Python Coding: The Basics

Learn the basics of coding and the fundamentals of programming concepts using Python

Created byElizmay Vos

Last updated 7/2025

English

What you'll learn

Introduction to computer architecture: What is the parts of a computer and how do the Communicator.
Introduction to programming basics: types of programming code, code structure and flow direction.
The basics of Data systems: learn the basics of the commonly used data types.
Python basics: How to get startet with coding, what is a python program, parts, structures and code execution
Basic Data engineering code, Data cleanup, preparation and text file handeling.

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Course content

6 sections • 46 lectures • 8h 24m total length

Introduction9:19
Understand the development of computers to where they are today.
Computer Basics12:45
The basic structure of a computer and how different computers communicate with each other.
Python 2 or 36:08
Understand why you should know the differences between Python 2 and 3.
Explain why you should know both Python 2 and 3 basics
Data Storage1:39
Explain how a computer stores data.
Introduction to the basics before coding

Operators0:26
Operators
An operator in computer programming is a symbol or symbol that determines the action that will be performed.
There are different types of operators but in most high-level programming languages they are divided into three types:
● arithmetic operators
● relational operators
● logical operators

Arithmetic operators
These operators are used in mathematical calculations.
Arithmetic Operation Operator Example
Addition + x = x + 2
Subtraction - x = x – 2
Multiplication * x = x * 2
Division / x = x / 2
Integer division DIV x = x DIV 2
Remainder MOD x = x MOD 2

Relational Operators
These operators are used to assign values and enable comparisons between values. The comparison operators are used in condition testing. There are differences in the symbols used depending on the programming language in use.
Relational operation Operator Example
Assignment = x = 2
Equivalence = or == if x = 2 or if x == 2
Less than < if x < 2
Less than or equal to <= if x <= 2
Greater than > if x > 2
Greater than or equal to >= if x >= 2
Does not equal <> or != If x <> 2 or if x != 2

Logical Operators
Relational operators are combined by using logical operators for more complex decisions and in Boolean Algebra.
Logical operation Operator Example
And AND or && if (x > 0) AND (x < 10)
Or OR or || if (x == 0) OR (x == 1)
Not NOT or ! while NOT x
Variables, Keywords and Names1:38
What are variables and keywords?
How you name these words.
Statments2:04
Explain what a statement is.
Understand how statements combine to form a program.
Download Python7:09
How and where to download and install Python
Download Python Some Methods1:15
A text description of how to download Python from the Official Python website and Anaconda
Python Getting Started7:27
First programming in Python
Python First program4:44
First programming in Python
First Program
Basic Types in Python10:13
The basic Data Types in Python
Variables in Python12:21
The basics of using variables in Python
Use a variable
Basic Operators in Python3:27
The basic Operators used in Python
Python Recourses for this Course0:15
Basics of Programming in Python

Numeric Data Systems4:00
Identify the different numeric data systems
Perform conversions between the different numeric data systems
Data Types and Data Structures14:47
List the data types and data structures.
Describe the common data types and what they are used for.
Python Nomeric Data Types17:33
Discuss some of the Numeric Data Types in Python
Numbers in Python
Python String Data Type16:24
The string data type is used to store text in Python
String Concatenation in Python
Access a character in a String
Declare and manipulate string
Python List Data Type21:38
The list data type is an indexed list of values used in Python
List Element access in Python
Adding and Deleting list Elements
Python Dictionary Data Type13:21
The dictionary data type soter key value pares in Python
Dictionary Element access in Python
Adding and Deleting dictionary Elements
Python Tuple Data Type12:13
A tuple data type in Python is like a list but can't be changed once entered.
Python Set Data Type9:47
The set data type in Python can't be changed once entered and is not indexed
Python Date Time Data Type19:50
The datetime data type is not a built-in data type in Python. It is an imported module.
Date Time in Python
Calculations in Date Time
Pytheon Array Data Type39:45
The Array data type from the Numpy Mudule
Data Types and Data Systems

Subroutines4:31
The splitting up of code into subroutines to improve program readability and reuse of code.
Understand functions and what they do.
Conditional Statements3:04
Understand how the if statement control program flow
Loops2:48
Identify the different kinds of loops
Objects Orientated5:29
Understand object-oriented programming
Summerize classes and methods.
Python Functions 110:42
Functions in Python Part 1
Python Functions 211:46
Functions in Python Part 2
Python Functions 39:06
Functions in Python Part 3
Your first Function in Python
Send in a value into a function
Get the message from the user
Python If, Elsif and Else13:59
The If, elsif and els statements in Python.
if Statements in Python
If Else in Python
If, Elseif and Else statements
Python Error Handling10:45
Error handling in Python
Error Handling in Python
Python Loops: For Loop7:44
The For Loop as used in Python
For Loops in Python
Nested For Loops in Python
Python Loops: While Loop7:15
The While Loop as used in Python
While Loops in Python
Nested for and while loops
Python Classes Part 115:26
How classes work in Python Part 1
Python Classes Part 215:47
How classes work in Python
Classes in Python
Class inheritance
Python Dataclasses17:44
Dataclasses is a special type of class module that can be imported into Python to use for data structures.
Create a dataclass in Python
Adding extra properties toe a Dataclasse instance
Dataclass to JSON
Program Flow Control

NoteBooks3:37
Discuss what a notebook is concerning programming.
Describe the advantages, disadvantages and uses of notebooks
Jupyter Notebook Markdown21:19
Basics of Marudown Cells in Notebook
Python Working With Files16:49
Basic File Handling in Python
Introduction to Dataframes28:30
Basics of DatatFrames
Dataframes Data Cleanup23:40
Some more complicated data cleanup
DataFrames Data Analyses: Group Data14:29
Data Grouping for use in data analyses
Notebooks

Requirements

No requierments or prerequisites needed.
Wanting to learn something new
want to write simple python code inside data handeling programs, GIS and data bases.

Description

This course is specifically designed for professional data scientists, analysts, and GIS professionals determined to automate their workflows and significantly enhance their efficiency. Whether you are an experienced practitioner or just starting out with coding, this course is perfectly suited for you—no prior coding experience is required. We will begin with straightforward explanations of essential concepts and terminology, setting the stage for a deep dive into more complex topics.

In the latter portion of the course, we will immerse ourselves in Python, a powerful programming language recognised for its exceptional effectiveness in workflow automation across a multitude of software applications. While Python will take centre stage, we will also incorporate snippets from other programming languages to broaden your perspective. By mastering the fundamentals of coding, you will gain the ability to understand various programming languages, making any future learning more accessible, even if you don’t grasp every detail right away.

Python is the ideal first programming language due to its interpreted nature, allowing code to be executed line by line without a compiler. This feature makes Python approachable for beginners while also providing the potential for advanced usage, such as functions and classes, once you've built your confidence and are ready to tackle more intricate programming challenges.

Keep in mind, this course will not address software-specific procedures or functions; Python is utilised in a wide array of applications, each with its unique set of functions. Our focus will be on equipping you with the foundational coding skills necessary for success. Even if you ultimately choose not to use Python, the skills you gain here will be invaluable for your career. Join us, and take the decisive step toward mastering your professional capabilities!

Who this course is for:

Non-developer professionals who want to learn programming to improve productivity and atomize thee workflows
People who want to learn the basics of computer programming
GIS professionals who want to do more with their data.
Beginner Data Enginears

Python Coding: The Basics

What you'll learn

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Coding Exercises

Course content

Introduction4 lectures • 30min

Programming11 lectures • 51min

Data Types and Data Systems10 lectures • 2hr 49min

Program Flow Controle14 lectures • 2hr 16min

Notebooks6 lectures • 1hr 48min

Conclusion1 lecture • 10min

Requirements

Description

Who this course is for: