Hands on Introduction to Programming with Python

Name: Hands on Introduction to Programming with Python
Rating: 4.2 (29 reviews)

Learn Programming using Python, fast and confidently with many coding exercises

Created byIoannis Giftakis

Last updated 9/2023

English

English [Auto],

What you'll learn

Basic concepts of Programming
Essentials of Python programming language
Algorithmic line of thought
Making small programs in a procedural way (not OOP)

Coding Exercises

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

Course content

5 sections • 55 lectures • 1h 44m total length

What is Sequential Procedure (Simple Flow)? [Video]0:48
What is Sequential Procedure (Simple Flow)? [Text]0:19
Sequential procedure (simple flow) is manner that the Computer addresses the programmes that is assigned to execute. Is does that, by executing each line of the programme until no lines left. A line (command) cannot be bypassed (command) in Sequential Procedure.
Simple Flow Example
Where our Programs are Stored? [Video]0:54
Cpu, ram, and storage cooperate to run programs. Programs reside in ram during execution, and storage holds data for later use.
Where our Programs are Stored? [Text]0:34
Computer systems have some essential parts in order to be considered computer systems. Those are CPU, RAM Memory and Storage Memory. Those are cooperating in order to have a smooth execution.
What Variables are and Why we need them? [Video]1:35
Explore how variables have a name, type, and value, store values in memory, and how Python data types such as integer, float, string, and boolean define what you can save.
What Variables are and why we need them? [ Text]1:25
What Operators are and what are needed for? [Video]5:44
Explore what operators are in Python, their hierarchy from arithmetic to logical, how precedence applies, and see practical examples of arithmetic, integer division, remainder, comparisons, and truth tables.
What Operators are and what are needed for? [Text]2:01
In this lecture we learn about Operators Hierarchy and how their prioritisation is been applied on expressions based on this Hierarchy.
Operators
Assigning value to a variable [Video]2:39
Discover how variables store values and how the assignment operator updates hp when damage reduces lives, with examples using hp and damage; distinguish = from == in Python.
Assigning value to a variable [Text]1:19
Variable Assignments
Examples of Variable Assignments [Video]3:22
Explore variable assignments and arithmetic in Python through hands-on examples of sums, averages, and percentages, including discount calculations and printing results.
Examples of Variable Assignments [Text]1:21
Average
Percentage
Discount Percentage
Conversion of Litre to Kg
Conversion of Inches to Meters
Conversion of Minutes to Hours and Hours to Days
Calculate Gas and Price for Making a Certain Distance
What Integer Division and Remainder Operators are used for? [Video]6:22
Explore the integer division operator // and remainder operator % and their uses. Learn to extract digits, count complete sets, and handle negative values and zero division in Python.
What Integer Division and Remainder Operators are used for? [Text]1:29
Integer Division and Remainder Operators to Extract Digits
Integer Division Operator to Count Complete Sets
Getting Input from the User [Video]3:15
Learn to interact with users in Python by using the input function, prompt messages, and type casting to float for real-world tasks like converting meters to inches, then print results.
Getting Input from the User [Text]1:35
Output Result [Video]1:20
Output Result [Text]0:45
The Random Python Module [Video]2:49
Explore the random module in Python, import it, and use randint and uniform to generate integers and floats; understand how a module provides ready-to-use functions via dot notation.
The Random Python Module [Text]1:39
Calculate area of Circle

Conditionals Overview [Video]2:22
Master Python conditionals by using if, if else, if elif else, and nested blocks to create scenarios and control program flow.
Conditionals Overview [Text]1:29
Simple Conditional [Video]0:53
Learn how simple conditionals in Python work, using if statements with colon and indentation to act when a condition is met. Use the remainder operator to check even numbers.
Simple Conditional [Text]0:29
Odd Numbers
Positive Numbers Divisible by 5
Dilemma Conditional [Video]2:06
Dilemma Conditional [Text]0:42
Check if a person can vote
Exchange Euro ⇆ USD Dollar
Calculate the number of busses needed for students trip
Multiple Choice with Exclusivity Conditional [Video]3:38
Learn Python's exclusivity in if elif else chains, with logical expressions and indentation, through examples of dining choices, toll pricing, and progressive tax calculations.
Multiple Choice with Exclusivity Conditional [Text]1:23
Calculate discount depending on the total price of a shopping cart
Nested Conditional [Video]2:30
Nested Conditional [Text]0:45
Combinations of Types of Conditionals [Video]2:22
Learn to combine multiple conditionals in Python, using simple conditionals and nested blocks. See burger ingredients and a loyalty shoe discount example in an eShop to apply exclusivity.
Combinations of Types of Conditionals [Text]1:21
Calculate Max and Min of Numbers Given

Loops Overview [Video]0:46
Explore how loops make computers repeat code, using initialization, a stop condition, and loop body. Learn Python's for and while loops, including nested loops, for real-world programming.
Loops Overview [Text]0:33
For Loop - Intro (part 1) [Video]4:48
Explore python's for loop and range to print sequences from 0 to 9 and 1 to 10, generate even numbers, test divisibility by three and five, and explore negative ranges.
For Loop - Intro (part 1) [Text]2:07
Print all the odd numbers from 1 to 99
For loop - The 3 Phases (part2) [Video]1:40
For loop - The 3 Phases (part2) [Text]0:43
Sum of numbers divisible by 7 in range 1 to 100
Product of numbers in range 1 to 100
Sum of child's pocket money for a month when doubled per day
While Loop [Video]2:17
Learn how the while loop in Python handles unknown repetitions and complex conditions. Compare it with for loops, and see a donation box example that stops when total reaches 5000.
While Loop [Text]0:58
Calculate Average using Loop [Video]3:14
Learn to calculate the average in Python by using a loop to sum calories and count entries, then divide sum by count.
Calculate Average using Loop [Text]1:14
Calculate Average Weight of Babies Born in a Hospital
Percentage Calculation using Loop [Video]2:48
Calculate the percentage of positive numbers from user input using a while loop that stops at zero, tracking total and positive counts and printing positive over total times 100.
Percentage Calculation using Loop [Text]0:26
Calculate Covid-19 Percentage in a Country
Calculate Percentage of Honor's Degree Students in a School
Max - Min Calculation using Loop [Video]3:42
Find the max and min by iteratively comparing each input with the current extreme and updating it using a while loop and if condition.
Max - Min Calculation using Loop [Text]1:34
Calculate Maximum Grade in a University Examination
Calculate Minimum Temperature in a Town During Winter
Calculate Maximum Javelin Throw in Olympic Games
Calculate Loan (Mortgage) Payments
Gas Station
Nested Loops [Video]4:32
Explore nested loops in Python, from double to triple loops. Learn how inner loops multiply work, raise algorithmic complexity, and affect runtime and resources.
Nested Loops [Text]1:31
Calculate repetitions of a Four-Nested Loop
Crack a Password
Most repetition times of Triple-Nested Loop?

Data Structures Overview0:20
Lists - Intro (part 1)4:54
Print the 5th Element of an Animal List
Make a Random Football Match from a List of Teams
Pick Three (3) Unique Volunteers From a Student Classroom
Calculate the Difference Between Maximum and Minimum Values in a List
Remove the 3rd Item from a List
Sorting Two Lists one in Ascending and the other in Descending Order
Concatenate Three Lists
Lists - In More Depth (part2)1:09
Calculate the Sum of Even Numbers in a List
Calculate the Average value of the Second Half Part of a List
Calculate the Percentage of Occurrences of the Name "John" in List
Sets0:13
Dictionaries1:37

Requirements

No programming experience needed. You will learn everything on this course.

Description

This course aims to get you up and running fast and confidently on your journey to learn Python Programming. Trying to avoid bloat and fluff without reason.
It uses a hands on approach with many coding exercises along each lecture with just the right amount of theory needed to proceed. Coding exercises is a feature that Udemy offers and makes programming oriented courses much more fun and effective.
People that want to learn Python Programming or Programming Fundamentals fast and confidently will benefit greatly from this course. More specifically Teachers, Educators, High School Students, Undergraduate students will find it very helpful for their needs.
Simple english language is been used in order to not have much cognitive "weight" and not get you bored or tired.
Although Python Programming language is been used throughout of this course, all the algorithmic concepts that you will learn can be applied to other programming languages as well.
After the completion of this course you can consider yourself an Advanced Beginner Python Programmer and you can proceed on Intermediate Python courses in order to hone your skills.
A few humor lines are been thrown here and there, just for making things friendlier and funnier while teaching a technical course.

Who this course is for:

For students that prefer the hands-on way using coding exercises
For undergraduate students that need to get up and running fast with Python for their university course
For CS Teachers and Educators that want to make their own courses
For high school students that want to learn the hands-on way
For enthusiasts that want to learn Programming with Python fast and confidently

Hands on Introduction to Programming with Python

What you'll learn

Explore related topics

Coding Exercises

Course content

Sequential Procedure (Simple Flow)20 lectures • 41min

Conditional Procedure (Flow under Conditions)12 lectures • 20min

Repeating Procedure (Loops in the Flow)16 lectures • 33min

Data Structures (Groups of variables)5 lectures • 8min

Functions2 lectures • 2min

Requirements

Description

Who this course is for: