Learn the fundamental concepts of Python through video lectures, reading code, building projects, and taking quizzes.
What you will learn
Master Fundamentals: Build a rock-solid foundation in Python, even if you’re a complete beginner.
Code Confidence: Develop the skills and confidence to tackle real-world coding challenges.
Variable Mastery: Grasp the concept of variables and their role in storing and manipulating data.
Arithmetic Artistry: Learn the basics of arithmetic operations and their use in Python calculations.
String Sorcery: Manipulate and format text using string operations and formatting techniques.
Collection Chronicles: Master lists, dictionaries (key-value pairs), tuples (immutability), and sets (uniqueness) for robust data handling.
Logical Thinking: Master conditionals and logical operators to make decisions in your code.
Flow Control: Gain confidence in loops (for and while) to control program execution.
Function Fundamentals: Understand functions, how to create them, and why they’re essential for efficient code.
Lambda Learning: Explore lambda functions for concise and on-the-fly function definitions.
Generator Greatness: Dive into generators to create memory-efficient and dynamic data streams.
File Handling: Learn how to read from and write to files, a crucial skill for data manipulation.
Handling Hiccups: Learn error handling techniques to gracefully manage unexpected situations.
OOP Demystified: Exploring the Essence of Object-Oriented Programming, Inheritance, and Polymorphism for modular and reusable code.
Interactive Learning: Engage in coding exercises that reinforce the concepts you learn.
Description
Are you eager to dive into the world of programming? Do you aspire to become a proficient Python programmer, unlocking a world of opportunities and career prospects? Look no further! Welcome to “Python for Absolute Beginners 2023: Beginner to Advanced” a transformative Udemy course designed to empower you with the foundational knowledge and skills needed to excel in the world of Python programming.
In this comprehensive and engaging Python programming course, we take you on a journey from a programming novice to a confident developer. Whether you’re a complete beginner or have some programming experience, this course is your perfect starting point. With a combination of in-depth video lectures and hands-on coding exercises, you’ll not only grasp the essential concepts of Python but also gain the practical skills to apply them effectively.
What You’ll Gain:
- Solid Foundations: We start from scratch, ensuring you understand fundamental programming concepts and how Python fits into the coding landscape.
- Practical Experience: Dive into real-world coding with our carefully crafted Python exercises. You’ll be writing code from the very beginning, reinforcing your learning through hands-on practice.
- Comprehensive Curriculum: From variables and data types to loops, functions, and object-oriented programming, we cover it all. You’ll build a strong understanding of Python’s syntax and capabilities.
- Code Explanation: Our easy-to-follow code files come with detailed explanations, helping you decipher the “how” and “why” behind each line of code.
- Problem-Solving Skills: Programming is about more than writing code – it’s about solving problems. Our course hones your problem-solving abilities, a crucial skill for any programmer.
- Career Opportunities: With the demand for Python programmers on the rise, completing this course opens doors to entry-level programming positions and sets the stage for further advanced learning.
- Confidence and Creativity: Armed with a solid foundation in Python, you’ll have the confidence to explore your creative coding ideas and turn them into reality.
Concepts Covered:
- Introduction to Python and Programming
- Variables and Data Types
- Lists, Tuples, Sets, and Dictionaries
- Control Flow: Conditionals and Loops
- Functions and Modular Programming
- Generator Functions
- Lambda Functions
- Scope, Syntax, and Common Conventions
- File Handling and Input/Output
- Introduction to Object-Oriented Programming (OOP)
- Exception Handling
- Working with Modules and Libraries
- Common Pitfalls for New Developers
- And much more!
Don’t miss this opportunity to embark on your programming journey with a course that’s not just about learning Python syntax but about becoming a capable problem solver and innovative thinker. Enroll now in “Python for Absolute Beginners 2023: Beginner to Advanced” and take your first step towards a rewarding programming career!
English
language
Content
Welcome To The Course!
Course Outline
Python Development Environment Setup
Windows: Install Python 3
Windows: Install Visual Studio Code
Linux: Install Python and Visual Studio Code
No install Python Development Option
Basics: Variables, Input, Output, and Syntax
The print() Function
Python Variables
Variables
The input() Function
Python Syntax
Python Comments
Challenge 1: Input
Input Challenge Solution
Data Types: Numeric Values
Python’s Built-In Data Types
Data Types
Integers and Built-In Functions
Floating Point Numbers
Numeric Data Types
Arithmetic Operators
Arithmetic Operator Challenge
Arithmetic Operator Challenge Solution
Assignment Operators
Assignment Operator Challenge
Assignment Operator Challenge Solution
Data Types: Strings
Strings: Introduction
Strings: Operators, Multi-line, and the len() function
Strings: Indexing and Slicing
Strings: Library Documentation and Built-In Methods
Strings: More Methods and Documentation
Strings: Even More Methods And Method Chaining!
Strings: Escape Characters
Strings: Formatting
Strings
Mad Lib Challenge
Mad Lib Challenge Solution
Casting: Converting Data Types
Casting
Data Types: Lists
Lists: Introduction, Creation, and Adding Elements
Lists: Slicing, Indexing, and Removing Elements
Lists: Changing the Order of Elements
Lists: Multiple Dimensions
Lists: List Comprehension
Lists
Lists Challenge
Lists Challenge Solution
Data Types: Tuples
Tuples: Introduction
Tuples: Methods, Operations, and Packing
Tuples
Tuples Challenge
Tuples Challenge Solution
Data Types: Sets
Sets: Introduction
Sets: Adding and Removing Elements
Sets: Set Methods
Sets
Set Challenge
Set Challenge Solution
Data Types: Dictionaries
Dictionaries: Introduction
Dictionaries: Retrieve and Update Values
Dictionaries: Remove Elements
Dictionaries: More Methods and Comprehension
Dictionaries
Control Flow: Decision Making
Booleans: Introduction
Booleans: Comparison Operators
Booleans: Logical Operators
Booleans: Is and In Operators
Booleans: Truthy and Falsy Values
Conditionals: Introduction
Conditionals: Nesting and Ternary Operations
Booleans and Conditionals
Control Flow: Loops
Range Data Type
Loops: Introduction
Loops: While
Loops: For
Loops
Guess the Number Challenge
Guess the Number Challenge Solution
Functions: Executing Code Blocks
Functions: Introduction
Pass Keyword
Functions: Keyword Arguments, Optional Parameters, and Multiple Returns
Functions: Type Hinting and Docstrings
Functions: Packing Return Values and Unpacking Arguments
Functions: Args Syntax
Functions: Kwargs Syntax
Functions
Functions: Generators
Generator Functions
Functions: Lambda
Lambda Functions
Calculator Challenge
Calculator Challenge Solution
Scope: Where’s My Variable?
Scope: Introduction
Scope: Examples
Scope
Modules: Reusable Code
Modules: Introduction
Modules: Built-In and Custom Modules and __name__
Modules: Third-Party
Modules
Files Fundamentals: Working With Data
Error Handling: Introduction
Files: Introduction
Files: Reading Data
Files: General Knowledge
Files: Reading and Writing to Comma Separated Value Files
Files: CSV
ToDo List Challenge
ToDo List Challenge Solution
Classes: Creating and Using Objects
Classes: Introduction
Classes: Creating Classes and Working With Their Attributes
Classes: Class and Static Methods
Classes: Magic Methods
Classes: Inheritance
Error Handling: Raising Errors and Creating Custom Errors
Error Handling
Classes: Polymorphism
Classes
Card Game Challenge
Card Game Challenge Solution
Good Stuff To Know: Random Gems
Naming Conventions
Mutable Objects: Shallow and Deep Copies
Common Pitfalls