Python Fundamentals E-Learning
Order this unique E-Learning Python Fundamentals course online!
✔️ 1 year 24/7 access to rich interactive videos, voice commands and progress monitoring via reports.
✔️ Learn the basics of Python and start writing efficient and readable code.
✔️ Receive a certificate of participation upon completion.
Why choose this course?
Python is one of the most popular and accessible programming languages in the world. Thanks to its simple syntax, extensive libraries and versatility, Python is used for web development, data analysis, artificial intelligence, automation and much more. This course provides a thorough introduction to the basics of Python so you can get started programming quickly.
What you learn:
- Fundamentals of Python: Variables, data types, functions and control flows.
- Object-oriented programming (OOP): Learn how to use Python to create and apply objects and classes.
- Functional and Imperative Programming: Discover the different ways to apply Python for different purposes.
- Python style and best practices: Learn the important syntax rules and write code that is both readable and maintainable.
This course provides everything you need to successfully learn Python as a beginner and prepare for the next steps in your programming career.
Who should participate?
This training is perfect for:
- Beginning programmers who want to build a solid foundation in Python.
- Software developers who want to expand their skills into Python, a versatile language.
- Data scientists who want to get started with Python for data analysis or machine learning.
- Someone who wants to enter the programming world and is interested in developing practical, easy-to-use software.
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
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
Get started with Python Fundamentals!
✔️ Flexible learning style: Learn at your own pace with interactive videos and hands-on assignments.
✔️ Immediate application: Apply the knowledge immediately through exercises and tests per chapter.
✔️ Develop as a Python programmer: Build the skills needed to use Python effectively in different domains.
Order your course now and start your journey into Python programming!
