Learn PYTHON with 14 Challenge-based Applied Projects

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size767.9 MB
  • Uploaded Bytutsnode
  • Downloads128
  • Last checkedJul. 21st '23
  • Date uploadedJul. 21st '23
  • Seeders 67
  • Leechers16

Infohash : 593B6F38E659525917DE6FEB0680B0AE077DD8EC


Description

Learn Python: Coding 14 Challenge-based Hands-on Real-World Projects

Are you ready to embark on an exciting Python learning adventure?

Join Andre’s exceptional course, “Learn Python: Coding 14 Challenge-based Hands-on Projects.” Whether you’re a coding novice or an experienced developer looking to expand your skills to include Python, this course is designed to meet your needs.

Structured around hands-on, practical challenges, our course offers an interactive, enjoyable, and engaging approach to learning Python. Each challenge focuses on a specific Python topic, such as variables, loops, lists, and functions. We firmly believe that active practice is the key to mastering programming, and our challenges provide ample opportunities to solidify your Python knowledge.

What sets our course apart is our unique two-video format for each challenge. In the first video, we introduce the challenge and provide a comprehensive explanation of the underlying Python concepts required to solve it. The second video guides you through the solution, ensuring a deep understanding of both the “how” and the “why” behind it.

In addition to the challenges, we provide in-depth tutorials on Python fundamentals. These tutorials ensure you have a strong grasp of the basics before delving into more complex topics, enabling you to build a solid foundation.

Our course utilizes Replit, an online IDE that requires no installation. This accessibility feature makes the course available to all, regardless of your computer’s specifications. Additionally, coding along with the videos promotes active learning and enhances your understanding of the material.

Andre, your dedicated instructor, is a seasoned Python developer with a passion for teaching and sharing knowledge. His friendly and motivational teaching style will make your learning journey enjoyable and rewarding.

By the course’s conclusion, you’ll have a solid Python foundation and the confidence to tackle your own projects. Whether you aspire to become a data scientist, a web developer, or simply want to automate tasks, Python’s versatility opens doors to various fields.

Enroll today and embark on an exhilarating Python learning journey, one challenge at a time
Who this course is for:

Beginners: If you’re new to programming, this course provides a friendly and engaging introduction to Python. You’ll learn by doing, solving real-world challenges from the very start.
Experienced Programmers: If you’re already comfortable with another programming language and want to learn Python, this course will quickly bring you up to speed. You’ll appreciate Python’s simplicity and power, and the challenge-based format will keep you engaged.
Hobby Coders: If you’re interested in coding as a hobby, you’ll find Python to be a versatile and fun language to learn. It’s great for small projects and automating tasks.
Career Changers: If you’re considering a career in tech, this course offers a solid foundation in Python, a language widely used in many tech fields, including web development, data science, machine learning, and more.

Requirements

A Computer and Internet Connection: You’ll need a desktop or laptop and reliable internet to access the course materials and use the Replit online IDE.

Last Updated 6/2023

Files:

Learn PYTHON with 14 Challenge-based Applied Projects [TutsNode.net] - Learn PYTHON with 14 Challenge-based Applied Projects 15. Challenge 13
  • 2. Challenge 13 - Solution.mp4 (56.4 MB)
  • 2.1 challenge13.py (0.6 KB)
  • 1. Challenge 13 - Calculate area.mp4 (20.2 MB)
14. Challenge 12
  • 2.1 challenge12.py (0.5 KB)
  • 2. Challenge 12 - Solution.mp4 (27.8 MB)
  • 1. Challenge 12 - Nested Dictionaires.mp4 (12.6 MB)
12. Challenge 10
  • 2.1 challenge10.py (0.4 KB)
  • 2. Tenth Challenge - Solution.mp4 (31.8 MB)
  • 1. Tenth Challenge - Functions.mp4 (8.6 MB)
10. Challenge 8
  • 2.1 challenge08.py (0.4 KB)
  • 2. Eighth Challenge - Solution.mp4 (33.4 MB)
  • 1. Eighth Challenge - Lists.mp4 (7.1 MB)
11. Challenge 9
  • 2.1 challenge09.py (0.4 KB)
  • 2. Ninth Challenge - Solution.mp4 (31.6 MB)
  • 1. Ninth Challenge - Input Lists.mp4 (5.4 MB)
16. Challenge 14
  • 2.1 challenge14.py (0.4 KB)
  • 2. Challenge 14 - Solution.mp4 (45.0 MB)
  • 1. Challenge 14 - Process Text.mp4 (11.1 MB)
4. Challenge 2
  • 2.1 challenge02.py (0.3 KB)
  • 2. Second Challenge - Solution.mp4 (26.4 MB)
  • 1. Second Challenge - Input.mp4 (9.4 MB)
5. Challenge 3
  • 2.1 challenge03.py (0.3 KB)
  • 2. Third Challenge - Solution.mp4 (19.6 MB)
  • 1. Third Challenge - Data Types.mp4 (11.7 MB)
6. Challenge 4
  • 2.1 challenge04.py (0.2 KB)
  • 2. Fourth Challenge - Solution.mp4 (22.0 MB)
  • 1. Fourth Challenge - Conditional Statements.mp4 (5.7 MB)
3. Challenge 1
  • 2.1 challenge01.py (0.2 KB)
  • 2. First Challenge - Solution.mp4 (19.9 MB)
  • 1. First Challenge - Variables.mp4 (11.3 MB)
7. Challenge 5
  • 2.1 challenge05.py (0.2 KB)
  • 2. Fifth Challenge - Solution.mp4 (18.3 MB)
  • 1. Fifth Challenge - Even and Odd.mp4 (6.2 MB)
9. Challenge 7
  • 2.1 challenge07.py (0.2 KB)
  • 2. Seventh Challenge - Solution.mp4 (20.1 MB)
  • 1. Seventh Challenge - Fibonacci Sequence.mp4 (7.3 MB)
8. Challenge 6
  • 2.1 challenge06.py (0.2 KB)
  • 2. Sixth Challenge - Solution.mp4 (28.3 MB)
  • 1. Sixth Challenge - Loops.mp4 (7.0 MB)
13. Challenge 11
  • 2.1 challenge11.py (0.1 KB)
  • 2. Challenge 11 - Solution.mp4 (16.9 MB)
  • 1. Challenge 11 - Dictionary.mp4 (14.6 MB)
1. Introduction
  • 5. How to get the most out of this course.mp4 (40.7 MB)
  • 1. Welcome.mp4 (33.9 MB)
  • 2. Choosing the best IDE.mp4 (24.5 MB)
  • 3. Creating my free Replit Account.mp4 (16.7 MB)
  • 4. What is Python.mp4 (14.7 MB)
17. The End
  • 1. Thank You.mp4 (36.0 MB)
2. Knowledge Base
  • 3. Adding Comments to your code.mp4 (22.9 MB)
  • 2. Variables and Types.mp4 (22.3 MB)
  • 1. The Print function.mp4 (11.7 MB)
  • TutsNode.net.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
  • .pad
    • 0 (104.2 KB)
    • 1 (511.0 KB)
    • 2 (264.2 KB)
    • 3 (46.0 KB)
    • 4 (73.7 KB)
    • 5 (76.0 KB)
    • 6 (181.6 KB)
    • 7 (454.7 KB)
    • 8 (240.9 KB)
    • 9 (231.1 KB)
    • 10 (139.0 KB)
    • 11 (50.9 KB)
    • 12 (113.7 KB)
    • 13 (231.1 KB)
    • 14 (506.9 KB)
    • 15 (309.8 KB)
    • 16 (415.5 KB)
    • 17 (78.3 KB)
    • 18 (451.7 KB)
    • 19 (155.8 KB)
    • 20 (120.8 KB)
    • 21 (299.0 KB)
    • 22 (296.9 KB)
    • 23 (416.6 KB)
    • 24 (451.8 KB)
    • 25 (297.4 KB)
    • 26 (322.0 KB)
    • 27 (184.0 KB)
    • 28 (374.6 KB)
    • 29 (89.6 KB)
    • 30 (366.8 KB)
    • 31 (179.5 KB)
    • 32 (411.9 KB)
    • 33 (39.4 KB)
    • 34 (313.7 KB)
    • 35 (280.6 KB)

Code:

  • udp://open.stealth.si:80/announce
  • udp://tracker.tiny-vps.com:6969/announce
  • udp://fasttracker.foreverpirates.co:6969/announce
  • udp://tracker.opentrackr.org:1337/announce
  • udp://explodie.org:6969/announce
  • udp://tracker.cyberia.is:6969/announce
  • udp://ipv4.tracker.harry.lu:80/announce
  • udp://tracker.uw0.xyz:6969/announce
  • udp://opentracker.i2p.rocks:6969/announce
  • udp://tracker.birkenwald.de:6969/announce
  • udp://tracker.torrent.eu.org:451/announce
  • udp://tracker.moeking.me:6969/announce
  • udp://tracker.dler.org:6969/announce
  • udp://9.rarbg.me:2970/announce