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Pure Python Programming: Rapid Learning for Quick Results

person icon Behnam Khani

4.2

Pure Python Programming: Rapid Learning for Quick Results

Achieve Python programming Mastery with Real-World Scenarios and Hands-On Exercises for beginners to advanced

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Behnam Khani

category icon Python,Python Programming,Python Bootcamp

Lectures -136

Duration -8 hours

4.2

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Course Description

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 projects and 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 beginners can benefit from this Python course.

Goals

What will you learn in this course:

  • 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

Prerequisites

What are the prerequisites for this course?

  • All you need is a computer with internet access to complete the course exercises and projects.

  • No specific tools or equipment are needed. The course will guide you through setting up the necessary software.

  • A willingness to learn and a passion for problem-solving are the only prerequisites for this course.

Pure Python Programming: Rapid Learning for Quick Results

Curriculum

Check out the detailed breakdown of what’s inside the course

Intro - Who is this course for?!
3 Lectures
  • play icon Who is this course for? 04:11 04:11
  • play icon Essential Tools 01:41 01:41
  • play icon Create a new Python project in replit.com 03:13 03:13
1- Variables
12 Lectures
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2- Data Types
10 Lectures
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3- Operators in Python
10 Lectures
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4- Control Flow in Python
12 Lectures
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5- Writing Your Own Functions
6 Lectures
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6- Data Structures in Python - Lists
11 Lectures
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7- Loops in Python
6 Lectures
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8- To Do App - Use All You Have Learned Until Now!
7 Lectures
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9- Data Structures in Python - Tuples
10 Lectures
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10- Data Structures in Python - Sets
12 Lectures
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11- Comprehension in Python Filtering and Mapping lists, tuples, sets and dictionaries
6 Lectures
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12- Classes and Objects
6 Lectures
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13- File Input Output
7 Lectures
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14- Exception Handling
7 Lectures
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15- Task Management System - Leverage your Python programming skills all in one
11 Lectures
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Instructor Details

Behnam Khani

Behnam Khani

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