Ultimate Guide to Python for Beginners in 2023

Ultimate Guide to Python for Beginners in 2023, available at $19.99, with 90 lectures, and has 6 subscribers.

You will learn about Develop Python skills for creating basic programs and solving problems. Utilize Pythons data structures and manipulate data effectively. Gain hands-on experience in creating Python applications. Understand Python functions, modules, and libraries. Master file handling and exception handling in Python. Explore object-oriented programming principles using Python. Complete projects showcasing your Python programming proficiency. Establish a strong foundation for future Python courses and tech career pursuits. Learn the foundational elements required for Data Science and Machine Learning This course is ideal for individuals who are Beginner Python developers interested in Data Science or Beginner Python developers interested in Machine Learning It is particularly useful for Beginner Python developers interested in Data Science or Beginner Python developers interested in Machine Learning.

Enroll now: Ultimate Guide to Python for Beginners in 2023

Summary

Title: Ultimate Guide to Python for Beginners in 2023

Price: $19.99

Number of Lectures: 90

Number of Published Lectures: 90

Number of Curriculum Items: 90

Number of Published Curriculum Objects: 90

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Develop Python skills for creating basic programs and solving problems.

Utilize Pythons data structures and manipulate data effectively.

Gain hands-on experience in creating Python applications.

Understand Python functions, modules, and libraries.

Master file handling and exception handling in Python.

Explore object-oriented programming principles using Python.

Complete projects showcasing your Python programming proficiency.

Establish a strong foundation for future Python courses and tech career pursuits.

Learn the foundational elements required for Data Science and Machine Learning

Who Should Attend

Beginner Python developers interested in Data Science

Beginner Python developers interested in Machine Learning

Target Audiences

Beginner Python developers interested in Data Science

Beginner Python developers interested in Machine Learning

Unlock the world of programming with “Ultimate Guide to Python for Beginners in 2023,” an engaging and beginner-friendly Udemy course designed to kickstart your journey into the exciting realm of coding. Python, renowned for its simplicity and versatility, is the ideal language for beginners, making it easier than ever to understand core programming concepts.

In this comprehensive course, you’ll embark on a structured learning path that covers the fundamental building blocks of Python. You’ll discover Python’s readable and elegant syntax, making coding a breeze, even if you have no prior programming experience.

Here’s what you’ll gain from this course:

1. Python Foundations: Start from scratch and learn the basics of Python programming, including variables, data types, operators, and input/output operations.

2. Control Structures: Explore decision-making with if statements, looping with for and while loops, and get a grasp of how to write efficient and structured code.

3. Functions and Modules: Dive into the world of functions, understanding their significance in code organization and reusability. You’ll also explore Python’s rich library of modules to extend your program’s capabilities.

4. Data Structures: Master Python’s powerful data structures like lists, tuples, dictionaries, and sets to manage and manipulate data efficiently.

5. Error Handling: Learn how to handle errors gracefully with Python’s exception handling mechanism, ensuring your programs run smoothly.

6. Object-Oriented Programming (OOP): Discover the principles of OOP, a critical concept in modern programming, and apply them to solve real-world problems.

7. File Handling: Gain the skills to read from and write to files, enabling you to work with data outside the program.

8. Project Development: Put your knowledge into practice by building exciting Python projects, applying your skills to real-world scenarios.

Throughout the course, you’ll not only grasp the theoretical foundations but also put them into action through hands-on exercises and practical examples. Whether you aim to pursue a career in software development, data science, or simply want to enhance your problem-solving abilities, this course equips you with a strong Python programming foundation.

Enroll now and join the world of coding with Python. Your journey towards becoming a proficient programmer starts here!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Module 1 – Environment Setup

Lecture 1: Installing VS Code and Git

Lecture 2: Installing Miniconda

Lecture 3: Installing Jupyter Notebook and Jupyter Lab

Lecture 4: Github Repo

Chapter 3: Module 2 – Python Basics

Lecture 1: Introduction to Variables

Lecture 2: Variable Declaration, Introduction to Types, Naming Conventions

Lecture 3: Data Types – Strings

Lecture 4: Data Types – Integers

Lecture 5: Data Types – Floats

Lecture 6: Data Types – Booleans

Lecture 7: Arithmetic Operators

Lecture 8: Comparison Operators

Lecture 9: Logical Operators

Lecture 10: Basic Output

Lecture 11: Formatting Output

Lecture 12: Taking User Input

Lecture 13: Mini Projects

Chapter 4: Module 3 – Control Structures

Lecture 1: Introduction to Conditional Statements

Lecture 2: if, elif, and else Statements

Lecture 3: Combining Conditional Statements

Lecture 4: Introduction to Loops

Lecture 5: For Loop

Lecture 6: While Loop

Lecture 7: Infinite Loops

Lecture 8: Break Statement

Lecture 9: Continue Statement

Lecture 10: Pass Statement

Lecture 11: Introduction to Nested Structures

Lecture 12: Combining For and While Loops

Lecture 13: Combining Loops and Conditionals

Lecture 14: Pitfalls and Best Practices

Chapter 5: Module 4 – Data Structures

Lecture 1: Introduction to Lists

Lecture 2: Common List Operations

Lecture 3: Lists as Stacks and Queues

Lecture 4: Introduction to Tuples

Lecture 5: Tuple Operations

Lecture 6: When and Why to use Tuples

Lecture 7: Tuple Methods

Lecture 8: Introduction to Sets

Lecture 9: Set Operations

Lecture 10: Set Methods

Lecture 11: Practical Use Cases of Sets

Lecture 12: Introduction to Dictionaries

Lecture 13: Accessing Dictionary Elements

Lecture 14: Dictionary Methods

Lecture 15: Practical Use Cases for Dictionaries

Chapter 6: Module 5 – Functions and Modules

Lecture 1: Introduction to Functions

Lecture 2: Basic Syntax of Functions

Lecture 3: Arguments and Parameters

Lecture 4: Return Values

Lecture 5: Understanding Scope

Lecture 6: Local and Global Variables

Lecture 7: Best Practices for Scope

Lecture 8: Introduction to Lambda Functions

Lecture 9: Syntax and Usage of Lambda Functions

Lecture 10: Common use Cases for Lambda

Lecture 11: What are Modules?

Lecture 12: Importing Modules

Lecture 13: Common Libraries in Python

Lecture 14: Installing External Libraries

Chapter 7: Module 6 – File and Exception Handling

Lecture 1: Introduction to File Handling

Lecture 2: Reading Files

Lecture 3: Creating New Files

Lecture 4: Introduction to Writing Files

Lecture 5: Introduction to Exceptions

Lecture 6: Basic Exception Handling

Lecture 7: Multiple Exception Blocks

Lecture 8: Custom Exceptions

Lecture 9: Exceptions as Objects

Chapter 8: Module 7 – Introduction to Object-Oriented Programming

Lecture 1: Introduction to Object-Oriented Programming

Lecture 2: Real-World Analogies

Lecture 3: Using Objects

Lecture 4: Introduction to Instance and Class Variables and Methods

Lecture 5: Class Variables and Methods

Lecture 6: Instance Variables and Methods

Lecture 7: Instance and Class Variables and Methods (extended)

Lecture 8: Advanced init use Cases

Lecture 9: Base and Derived Classes

Lecture 10: Introduction to Inheritance

Lecture 11: Private Attributes and Methods

Lecture 12: Getters and Setters

Lecture 13: Method Overloading

Lecture 14: Polymorphism

Chapter 9: Capstone Projects

Lecture 1: Calculator – Overview and Design

Lecture 2: Calculator – Build

Lecture 3: Contact Book – Overview and Design

Lecture 4: Contact Book – Build

Lecture 5: Banking System – Overview and Design

Lecture 6: Banking System – Build

Instructors

Jesse Richey
AWS x4, Python Aficionado, and AI Enthusiast

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!