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Pure Python Programming: Rapid Learning for Quick Results

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Pure Python Programming: Rapid Learning for Quick Results, available at $19.99, has an average rating of 5, with 137 lectures, based on 3 reviews, and has 28 subscribers.

You will learn about After completing the course, learners will have mastered Python's fundamental concepts, syntax, and data structures Learners will have the opportunity to apply Python fundamentals effectively by engaging in practical scenarios and real-life examples Throughout the course, students will actively participate in a diverse range of exercises, enabling and promoting the reinforcement of their learning Building a To-Do List Application: Learners will create a functional to-do list application using Python Acquire a solid foundation in Python programming, allowing for further specialization and growth in their chosen field Students will learn how to implement a task management system using important concepts: objects, data structures, exception handling, save data permanently… Students will learn about classes and objects, exception handling, and best practices employed by experienced Python developers in their everyday work This course is ideal for individuals who are People who have no idea about programming and have never written a single line of code before or People who had difficulties in learning Python in the past and now have the motivation to try again or And people who already know programming and now need to learn Python It is particularly useful for People who have no idea about programming and have never written a single line of code before or People who had difficulties in learning Python in the past and now have the motivation to try again or And people who already know programming and now need to learn Python.

Enroll now: Pure Python Programming: Rapid Learning for Quick Results

Summary

Title: Pure Python Programming: Rapid Learning for Quick Results

Price: $19.99

Average Rating: 5

Number of Lectures: 137

Number of Published Lectures: 137

Number of Curriculum Items: 137

Number of Published Curriculum Objects: 137

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • After completing the course, learners will have mastered Python's fundamental concepts, syntax, and data structures
  • Learners will have the opportunity to apply Python fundamentals effectively by engaging in practical scenarios and real-life examples
  • Throughout the course, students will actively participate in a diverse range of exercises, enabling and promoting the reinforcement of their learning
  • Building a To-Do List Application: Learners will create a functional to-do list application using Python
  • Acquire a solid foundation in Python programming, allowing for further specialization and growth in their chosen field
  • Students will learn how to implement a task management system using important concepts: objects, data structures, exception handling, save data permanently…
  • Students will learn about classes and objects, exception handling, and best practices employed by experienced Python developers in their everyday work

Who Should Attend

  • People who have no idea about programming and have never written a single line of code before
  • People who had difficulties in learning Python in the past and now have the motivation to try again
  • And people who already know programming and now need to learn Python

Target Audiences

  • People who have no idea about programming and have never written a single line of code before
  • People who had difficulties in learning Python in the past and now have the motivation to try again
  • And people who already know programming and now need to learn Python

This Python programming course stands out as the optimal choice for learners of all backgrounds, providing a targeted focus on mastering Python syntax through real-world examples and scenarios. With a wealth of interactive exercises, students actively participate in their learning journey, reinforcing their understanding and skills.

What sets this Python course apart is its emphasis on specialization. Rather than attempting to cover all domains in Python programming, such as web development, AI, ML, and data science, it encourages students to select one or two fields aligned with their interests and aspirations. By doing so, students avoid wasting time and energy on learning aspects that may never be utilized in their chosen domain.

By concentrating on a specific field, students can delve deep into the intricacies of their chosen area, gaining profound expertise and proficiency. This focused approach ensures that the knowledge acquired is directly applicable to real-world projectsand scenarios, enhancing their chances of success in their preferred field.

Make a wise decision and choose the path of specialization with this course. Avoid the pitfalls of attempting to cover too much ground and instead invest your time and effort in mastering the domain that aligns with your goals. Your journey towards Python programming excellence starts here.

And finally, we start everything from scratch. So students can start learning without any prior Python programming experience. All the beginnerscan benefit from this Python course.

Course Curriculum

Chapter 1: Essential Tools

Lecture 1: Check Yourself Before Starting!

Lecture 2: Intro

Lecture 3: Creating a New Python Project in replit.com

Chapter 2: Variables and Basic Python Concepts

Lecture 1: Intro

Lecture 2: What is Python

Lecture 3: Console Magic: Unleashing the Power of Python's Print Function

Lecture 4: Python Primer: Essential Exercises for Beginners

Lecture 5: Single Quotes vs Double Quotes

Lecture 6: Variables in Python

Lecture 7: Python Primer: Essential Exercises for Beginners

Lecture 8: Variable Naming Conventions

Lecture 9: Python Primer: Essential Exercises for Beginners

Lecture 10: Input Function

Lecture 11: Python Primer: Essential Exercises for Beginners

Lecture 12: Common Errors in Python

Chapter 3: Data Types

Lecture 1: Intro

Lecture 2: Int and Str Data Types

Lecture 3: Python Fundamentals: Building Blocks for Beginners

Lecture 4: Float and Boolean Data Types

Lecture 5: Python Fundamentals: Building Blocks for Beginners

Lecture 6: String Bulti-In Functions

Lecture 7: Python Fundamentals: Building Blocks for Beginners

Lecture 8: Numerical Built-In Functions

Lecture 9: Type Casting

Lecture 10: Python Fundamentals: Building Blocks for Beginners

Chapter 4: Operators in Python

Lecture 1: Intro

Lecture 2: The Assignment Operators

Lecture 3: The Arithmetic Operators

Lecture 4: Python Workout: Strengthen Your Coding Muscles with Exercises!

Lecture 5: Operator Precedence

Lecture 6: Python Workout: Strengthen Your Coding Muscles with Exercises!

Lecture 7: Comparison Operators

Lecture 8: Python Workout: Strengthen Your Coding Muscles with Exercises!

Lecture 9: Boolean Operators

Lecture 10: Python Workout: Strengthen Your Coding Muscles with Exercises!

Chapter 5: Control Flow in Python

Lecture 1: Intro

Lecture 2: The if Statement

Lecture 3: Hold the Result Of a Condition Into a Variable

Lecture 4: if Body with Multiple Lines

Lecture 5: The else Part

Lecture 6: Python Power-Up: Supercharge Your Skills with Engaging Exercises!

Lecture 7: Multiple Conditions

Lecture 8: Python Power-Up: Supercharge Your Skills with Engaging Exercises!

Lecture 9: Nested if

Lecture 10: Python Power-Up: Supercharge Your Skills with Engaging Exercises!

Lecture 11: Combining Conditions with Boolean Operators

Lecture 12: Python Power-Up: Supercharge Your Skills with Engaging Exercises!

Chapter 6: Writing Your Own Functions

Lecture 1: Intro

Lecture 2: Writing Your First Python Function

Lecture 3: Functions That Accept Parameters

Lecture 4: Returning a Value From a Function

Lecture 5: Setting Default Values For Parameters

Lecture 6: Level Up with Python Exercises: Elevate Your Coding Abilities!

Chapter 7: Data Structures in Python – Lists

Lecture 1: Intro

Lecture 2: What Are Lists in Python?

Lecture 3: List Indexing

Lecture 4: Inserting New Items Into a List

Lecture 5: Removing Items From a List

Lecture 6: 5- Updating an Item From a List

Lecture 7: Unlock Your Coding Potential: Excel in Python with Dedicated Exercises!

Lecture 8: Sorting a List

Lecture 9: Finding an Item in a List – The in Keyword

Lecture 10: Slicing a List

Lecture 11: Unlock Your Coding Potential: Excel in Python with Dedicated Exercises!

Chapter 8: Loops in Python

Lecture 1: Intro

Lecture 2: Why Do We Need Loop Structures?

Lecture 3: The for Loop in Python

Lecture 4: Iterating Over a List

Lecture 5: Infinite Loop

Lecture 6: Dominate Python with Hands-On Challenges!

Chapter 9: To Do App – Use All You Have Learned Until Now!

Lecture 1: Intro

Lecture 2: How Does the To-do App Work?

Lecture 3: Implementing the Main Structure Of the To-do App

Lecture 4: Implementing the add_task() Function

Lecture 5: Implementing the show_tasks() Function

Lecture 6: Implementing the edit_task() Function

Lecture 7: Implementing the delete_task() Function

Chapter 10: Data Structures in Python – Tuples

Lecture 1: Intro

Lecture 2: Tuples vs Lists

Lecture 3: Returning Multiple Values From a Function by Using a Tuple

Lecture 4: Unpacking Tuples

Lecture 5: Advantages of Tuples Over Lists

Lecture 6: Master the Power of Tuples through Engaging Challenges!

Lecture 7: A Collection of Collections

Lecture 8: Master the Power of Tuples through Engaging Challenges!

Lecture 9: Iterating Over a Collection of Collections

Lecture 10: Master the Power of Tuples through Engaging Challenges!

Chapter 11: Data Structures in Python – Sets

Lecture 1: Intro

Lecture 2: How Does a Set Work in Python?

Instructors

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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!

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