a real passion for learning.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • BeautifulSoup
    • Introduction (0:59)
    • Simple HTML Parsing I (11:28)
    • Simple HTML Parsing II (6:09)
    • Walking the Tree (11:17)
    • Real Webpage Extraction (9:27)
    • Project (12:13)
    • Summary (0:30)
    • Course Summary (1:06)

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46

Python Object Oriented Programming Fundamentals

Create Python Applications Using the Most Up to Date Programming Techniques

By Stone River eLearning | in Online Courses

Object-Oriented Programming is a programming language model organized objects rather than "actions" and data rather than logic. This discipline can be used to create advanced and easy maintainable Python applications, and this course will teach you how to do just that. By learning the most up to date tools and techniques you'll be ready to build applications fast and deploy them with extreme efficiency.

  • Access 48 lectures & 4 hours of content 24/7
  • Download & install the required software
  • Create new Python applications that use Object-Oriented Programming
  • Understand essential Object-Oriented Programming constructs
  • Create a Python object & obtain its attributes
  • Explore the constructor & destructor magic methods
  • Discover class inheritance
At Stone River eLearning, technology is all we teach. If you're interested in programming, development or design - we have it covered.

Check out our huge catalog of courses and join the over 300,000 students currently taking Stone River eLearning courses. We currently offer 125+ different technology training courses on our Stone River eLearning website and are adding new courses on hot and trending topics every month. A subscription option is available for those with a real passion for learning.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • Introduction to the Course
    • Course Introduction (1:46)
    • Installing Python IDE (3:59)
  • Essential Constructs
    • Section Introduction (2:21)
    • Class Construct (4:05)
    • The Special init Method (3:48)
    • Attributes (4:23)
    • Methods (4:42)
    • Class Variables (5:21)
    • Obtaining Class Attribute Values (7:00)
    • The Main Method (5:32)
    • Section Summary (3:26)
    • Exercise Live Demo (2:46)
    • Project Explanation (3:59)
  • The Python Object
    • Section Introduction (2:46)
    • How to Create an Object (5:40)
    • Obtaining Object Attributes (7:46)
    • Changing Object Attribute Values (8:31)
    • Accessing Objects Methods Part 1 (8:17)
    • Accessing Objects Methods Part 2 (7:34)
    • Section Summary (2:38)
    • Exercise Live Demo (2:40)
    • Exercise Explanation (6:28)
  • The Constructor/Destructor Magic Methods
    • Section Introduction (3:08)
    • The Constructor Part 1 (5:51)
    • The Constructor Part 2 (4:12)
    • Destructor (5:25)
    • Public Access modifiers (7:04)
    • Private Access Modifiers (7:48)
    • Section Summary (4:28)
    • Excerise Live Demo (2:25)
    • Project Explanation (5:27)
  • Class Inheritance
    • Section Introduction (2:58)
    • Building The Child Class Part 1 (5:50)
    • Building The Child Class Part 2 (5:01)
    • Building The Child Class Part 3 (8:33)
    • Building The Parent Class Part 1 (7:20)
    • Building The Parent Class Part 2 (6:00)
    • Importing Classes (9:08)
    • Overriding Methods (8:44)
    • Section Summary (4:21)
    • Exercise Live Demo (2:10)
    • Exercise Explanation (4:50)
  • Final Project
    • Final Project Live Demo (3:08)
    • Final Project Explanation Part 1 (5:48)
    • Final Project Explanation Part 2 (3:53)
  • Course Conclusion
    • Course Conclusion (1:30)

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