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

• 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

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!