Python For Absolute Beginners 2023: Beginner To Advanced

Learn the fundamental concepts of Python through video lectures, reading code, building projects, and taking quizzes.

What you'll 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.

Requirements

No prior programming experience is necessary.

Access to a computer with an internet connection.

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 ProgrammingVariables and Data TypesLists, Tuples, Sets, and DictionariesControl Flow: Conditionals and LoopsFunctions and Modular ProgrammingGenerator FunctionsLambda FunctionsScope, Syntax, and Common ConventionsFile Handling and Input/OutputIntroduction to Object-Oriented Programming (OOP)Exception HandlingWorking with Modules and LibrariesCommon Pitfalls for New DevelopersAnd 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!

Overview

Section 1: Welcome To The Course!

Lecture 1 Course Outline

Section 2: Python Development Environment Setup

Lecture 2 Windows: Install Python 3

Lecture 3 Windows: Install Visual Studio Code

Lecture 4 Linux: Install Python and Visual Studio Code

Lecture 5 No install Python Development Option

Section 3: Basics: Variables, Input, Output, and Syntax

Lecture 6 The print() Function

Lecture 7 Python Variables

Lecture 8 The input() Function

Lecture 9 Python Syntax

Lecture 10 Python Comments

Lecture 11 Challenge 1: Input

Lecture 12 Input Challenge Solution

Section 4: Data Types: Numeric Values

Lecture 13 Python's Built-In Data Types

Lecture 14 Integers and Built-In Functions

Lecture 15 Floating Point Numbers

Lecture 16 Arithmetic Operators

Lecture 17 Arithmetic Operator Challenge

Lecture 18 Arithmetic Operator Challenge Solution

Lecture 19 Assignment Operators

Lecture 20 Assignment Operator Challenge

Lecture 21 Assignment Operator Challenge Solution

Section 5: Data Types: Strings

Lecture 22 Strings: Introduction

Lecture 23 Strings: Operators, Multi-line, and the len() function

Lecture 24 Strings: Indexing and Slicing

Lecture 25 Strings: Library Documentation and Built-In Methods

Lecture 26 Strings: More Methods and Documentation

Lecture 27 Strings: Even More Methods And Method Chaining!

Lecture 28 Strings: Escape Characters

Lecture 29 Strings: Formatting

Lecture 30 Mad Lib Challenge

Lecture 31 Mad Lib Challenge Solution

Lecture 32 Casting: Converting Data Types

Section 6: Data Types: Lists

Lecture 33 Lists: Introduction, Creation, and Adding Elements

Lecture 34 Lists: Slicing, Indexing, and Removing Elements

Lecture 35 Lists: Changing the Order of Elements

Lecture 36 Lists: Multiple Dimensions

Lecture 37 Lists: List Comprehension

Lecture 38 Lists Challenge

Lecture 39 Lists Challenge Solution

Section 7: Data Types: Tuples

Lecture 40 Tuples: Introduction

Lecture 41 Tuples: Methods, Operations, and Packing

Lecture 42 Tuples Challenge

Lecture 43 Tuples Challenge Solution

Section 8: Data Types: Sets

Lecture 44 Sets: Introduction

Lecture 45 Sets: Adding and Removing Elements

Lecture 46 Sets: Set Methods

Lecture 47 Set Challenge

Lecture 48 Set Challenge Solution

Section 9: Data Types: Dictionaries

Lecture 49 Dictionaries: Introduction

Lecture 50 Dictionaries: Retrieve and Update Values

Lecture 51 Dictionaries: Remove Elements

Lecture 52 Dictionaries: More Methods and Comprehension

Section 10: Control Flow: Decision Making

Lecture 53 Booleans: Introduction

Lecture 54 Booleans: Comparison Operators

Lecture 55 Booleans: Logical Operators

Lecture 56 Booleans: Is and In Operators

Lecture 57 Booleans: Truthy and Falsy Values

Lecture 58 Conditionals: Introduction

Lecture 59 Conditionals: Nesting and Ternary Operations

Section 11: Control Flow: Loops

Lecture 60 Range Data Type

Lecture 61 Loops: Introduction

Lecture 62 Loops: While

Lecture 63 Loops: For

Lecture 64 Guess the Number Challenge

Lecture 65 Guess the Number Challenge Solution

Section 12: Functions: Executing Code Blocks

Lecture 66 Functions: Introduction

Lecture 67 Pass Keyword

Lecture 68 Functions: Keyword Arguments, Optional Parameters, and Multiple Returns

Lecture 69 Functions: Type Hinting and Docstrings

Lecture 70 Functions: Packing Return Values and Unpacking Arguments

Lecture 71 Functions: Args Syntax

Lecture 72 Functions: Kwargs Syntax

Lecture 73 Functions: Generators

Lecture 74 Functions: Lambda

Lecture 75 Calculator Challenge

Lecture 76 Calculator Challenge Solution

Section 13: Scope: Where's My Variable?

Lecture 77 Scope: Introduction

Lecture 78 Scope: Examples

Section 14: Modules: Reusable Code

Lecture 79 Modules: Introduction

Lecture 80 Modules: Built-In and Custom Modules and __name__

Lecture 81 Modules: Third-Party

Section 15: Files Fundamentals: Working With Data

Lecture 82 Error Handling: Introduction

Lecture 83 Files: Introduction

Lecture 84 Files: Reading Data

Lecture 85 Files: Reading and Writing to Comma Separated Value Files

Lecture 86 ToDo List Challenge

Lecture 87 ToDo List Challenge Solution

Section 16: Classes: Creating and Using Objects

Lecture 88 Classes: Introduction

Lecture 89 Classes: Creating Classes and Working With Their Attributes

Lecture 90 Classes: Class and Static Methods

Lecture 91 Classes: Magic Methods

Lecture 92 Classes: Inheritance

Lecture 93 Error Handling: Raising Errors and Creating Custom Errors

Lecture 94 Classes: Polymorphism

Lecture 95 Card Game Challenge

Lecture 96 Card Game Challenge Solution

Section 17: Good Stuff To Know: Random Gems

Lecture 97 Naming Conventions

Lecture 98 Mutable Objects: Shallow and Deep Copies

Lecture 99 Common Pitfalls

Beginners that have never programmed before.,Programmers that want to learn Python.,Anyone that has an interest in Python or programming in general.