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Python For Beginners
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1 STUDENTS
3h 37m

Learn Python in a day using the Replit IDE and work with data types such as Python string, Python list Python and more.

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Course Skill Level
Beginner
Time Estimate
3h 37m

Instructor

Paul is the CEO/Managing Director and Chief Consultant at Pashun Consulting Ltd, author of Scrum Mega Pack and a certified scrum master and coach with experience in international blue chip companies dating back to 1999. Certified Scrum Master (10 years running Web, Mobile and Internet TV projects ) Portfolio/PMO Manager (coordinating agile teams, managing budgets, and continuous improvement for agile teams) Software Developer (10 years+ Experience developing web, Interactive TV and Mobile ap


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About This Course

Who this course is for:

  • Software Developers
  • Those transitioning to Python
  • Software Engineers
  • Computer Programmers

What you’ll learn: 

  • You will become a Master of Python Programming fundamentals
  • You will Learn how to install Python to get up and running in no time
  • You will learn how to process data to create Olympics Medals Tables in a less than a day
  • A massive boost in confidence applying as a Python Programmer for developer jobs
  • How to solve multiple specific problems for a customer in the real world
  • A complete overview of the basics with exercises to test your knowledge of storing, processing and storing information, working with files and much more…
  • How to be fluent in writing Python code and work with all the fundamentals of the language such as a list, string, function, dictionary, array, set and much more
  • How to use Python’s data analysis capabilities to analyse data from a real world data source
  • You will be able to take this course with no prior knowledge and run the steps flawlessly

Requirements: 

  • No prior knowledge is required to take this course 

What is Python ?

Python is one of the most popular computer programming languages of our time and  one of the most sought after skills for Software Engineering jobs. Created by Guido van Rossum in the late 1980s, it was designed to be very easy for us humans to understand. 

Its most popular uses are to create the engine which drives a website (also called the ‘back end’), and for analysing and showing information (data analysis and presentation). Other popular uses are machine learning (artificial intelligence), education, and processing of images.

How is the course structured? 

Each section features an overview of a particular aspect of Python such as What is Python, Getting set up, Storing information storing, processing and storing information, tidying messy data, working with files, handling errors, presenting information and much more. I teach you how to be fluent in writing Python code and work with all the fundamentals of the language such as a list, string, function, dictionary, array, set and much more.

Our Promise to You

By the end of this course, you will have learned the fundamentals of Python programming.

10 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Get started today!

Course Curriculum

Python For Beginners Resources
Python For Beginners Resources 00:00:00
Section 1 - Introduction
Introduction 00:00:00
Learning Objectives – Introduction 00:00:00
What Is Python? 00:00:00
The Example 00:00:00
Section 2 - Getting Set Up
Learning Objectives – Getting Set Up 00:00:00
How To Get Started With Replit 00:00:00
Writing Your First Python Program – Hello World 00:00:00
How To Work With Exercises 00:00:00
Section 3 - Storing Information
Learning Objectives – Storing Information 00:00:00
Object And Variables 00:00:00
Variable Names 00:00:00
Numbers 00:00:00
Strings 00:00:00
Showing Output When Running Python 00:00:00
Section 4 - Processing Information
Learning Objectives – Processing Information 00:00:00
Processing Information 00:00:00
Indexing 00:00:00
Slices 00:00:00
String Functions 00:00:00
The ‘Input’ Function 00:00:00
More String Operations 00:00:00
Converting Between Different Types 00:00:00
Section 5 - Comparing Information
Learning Objectives – Comparing Information 00:00:00
Comparing Information 00:00:00
Section 6 - Tidying Messy Data
Learning Objectives – Tidying Messy Data 00:00:00
Tidying Messy Data 00:00:00
Section 7 - Storing Multiple Things
Learning Objectives – Storing Multiple Things 00:00:00
Storing Multiple Things 00:00:00
Introducing Python Lists 00:00:00
Adding Items To A List 00:00:00
Indexing And Slicing Lists 00:00:00
Deleting Items In A List 00:00:00
Tuples 00:00:00
Long Lines In Python 00:00:00
Dictionaries 00:00:00
List Functions – More Ways To Work With Lists 00:00:00
Sets 00:00:00
Section 8 - Processing Collections
Learning Objectives – Processing Collections 00:00:00
A Simple ‘For’ Loop 00:00:00
More Complex ‘For’ Loops – ‘Break’, ‘Continue’ And ‘Else’ 00:00:00
The ‘Range’ Function – How To Create A List Of Numbers 00:00:00
The ‘While’ Loop – Do Something For A While 00:00:00
Section 9 - Robust Programs - Handling Errors
Learning Objectives – Robust Programs – Handling Errors 00:00:00
Robust Programs – Handling Errors 00:00:00
Look Before You Leap 00:00:00
The Try And Except Block 00:00:00
The Catch All Block 00:00:00
Adding Resources To Replit 00:00:00
The Finally Block 00:00:00
Section 10 - Saving The Results - Working With Files
Learning Objectives – Saving The Results – Working With Files 00:00:00
Adding Bad Data 00:00:00
Saving The Results – Working With Files 00:00:00
Binary File Modes 00:00:00
Text File Modes 00:00:00
The With Statement 00:00:00
Section 11 - Breaking Up Larger Programs, Part 1
Learning Objectives – Breaking Up Larger Programs, Part 1 00:00:00
About Replit.Config 00:00:00
Functions 00:00:00
Function Parameters 00:00:00
Local Versus Global Variables 00:00:00
Positional And Keyword Parameters 00:00:00
Return Statement 00:00:00
Working With JSON 00:00:00
Code Comments And Clear Code 00:00:00
Section 12 - Summarising And Presenting The Results
Learning Objectives – Summarising And Presenting The Results 00:00:00
Summarising And Presenting The Results Part 1 00:00:00
Cleaning The Data 00:00:00
Summarising And Presenting The Results Part 2 00:00:00
More Numeric Functions – Min, Max, Sum 00:00:00
Formatted Strings, F-Strings 00:00:00
Section 13 - Breaking Up Larger Programs, Part 2
Learning Objectives – Breaking Up Larger Programs, Part 2 00:00:00
Splitting Code Into Modules 00:00:00
Namespaces 00:00:00
Using Our Modules 00:00:00
Section 14 - Optional: Getting Set Up On PC Or Mac
Learning Objectives – Getting Set Up On A Pc Or Mac 00:00:00
Getting Set Up 00:00:00
Starting Python On Windows 10 00:00:00
Starting A Terminal Or Command Prompt On Windows 00:00:00
Installing Python On Windows 00:00:00
Installing Python On Macos 00:00:00
Quick Python Test – Running Python 00:00:00
Python Scripts And IDLE 00:00:00
Code Editors And IDES 00:00:00
Running Python Scripts 00:00:00
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