Udemy - Pure Python Accelerator - Rapid Learning for Quick Results

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[ DevCourseWeb.com ] Udemy - Pure Python Accelerator - Rapid Learning for Quick Results
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Essential Tools
    • 1. Check Yourself Before Starting!.html (0.8 KB)
    • 2. Intro.mp4 (13.6 MB)
    • 3. Creating a New Python Project in replit.com.mp4 (20.0 MB)
    10. Data Structures in Python - Tuples
    • 1. Intro.mp4 (6.4 MB)
    • 10. Master the Power of Tuples through Engaging Challenges!.html (0.4 KB)
    • 2. Tuples vs Lists.mp4 (27.0 MB)
    • 3. Returning Multiple Values From a Function by Using a Tuple.mp4 (19.0 MB)
    • 4. Unpacking Tuples.mp4 (11.3 MB)
    • 5. Advantages of Tuples Over Lists.mp4 (26.4 MB)
    • 6. Master the Power of Tuples through Engaging Challenges!.html (0.4 KB)
    • 7. A Collection of Collections.mp4 (20.0 MB)
    • 8. Master the Power of Tuples through Engaging Challenges!.html (0.4 KB)
    • 9. Iterating Over a Collection of Collections.mp4 (22.1 MB)
    11. Data Structures in Python - Sets
    • 1. Intro.mp4 (8.9 MB)
    • 10. The issubset() Function.mp4 (12.3 MB)
    • 11. Elevate Your Python Skills with Interactive Challenges on Sets.html (0.3 KB)
    • 12. How Does Dictionary work in Python.mp4 (23.6 MB)
    • 13. Elevate Your Python Skills with Interactive Challenges on Sets.html (0.3 KB)
    • 2. How Does a Set Work in Python.mp4 (27.2 MB)
    • 3. Elevate Your Python Skills with Interactive Challenges on Sets.html (0.3 KB)
    • 4. Set Advantages (Case-Study #1).mp4 (16.8 MB)
    • 5. Set Advantages (Case-Study #2).mp4 (17.4 MB)
    • 6. Set Advantages (Case-Study #3).mp4 (20.7 MB)
    • 7. The difference() Function.mp4 (16.1 MB)
    • 8. The union() Function.mp4 (16.4 MB)
    • 9. The isdisjoint() Function.mp4 (11.6 MB)
    12. Comprehension in Python Filtering and Mapping Lists, Tuples, Sets and Dicts
    • 1. Intro.mp4 (6.5 MB)
    • 2. Mapping a List by Using List Comprehension.mp4 (26.3 MB)
    • 3. Filtering a List by Using List Comprehension.mp4 (59.5 MB)
    • 4. Mapping a Dictionary by Using Dictionary Comprehension.mp4 (19.5 MB)
    • 5. Filtering a Dictionary by Using Dictionary Comprehension.mp4 (11.8 MB)
    • 6. Get Ready to Master Python Comprehensions.html (0.5 KB)
    13. Classes and Objects
    • 1. Intro.mp4 (7.6 MB)
    • 2. Object-Oriented Programming A Powerful Paradigm for Software Design.mp4 (12.8 MB)
    • 3. What Are Classes in Python.mp4 (12.5 MB)
    • 4. What is self.mp4 (18.3 MB)
    • 5. Encapsulation.mp4 (8.2 MB)
    • 6. Dive into the World of Python Classes with Hands-On Challenges.html (0.4 KB)
    14. File Input Output
    • 1. Intro.mp4 (5.9 MB)
    • 2. Reading From a File.mp4 (16.7 MB)
    • 3. Appending a Content To the End of a File.mp4 (12.7 MB)
    • 4. Replacing the Content.mp4 (6.2 MB)
    • 5. Iterating Through the Lines of a File.mp4 (8.1 MB)
    • 6. Writing a List of Lines Into a File.mp4 (5.3 MB)
    • 7. Become a Python File Handling Master with Hands-On Challenges.html (0.5 KB)
    15. Exception Handling
    • 1. Intro.mp4 (6.9 MB)
    • 2. Types of Errors.mp4 (10.7 MB)
    • 3. What is an Exception.mp4 (13.2 MB)
    • 4. How Does Exception Handling Help Us.mp4 (13.4 MB)
    • 5. The else Part.mp4 (8.0 MB)
    • 6. The finally Block.mp4 (7.4 MB)
    • 7. Types of an Exception.mp4 (12.6 MB)
    16. Task Management System Leverage Your Python Programming Skills All in One
    • 1. Intro.mp4 (13.5 MB)
    • 10. Testing the Task Management System.mp4 (41.3 MB)
    • 11. Become a Pro at Handling Errors in Python.html (0.4 KB)
    • 2. How Does the Task Management System Work.mp4 (28.8 MB)
    • 3. Implementing the Task Class.mp4 (25.4 MB)
    • 4. Implementing the create_task() Function.mp4 (16.5 MB)
    • 5. Implementing the display_tasks() Function.mp4 (12.4 MB)
    • 6. Implementing the save_tasks() Function.mp4 (14.3 MB)
    • 7. Implementing the load_tasks() Function.mp4 (18.1 MB)
    • 8. Implementing the update_task_status() Function.mp4 (19.7 MB)
    • 9. Put it All Together!.mp4 (33.4 MB)
    2. Variables and Basic Python Concepts
    • 1. Intro.mp4 (9.7 MB)
    • 10. Input Function.mp4 (18.6 MB)
    • 11. Python Primer Essential Exercises for Beginners.html (1.0 KB)
    • 12. Common Errors in Python.mp4 (13.2 MB)
    • 2. What is Python.mp4 (10.5 MB)
    • 3. Console Magic Unleashing the Power of Python's Print Function.mp4 (32.7 MB)
    • 4. Python Primer Essential Exercises for Beginners.html (1.0 KB)
    • 5. Single Quotes vs Double Quotes.mp4 (13.7 MB)
    • 6. Variables in Python.mp4 (17.9 MB)
    • 7. Python Primer Essential Exercises for Beginners.html (0.9 KB)
    • 8. Variable Naming Conventions.mp4 (6.0 MB)
    • 9. Python Primer Essential Exercises for Beginners.html (1.0 KB)
    3. Data Types
    • 1. Intro.mp4 (15.8 MB)
    • 10. Python Fundamentals Building Blocks for Beginners.html (0.4 KB)
    • 2. Int and Str Data Types.mp4 (14.0 MB)
    • 3. Python Fundamentals Building Blocks for Beginners.html (0.4 KB)
    • 4. Float and Boolean Data Types.mp4 (8.6 MB)
    • 5. Python Fundamentals Building Blocks for Beginners.html (0.4 KB)
    • 6. String Bulti-In Functions.mp4 (32.2 MB)
    • 7. Python Fundamentals Building Blocks for Beginners.html (0.4 KB)
    • 8. Numerical Built-In Functions.mp4 (21.6 MB)
    • 9. Type Casting.mp4 (46.0 MB)
    4. Operators in Python
    • 1. Intro.mp4 (10.6 MB)
    • 10. Python Workout Strengthen Your Coding Muscles with Exercises!.html (0.4 KB)
    • 2. The Assignment Operators.mp4 (10.3 MB)
    • 3. The Arithmetic Operators.mp4 (6.8 MB)
    • 4. Python Workout Strengthen Your Coding Muscles with Exercises!.html (0.4 KB)
    • 5. Operator Precedence.mp4 (32.8 MB)
    • 6. Python Workout Strengthen Your Coding Muscles with Exercises!.html (0.4 KB)
    • 7. Comparison Operators.mp4 (41.1 MB)
    • 8. Python Workout Strengthen Your Coding

Description

Pure Python Accelerator: Rapid Learning for Quick Results



https://DevCourseWeb.com

Published 9/2023
Created by Behnam Khani
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 137 Lectures ( 8h 11m ) | Size: 1.9 GB

Achieve Python Mastery with Real-World Scenarios and Hands-On Exercises

What you'll 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

Requirements
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.



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1.9 GB
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Udemy - Pure Python Accelerator - Rapid Learning for Quick Results

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Download torrent
1.9 GB
seeders:23
leechers:10
Udemy - Pure Python Accelerator - Rapid Learning for Quick Results

Torrent hash: 296C9117EF859F15B80C2FFF7113FE6227076761