How We Built Our Course Curriculum

Our course has been meticulously crafted over the years, incorporating valuable insights from trials, errors, and feedback, to provide you with an unparalleled learning experience. While constantly evolving and adapting to stay current, we remain steadfast in our commitment to the fundamental principles and core beliefs that underpin our approach to teaching Python programming and preparing you for a successful career in the field.

These principles are as follows:

Doing > Watching this is why we have challenges at with every lesson
Understanding WHY we're doing is as important as the HOW we are doing it
Programing is better when it's done in the most FUN way possible
Slowly building a solid foundation is better than quickly building on quicksand

Section 1: Introduction (4 lessons)

Essential setup instructions and expert guidance for seamless course navigation. Learn how to configure your environment, do the challenges, and optimize your learning experience in this comprehensive introductory section.

Download Python
Download IntelliJ
Set up project SDK
And talk about the course

Section 2: Getting Started In Python (18 Lessons)

We lay a solid foundation for future projects, exploring essential concepts in Python and programming. By delving into the inner workings of coding, you'll gain a profound understanding of its principles and mechanics.

Our first program
Printing in Python
String and Special Characters
Creating Variables
String Data Types
Handling Data Using Various Slicing and String
and string operators

Section 3: First Steps In Python (14 Lessons)

We explore the core elements of code: blocks and statements. They are the foundation of Python and programming as a whole. Understand how code executes with parameters and different expressions, gaining a comprehensive perspective on their functionality.

Introduction to Blocks and Statements
if statements, elif statements and else
Debugging in IntelliJ
Testing Operators
Complex Expressions AND / OR
Simplified Chained Comparison
Truth Value Testing
Using "in" and "not in"

Section 4: Loops In Python (18 Lessons)

Here, many face challenges. Python loops may seem intimidating, but with your solid foundation and our exceptional explanations, you'll navigate examples with ease. Tackle each challenge for maximum knowledge extraction.

Introduction To for loops
Debugging Loops
for loops over a Range
Nested Loops
Using Break and Continue in Loops
Introduction To while loops
else Statements in loops
Random Number Generator
High-Low Project
Binary Search Algorithm

Section 5: Data Handling Using Lists and Tuples (25 Lessons)

In this section, we explore essential data handling and manipulation in Python. Leveraging its versatile libraries, we dive into fundamental structures like lists and tuples. With a solid foundation, we embrace project-based approaches to enhance our newfound knowledge.

Introduction to Sequence Types
Mutable and Immutable Objects
Iterating Over a List
The enumerate Function
Removing Items from a List
Creating and Sorting Lists
Safely Deleting Items From a List
Nested Lists
Introduction To Tuples
Unpacking a Tuple
Nested Data Structures
Deeper Into Nesting

Section 6: Functions In Python (16 Lessons)

This section signifies a milestone in your Python journey, reaching the intermediate level. Explore the transformative power of functions, breaking down code into modular components. Mastering functions is vital for efficient and dynamic coding. Approach this section with focus and patience to excel in this essential lesson.

Defining Functions in Python
Parameters and Arguments
Debugging Our Parameters
Functions Calling Functions
Returning Values and None
Handling Invalid Arguments
Default Parameter Values
Writing a Fibonacci function (mini project)
Function annotations and type hints
Star Args (*args)

Section 7: Object Oriented Python (24 Lessons)

Object-Oriented Programming (OOP) is paramount in modern applications and programs. Despite its intimidating reputation, we meticulously simplify every aspect. With 2-3 mini projects, you'll confidently transition to any language or career path seamlessly.

Object Orientated Programming and Classes
Instances, Constructors, Self and more
Class Attributes
Methods and Static Methods
Attribute Accessibility
Getters and Setters
Data Attributes and Properties
Inheritance
Subclasses and Overloading
Polymorphism
Composition

Section 8: Data Handling Using Dictionaries and Sets (23 Lessons)

Welcome back to the world of data handling. Explore powerful Python tools: dictionaries and sets. While more complex than lists and tuples, they offer unmatched data manipulation flexibility. Our step-by-step approach makes them easily comprehensible. Expand your skills and unleash new possibilities!

Introduction to Dictionaries
Iterating over a Dictionary
Adding, Changing and Removing Items to a Dictionary
Computer Building (mini project)
Creating, Updating and Values Dictionaries
Shallow and Deep Copy with Dictionaries
Introduction to Sets
Erasing, Removing and Discarding Items from a Set
Set Union, Intersection and Difference
Subsets and Supersets

Section 9: Reading and Writing Files (18 Lessons)

In the advanced stage of Python, we explore working with external files. Master file handling, whether local or streamed. Dive into various file types, sharpening your skills with ample examples and tests. Solidify your career with essential file reading and writing proficiency.

Opening, Reading and Parsing Text Files
Parsing and Using Data from a Text File
Writing Data to a Text File
JSON files 101
Streaming JSON Files Using urllib
CSV files 101
Understanding Dialect and Sniffer
Writing a CSV file
Reading with DictReader
Writing with DictWriter
How to use DictWriter without a Dictionary

Section 10: Database Implementation In Python (29 Lessons)

While mastering Python, we introduce SQL—a powerful language. Acquiring SQL skills complements your Python knowledge, empowering your journey in data analysis, science, or AI development. Our comprehensive database management approach demystifies SQL. Explore the captivating world of data manipulation.

Databases 101
SQLite 101
UPDATE, DELETE and WHERE
Database Administration
ORDER BY and JOIN our Tables
LIKE Wildcards and creating Views
Restoring Backups and Function
Database SQL in Python
Committing Changes
How To Hack (Kind of)
Placeholders and Parameter Substitution
Introduction to Exceptions
Bank Account (mini project)
Creating Netflix (sort of) (mini project)

Tamer Bandak

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