Ultimate Guide to Python for Beginners in 2023

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Jesse Richey

14:26:22

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1. Introduction

1. Introduction.mp4

01:27

2. Module 1 - Environment Setup

1. Installing VS Code and Git.mp4

15:20

2. Installing Miniconda.mp4

08:41

3. Installing Jupyter Notebook and Jupyter Lab.mp4

15:24

3. Module 2 - Python Basics

1. Introduction to Variables.mp4

11:48

2. Variable Declaration, Introduction to Types, Naming Conventions.mp4

26:21

3. Data Types - Strings.mp4

14:52

4. Data Types - Integers.mp4

07:48

5. Data Types - Floats.mp4

05:57

6. Data Types - Booleans.mp4

07:23

7. Arithmetic Operators.mp4

06:50

8. Comparison Operators.mp4

08:29

9. Logical Operators.mp4

06:46

10. Basic Output.mp4

10:43

11. Formatting Output.mp4

08:34

12. Taking User Input.mp4

07:59

13. Mini Projects.mp4

08:55

4. Module 3 - Control Structures

1. Introduction to Conditional Statements.mp4

08:02

2. if, elif, and else Statements.mp4

06:21

3. Combining Conditional Statements.mp4

08:07

4. Introduction to Loops.mp4

11:08

5. For Loop.mp4

10:39

6. While Loop.mp4

09:15

7. Infinite Loops.mp4

06:07

8. Break Statement.mp4

04:34

9. Continue Statement.mp4

07:01

10. Pass Statement.mp4

08:31

11. Introduction to Nested Structures.mp4

07:51

12. Combining For and While Loops.mp4

06:50

13. Combining Loops and Conditionals.mp4

14:17

14. Pitfalls and Best Practices.mp4

17:41

5. Module 4 - Data Structures

1. Introduction to Lists.mp4

06:15

2. Common List Operations.mp4

15:18

3. Lists as Stacks and Queues.mp4

20:18

4. Introduction to Tuples.mp4

05:08

5. Tuple Operations.mp4

09:25

6. When and Why to use Tuples.mp4

08:25

7. Tuple Methods.mp4

02:33

8. Introduction to Sets.mp4

07:06

9. Set Operations.mp4

06:33

10. Set Methods.mp4

08:30

11. Practical Use Cases of Sets.mp4

08:30

12. Introduction to Dictionaries.mp4

10:57

13. Accessing Dictionary Elements.mp4

08:55

14. Dictionary Methods.mp4

08:10

15. Practical Use Cases for Dictionaries.mp4

11:24

6. Module 5 - Functions and Modules

1. Introduction to Functions.mp4

07:40

2. Basic Syntax of Functions.mp4

05:08

3. Arguments and Parameters.mp4

15:09

4. Return Values.mp4

08:02

5. Understanding Scope.mp4

14:07

6. Local and Global Variables.mp4

05:44

7. Best Practices for Scope.mp4

07:54

8. Introduction to Lambda Functions.mp4

12:28

9. Syntax and Usage of Lambda Functions.mp4

07:51

10. Common use Cases for Lambda.mp4

06:14

11. What are Modules.mp4

15:09

12. Importing Modules.mp4

06:44

13. Common Libraries in Python.mp4

08:59

14. Installing External Libraries.mp4

07:59

7. Module 6 - File and Exception Handling

1. Introduction to File Handling.mp4

05:11

2. Reading Files.mp4

06:23

3. Creating New Files.mp4

08:16

4. Introduction to Writing Files.mp4

07:22

5. Introduction to Exceptions.mp4

04:32

6. Basic Exception Handling.mp4

04:31

7. Multiple Exception Blocks.mp4

09:40

8. Custom Exceptions.mp4

11:47

9. Exceptions as Objects.mp4

08:58

8. Module 7 - Introduction to Object-Oriented Programming

1. Introduction to Object-Oriented Programming.mp4

05:18

2. Real-World Analogies.mp4

10:40

3. Using Objects.mp4

15:59

4. Introduction to Instance and Class Variables and Methods.mp4

07:59

5. Class Variables and Methods.mp4

13:02

6. Instance Variables and Methods.mp4

04:37

7. Instance and Class Variables and Methods (extended).mp4

04:29

8. Advanced init use Cases.mp4

15:46

9. Base and Derived Classes.mp4

08:27

10. Introduction to Inheritance.mp4

06:44

11. Private Attributes and Methods.mp4

12:37

12. Getters and Setters.mp4

12:37

13. Method Overloading.mp4

07:27

14. Polymorphism.mp4

07:28

9. Capstone Projects

1. Calculator - Overview and Design.mp4

07:14

2. Calculator - Build.mp4

13:41

3. Contact Book - Overview and Design.mp4

09:41

4. Contact Book - Build.mp4

26:26

5. Banking System - Overview and Design.mp4

11:21

6. Banking System - Build.mp4

31:53

Description

Begin your journey towards understanding Data Science and Machine Learning with Python!

What You'll Learn?

Develop Python skills for creating basic programs and solving problems.
Utilize Python's 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 is this for?

Beginner Python developers interested in Data Science

Beginner Python developers interested in Machine Learning

What You Need to Know?

No programming experience needed

More details

Description
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:
Python Foundations: Start from scratch and learn the basics of Python programming, including variables, data types, operators, and input/output operations.
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.
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.
Data Structures: Master Python's powerful data structures like lists, tuples, dictionaries, and sets to manage and manipulate data efficiently.
Error Handling: Learn how to handle errors gracefully with Python's exception handling mechanism, ensuring your programs run smoothly.
Object-Oriented Programming (OOP): Discover the principles of OOP, a critical concept in modern programming, and apply them to solve real-world problems.
File Handling: Gain the skills to read from and write to files, enabling you to work with data outside the program.
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!
Who this course is for:
Beginner Python developers interested in Data Science
Beginner Python developers interested in Machine Learning

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About Me:I am Jesse Richey, a solutions architect, consultant, technical product manager and software developer with over 11 years of experience. My expertise spans creating and implementing intricate systems, strategic planning, software architecture, and AI. I excel in aligning roadmaps with organizational visions, executing projects using Agile methodologies, and contributing to corporate strategy, financial planning, product marketing, and value creation.My work history includes Amazon Web Services where I developed and managed machine learning systems. My certifications include IBM Data Science Professional, TensorFlow Developer Certification, AWS Certified Machine Learning - Specialty, AWS Certified Developer - Associate, AWS Certified Solutions Architect - Associate, AWS Certified Cloud Practitioner, Project Management Professional (PMI-PMP), and Professional Scrum Product Owner I.

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