Hands-On Python 3 for Programmers with Timelines in Mind

Hands-On Python 3 for Programmers with Timelines in Mind, available at $19.99, has an average rating of 4.35, with 57 lectures, 14 quizzes, based on 55 reviews, and has 8038 subscribers.

You will learn about Learners Will Learn to Code Effectively in Python Basic Concepts of Python Programming Decision Making, Looping Constructs, Functions Pythonic Data Structures and Pythonic Way of Writing Code This course is ideal for individuals who are Beginners with Timelines in Mind or Programming Beginners Looking to Learn Python or Programmers With Knowledge of Other Programming Languages Seeking to Learn Python or Developers Planning a Career Move to Data Science, AI or Generative AI It is particularly useful for Beginners with Timelines in Mind or Programming Beginners Looking to Learn Python or Programmers With Knowledge of Other Programming Languages Seeking to Learn Python or Developers Planning a Career Move to Data Science, AI or Generative AI.

Enroll now: Hands-On Python 3 for Programmers with Timelines in Mind

Summary

Title: Hands-On Python 3 for Programmers with Timelines in Mind

Price: $19.99

Average Rating: 4.35

Number of Lectures: 57

Number of Quizzes: 14

Number of Published Lectures: 57

Number of Published Quizzes: 14

Number of Curriculum Items: 71

Number of Published Curriculum Objects: 71

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Learners Will Learn to Code Effectively in Python

Basic Concepts of Python Programming

Decision Making, Looping Constructs, Functions

Pythonic Data Structures and Pythonic Way of Writing Code

Who Should Attend

Beginners with Timelines in Mind

Programming Beginners Looking to Learn Python

Programmers With Knowledge of Other Programming Languages Seeking to Learn Python

Developers Planning a Career Move to Data Science, AI or Generative AI

Target Audiences

Beginners with Timelines in Mind

Programming Beginners Looking to Learn Python

Programmers With Knowledge of Other Programming Languages Seeking to Learn Python

Developers Planning a Career Move to Data Science, AI or Generative AI

Welcome to “Python 3 for Beginners | Step by Step Course” – your launchpad to the world of programming using Python 3! Whether you’re a complete beginner or looking to refresh your skills, this comprehensive course is designed to guide you through the essentials of Python, one of the most popular and versatile programming languages today.

What You’ll Learn:

1. Python Basics: Dive into the foundational concepts of Python, from setting up your development environment to writing and executing your first Python script.

2. Data Structures: Explore Python’s built-in data types, lists, dictionaries, tuples, and sets, and understand when and how to use them.

3. Flow Control: Master the art of controlling your code’s execution with loops, conditions, and exception handling.

4. Functions & Modules: Learn to write reusable code using functions,

5. Object-Oriented Programming (OOP): Grasp the principles of OOP in Python, and understand classes, objects, inheritance, and more.

Who This Course Is For:

Absolute beginners with no prior experience in programming.

Individuals who know other programming languages but are new to Python.

Anyone looking to solidify their foundational knowledge in Python 3.

Course Features:

6 hours of on-demand video lectures.

Interactive quizzes and coding challenges.

Downloadable resources and cheat sheets.

Certificate of completion.

Supportive community and Q&A sections for course-related help.

By the end of this course, you’ll have a solid grasp of Python 3, and you’ll be ready to tackle more advanced topics or even start your own projects. Begin your Python journey with confidence and clarity.

Enroll today!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: How to work through this course?

Chapter 2: Run Python Online

Lecture 1: Run python with online IDEs

Chapter 3: Executing Python Code

Lecture 1: Introduction to the Interpreter

Lecture 2: Executing a Script or Python Code File

Lecture 3: Installing Python 3rd Party Packages

Chapter 4: Basic Understanding of Git and Github

Lecture 1: Git and Github

Lecture 2: Setup Git Repository for Course

Chapter 5: Basic Data Types

Lecture 1: variables and variable assignment revisited

Lecture 2: Simple DataTypes in Python

Lecture 3: TypeCasting

Lecture 4: Reading User Input in Python

Lecture 5: Operations on Strings

Lecture 6: Datetime

Chapter 6: Small But Relevant Topics

Lecture 1: Line Joining ( Implicit, Explicit ) in Python Code

Lecture 2: Comments in Python

Lecture 3: Reserved Keywords in Python

Lecture 4: Built-ins in Python

Chapter 7: Control Flow

Lecture 1: Program components and indentation

Lecture 2: Simple-If

Lecture 3: If-Else

Lecture 4: If-Elif-Else

Lecture 5: Multiple-Elif-Conditions

Lecture 6: Nested-If-Else Conditions

Lecture 7: Logical. Operators

Lecture 8: While Loops in Python

Lecture 9: Continue and Break Statement

Lecture 10: While Else

Lecture 11: Exercise :: Number Guessing Game

Lecture 12: For Loops in Python

Lecture 13: for else

Chapter 8: functions in Python

Lecture 1: Function Syntax

Lecture 2: Functions | Examples

Lecture 3: Empty Function with Pass

Lecture 4: Commonly Used Built-in Functions

Lecture 5: Functions as First Class Citizens

Chapter 9: Built in Data Containers

Lecture 1: Lists

Lecture 2: List Comprehensions

Lecture 3: Operations on Lists

Lecture 4: List Methods

Chapter 10: Built in Data Containers Dictionaries

Lecture 1: Dictionaries

Lecture 2: Dictionary comprehensions

Lecture 3: Dictionary Operations

Lecture 4: Dictionary Methods

Chapter 11: Tuples

Lecture 1: Tuples

Lecture 2: Tuple Operations

Lecture 3: Tuple Methods

Chapter 12: Sets

Lecture 1: Sets Introduction

Lecture 2: Operations on Sets

Chapter 13: TypeCasting on Data Containers

Lecture 1: Brief about Enumerate Function

Lecture 2: Type Casting Pythonic Data Containers

Lecture 3: lambda functions

Chapter 14: Introduction to Object Oriented Programming

Lecture 1: Classes as Blueprints

Lecture 2: Creating Objects

Lecture 3: Private Members

Lecture 4: Inheritance

Chapter 15: Thank You & Next Steps

Lecture 1: Thank You and Next Steps

Instructors

Rishabh IO
Full stack technologist

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 7 votes

4 stars: 16 votes

5 stars: 31 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!