Python Essentials 2023- From Basics to OOP

Python Essentials 2023: From Basics to OOP, available at Free, has an average rating of 4.4, with 18 lectures, based on 32 reviews, and has 2225 subscribers.

You will learn about Master Pythons basic data types like integers, floats, strings, and booleans, and understand their applications. Gain proficiency in Pythons common data structures including lists, tuples, and dictionaries for effective data management. Develop skills in control structures, utilizing if/else statements, and loops for dynamic and repetitive task automation. Learn Object-Oriented Programming concepts in Python, including classes, objects, inheritance, and method resolution. This course is ideal for individuals who are This course is ideal for individuals new to programming, who are interested in learning Python from the ground up or Individuals thinking about a career in data science, web development, or automation, or just curious about coding. It is particularly useful for This course is ideal for individuals new to programming, who are interested in learning Python from the ground up or Individuals thinking about a career in data science, web development, or automation, or just curious about coding.

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Summary

Title: Python Essentials 2023: From Basics to OOP

Price: Free

Average Rating: 4.4

Number of Lectures: 18

Number of Published Lectures: 18

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Master Pythons basic data types like integers, floats, strings, and booleans, and understand their applications.

Gain proficiency in Pythons common data structures including lists, tuples, and dictionaries for effective data management.

Develop skills in control structures, utilizing if/else statements, and loops for dynamic and repetitive task automation.

Learn Object-Oriented Programming concepts in Python, including classes, objects, inheritance, and method resolution.

Who Should Attend

This course is ideal for individuals new to programming, who are interested in learning Python from the ground up

Individuals thinking about a career in data science, web development, or automation, or just curious about coding.

Target Audiences

This course is ideal for individuals new to programming, who are interested in learning Python from the ground up

Individuals thinking about a career in data science, web development, or automation, or just curious about coding.

This is a comprehensive course designed to guide learners through the intricacies of Python, from fundamental principles to advanced Object-Oriented Programming (OOP).

In Section 1 – Introduction to Python Basics, participants will immerse themselves in Python’s foundational concepts. This includes understanding various data types such as integers, floats, strings, and booleans. Learners will grasp the essentials of variables for data storage and manipulation, delve into the intricacies of strings, including methods, slicing, and formatting, and familiarize themselves with comparison operators.

Moving to Section 2 – Common Data Structures, the course explores the core data structures in Python. This segment covers lists and their properties as ordered, mutable collections; tuples as ordered, immutable collections; and dictionaries, focusing on their use in storing key-value pairs.

Section 3 – Control Structures and Logic elevates the learning curve by introducing control flow mechanisms in Python. Participants will learn to make conditional decisions using If/Else statements, master the use of for and while loops for executing repetitive tasks, and explore Pythonic ways to generate lists using map() and lambda functions.

Section 4 – Functions & Parameters, the focus shifts to modular coding through functions. This part of the course covers creating reusable code blocks, and dives into the use of args and kwargs for passing variable numbers of arguments to functions.

Section 5 – Object-Oriented Programming (OOP)introduces participants to the advanced concepts of OOP in Python. This includes understanding classes and objects, static methods, and exploring inheritance and composition for effective code reuse and organization. Learners will also unravel complexities like Method Resolution Order (MRO) and the Diamond Problem, ensuring a deep understanding of Python’s OOP intricacies.

This is a great course to improve your knowledge of python and to advance your career. If you are a beginning programmer or an established programmer that is looking to learn python, this course is perfect for you!

Course Curriculum

Chapter 1: Introduction to Python Basics

Lecture 1: Data Types in Python

Lecture 2: Variables in Python

Lecture 3: Python Strings

Lecture 4: Comparison Operators

Lecture 5: Arithmetic Operations in Python

Chapter 2: Common Data Structures in Python

Lecture 1: Python Lists

Lecture 2: Tuples

Lecture 3: Python Dictionaries

Lecture 4: Sets in Python

Chapter 3: Control Structures and Logic

Lecture 1: If-Else Statements

Lecture 2: Loops

Lecture 3: Python map() and lambda

Chapter 4: Functions in Python

Lecture 1: Functions in Python

Lecture 2: *args & **kwargs

Chapter 5: Object-Oriented Programming

Lecture 1: Classes & Objects

Lecture 2: Inheritance & Composition

Lecture 3: Static Methods

Lecture 4: MRO & The Diamond Problem

Instructors

Ingenium Academy
#1 place for math & science education online.

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 7 votes

4 stars: 15 votes

5 stars: 9 votes

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!