Python Fundamentals E-Learning

Order this amazing, award-winning Python Fundamentals E-Learning course online, 1 year 24/7 access to extensive interactive videos, speeches, hands-on tasks and progress monitoring. After the course you will receive a certificate of attendance.

Python is a high-level programming language that has code readability and simplicity as its primary design goals. Python is an interpreted language and supports object-oriented, functional imperative, and procedural paradigms. This series of Skillsoft courses covers the basics of Python and focuses on getting you up to speed writing code that conforms to the Pythonic style.

Course content

Setting Up

Course: 38 Minutes

• Course Introduction
• An Overview of Python
• The Philosophy of Python
• Python 2 vs Python
• Installing Python
• Installing Python 3 on Linux
• Python IDEs

A Basic Program

Course: 35 Minutes

• Whitespace in Python
• Read, Evaluate, Print, Loop
• Hello World
• User Input
• Modules and Imports

Data Types

Course: 19 Minutes

• The int Type in Python
• The float Type in Python
• Basic Math Functions in Python
• The bool Type in Python

Sequence Types

Course: 57 Minutes

• The str Type in Python
• The bytes Type in Python
• The bytearray Type in Python
• The list Type in Python
• The tuple Type in Python
• Slicing in Python

Collection and Mapping Types in Python

Course: 25 Minutes

• The range Type and Function in Python
• The set Type in Python
• The dict Type in Python

Loops and Conditionals

Course: 31 Minutes

• The While Loop in Python
• The For Loop in Python
• The if Statement in Python

Practice: Writing a Python Program

Course: 4 Minutes

• Exercise: Name Reverser

Modules and Functions

Course: 39 Minutes

• Course Introduction
• Importing a Module at the REPL
• Defining a Function
• Python Scripts, Modules, and Programs
• Running a Module as a Script
• Command Line Arguments

Classes

Course: 1 Hour, 18 Minutes

• Classes and Types
• Class Definition
• Class Initialization
• Class Instance Methods
• Static Methods
• Inheritance
• Properties
• Properties with Inheritance
• Operator Overloading

Documenting Code

Course: 21 Minutes

• Docstrings
• Code Comments
• Documentation Best Practice

Files

Course: 28 Minutes

• Reading Text Files
• Writing Data
• Writing Large Files
• Reading Binary Data
• Writing Binary Data

Practice: Creating Classes

Course: 6 Minutes

• Exercise: Creating a Custom Data Type6 2.55

Comprehensions

Course: 42 Minutes

• Course Introduction
• List Comprehensions
• Nested Comprehensions
• The zip() Function in Comprehensions
• Set Comprehensions
• Dictionary Comprehensions

Iterables

Course: 57 Minutes

• Basic Iteration
• The map() Function
• The filter() Function
• The functools.reduce() Function
• Implementing an Iterator
• Implement an Iterable Using __getItem
• Implement an Iterable Using Extended iter

Generators

Course: 28 Minutes

• Simple Generators
• Lazy Generators
• Recursive Generators

Exceptions

Course: 1 Hour, 29 Minutes

• Catching All Exceptions
• Catching Specific Exception Classes
• The Exception Hierarchy
• Exception Payloads
• Creating New Exceptions
• Traceback Objects
• Assertions
• Chaining Exceptions

Practice: Creating an Iterable

Course: 9 Minutes

• Exercise: Creating an Iterable Data Type

The Django Framework for Python

Course: 59 Minutes

• Course Introduction
• The Django Framework
• Setting up Django
• Creating a Django Project
• The Django Web Server
• Creating Django Apps
• Django Views and Templates
• Working with Data in Django
• Django Forms

The TurboGears Framework for Python

Course: 50 Minutes

• The TurboGears Framework
• Installing TurboGears for Python
• TurboGears Templates
• TurboGears Views
• TurboGears Controllers
• TurboGears and Rendering
• TurboGears and Data
• TurboGears and REST

The Flask Web Framework for Python

Course: 35 Minutes

• The Flask Framework
• Creating a Basic Flask Application
• Using Templates in Flask
• Working with Web Forms
• Connecting to Data with Flask

Practice: Working with Web Frameworks

Course: 5 Minutes

• Exercise: Creating a Django View

The web2py Framework for Python

Course: 55 Minutes

• Course Introduction
• Introduction to web2py
• web2py Core
• web2py Views
• web2py Data Abstraction
• web2py Forms and Validation
• web2py Messaging
• web2py Authentication and Authorization
• web2py Services

Python Testing Frameworks

Course: 31 Minutes

• Testing with Python
• The Doctest Module
• Doctests in Docstrings
• Doctest Exceptions and Directives
• Understanding Unit Testing

Unit Testing in Python

Course: 50 Minutes

• Using Python Mocker
• Running Unit Tests with Unittest
• Working with Test Fixtures
• Test Iterations with Subtests
• Unit Testing with Nose
• Unit Testing with Pytest
• Acceptance Testing with the Robot Framework
• Web Automation Testing Using Selenium

Practice: Working with Testing

Course: 3 Minutes

• Exercise: Creating and Running Tests

Introduction to Data Science for Python

Course: 1 Hour, 39 Minutes

• Course Introduction
• Introduction to Anaconda
• Introduction to Jupyter/IPython
• Working with Jupyter/IPython
• Introduction to NumPy
• Working with NumPy Arrays
• Introduction to Pandas
• Data Manipulation with Pandas
• Data Visualization with Matplotlib
• Python and SciKit-learn
• Supervised Learning with SciKit-learn
• Geospatial Analysis using ArcGIS
• Text Analytics with NLTK
• Social Network Analysis using Networkx
• The BeautifulSoup Parser for Python
• Working with PySpark for Big Data

Practice: Working with Python and Data Science

Course: 3 Minutes

• Exercise: Working with Pandas