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Python 3 tutorial series outline

Python 3 tutorial series outline

Python 3 tutorial series is put together to take you from beginner to advanced programming. Here are the series scripts and links to all course scripts and videos.

Getting started with Python 3:

In this tutorial, we will cover the basics of setting up a Python development environment, including installing Python 3 and an IDE or text editor

  • Introduction to the topics to be covered
  • Explanation of what Python is and its use cases
  • Setting up a development environment, including installing Python 3 and an IDE or text editor
  • Basic syntax and structure of a Python program
  • Demonstration of running a simple program in the development environment

Data types and variables:

This Tutorial will cover the different data types in Python 3, such as integers, strings, and lists, as well as how to create and manipulate variables.

  • Introduction to data types and variables in Python 3
  • Explanation of different data types such as integers, strings, and lists
  • Demonstration of how to create variables and assign values to them
  • Explanation of variable naming conventions and best practices
  • Demonstration of how to perform basic operations on variables and data types

Conditional statements and loops:

Here we will cover how to use if-else statements and for/while loops in Python 3 to control the flow of a program.

  • Introduction to conditional statements and loops in Python 3
  • Explanation of how to use if-else statements to control the flow of a program
  • Demonstration of how to use for and while loops to iterate over data
  • Explanation of best practices for using loops and avoiding infinite loops
  • Demonstration of how to use the built-in range function to control loops
  • Conclusion of the video and next steps for further learning.

Functions and modules:

We will learn how to create and use functions and modules in Python 3, including how to import and use built-in and third-party modules.

  • Introduction to functions and why they are important in Python
  • Defining and calling functions
  • Function arguments and return values
  • Using built-in and third-party modules
  • Importing and using modules in a program

Object-Oriented Programming:

This tutorial will cover the basics of OOP in Python 3, including classes, objects, inheritance, polymorphism, and encapsulation.

  • Introduction to OOP concepts
  • Creating classes and objects
  • Using constructors and class methods
  • Inheritance and polymorphism
  • Encapsulation and data hiding

File Input/Output:

This tutorial will cover how to read and write files in Python 3, including text and binary files.

  • Opening and closing files
  • Reading and writing text and binary files
  • Using file objects and file methods
  • Handling exceptions and errors

Working with Data:

This will cover how to use popular libraries such as Pandas, Numpy, and Matplotlib to work with data, including loading data from files, cleaning and processing data, and creating visualizations.

  • Introduction to popular data libraries such as Pandas, Numpy and Matplotlib
  • Loading data from files
  • Cleaning and processing data
  • Creating visualizations
  • Using DataFrame and Series

Web Scraping:

This will cover how to use Python 3 to scrape data from websites, using libraries such as BeautifulSoup and Selenium.

  • Introduction to web scraping and its applications
  • Using BeautifulSoup and Selenium libraries
  • Scraping data from websites
  • Handling exceptions and errors

Web Development:

This tutorial will cover how to use Python 3 to create web applications, using frameworks such as Flask and Django.

  • Introduction to web development with Python
  • Creating a web application using Flask or Django
  • Handling routes and views
  • Using templates and forms

Machine Learning:

Finally, we will look at how to use Python 3 to implement machine learning algorithms, using libraries such as scikit-learn and TensorFlow.

  • Introduction to machine learning
  • Using scikit-learn and TensorFlow libraries
  • Implementing supervised and unsupervised learning algorithms
  • Training and evaluating models
  • Handling errors and exceptions.

It’s worth noting that, these series promise to be interactive because you will be seeing live coding and coding challenges or quizzes at the end of each video. So follow along on the script or watch the videos to attempt the challenges.

You will be learning coding by doing. please endeavor to write down every example and practice on your own to get the best out of this tutorial.

Lets get to work >>

Courses in the module

  • Getting started with Python 3

    Getting started with Python 3

    Table of Contents Hide Part 1. [Introduction]Section 1: What is Python? Section 2: Why use Python? Section 3:…


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