| 1. Conditionals (if, elif, else).mp4 | 57.2 MB | ||
| 1. Conditionals (if, elif, else).srt | 8.3 KB | ||
| 1. Data Types Strings.mp4 | 54.5 MB | ||
| 1. Data Types Strings.srt | 10.2 KB | ||
| 1. File Handling Basics - Create, Read, Write & Append.mp4 | 42.9 MB | ||
| 1. File Handling Basics - Create, Read, Write & Append.srt | 6.4 KB | ||
| 1. Installing Python on Mac.mp4 | 58.3 MB | ||
| 1. Installing Python on Mac.srt | 8.2 KB | ||
| 1. Introduction to Machine Learning.mp4 | 34.9 MB | ||
| 1. Introduction to Machine Learning.srt | 7 KB | ||
| 1. Project Overview.mp4 | 40.6 MB | ||
| 1. Project Overview.srt | 4.2 KB | ||
| 1. Time.mp4 | 49.7 MB | ||
| 1. Time.srt | 8.9 KB | ||
| 10. Exercise - Booleans.mp4 | 14.5 MB | ||
| 10. Exercise - Booleans.srt | 3 KB | ||
| 10. Functions.mp4 | 64.9 MB | ||
| 10. Functions.srt | 10 KB | ||
| 2. AND OR operators.mp4 | 36.1 MB | ||
| 2. AND OR operators.srt | 3.9 KB | ||
| 2. Exercise - Strings.mp4 | 28 MB | ||
| 2. Exercise - Strings.srt | 4.7 KB | ||
| 2. Installing Python on Windows.mp4 | 63.6 MB | ||
| 2. Installing Python on Windows.srt | 7.7 KB | ||
| 2. Matplotlib.mp4 | 54.4 MB | ||
| 2. Matplotlib.srt | 7.4 KB | ||
| 2. Reading Excel Sheets.mp4 | 68.8 MB | ||
| 2. Reading Excel Sheets.srt | 9 KB | ||
| 2. The Iris Dataset.mp4 | 54 MB | ||
| 2. The Iris Dataset.srt | 9.2 KB | ||
| 2.1 sales.xlsx | 9.9 KB | ||
| 3. Applying the KNN Model.mp4 | 41.9 MB | ||
| 3. Applying the KNN Model.srt | 10 KB | ||
| 3. Data Types Numbers.mp4 | 42 MB | ||
| 3. Data Types Numbers.srt | 9 KB | ||
| 3. Exercise - Conditionals.mp4 | 26.1 MB | ||
| 3. Exercise - Conditionals.srt | 4.7 KB | ||
| 3. Exercise - Time & Matplotlib.Pyplot.mp4 | 48.4 MB | ||
| 3. Exercise - Time & Matplotlib.Pyplot.srt | 7.8 KB | ||
| 3. Statements.mp4 | 36 MB | ||
| 3. Statements.srt | 8.3 KB | ||
| 4. Exercise - Numbers.mp4 | 26.3 MB | ||
| 4. Exercise - Numbers.srt | 4.3 KB | ||
| 4. Requests.mp4 | 36.4 MB | ||
| 4. Requests.srt | 6.3 KB | ||
| 4. Section Under Construction.mp4 | 3.9 MB | ||
| 4. Section Under Construction.srt | 716.8 B | ||
| 4. Variables.mp4 | 29.3 MB | ||
| 4. Variables.srt | 6.1 KB | ||
| 4. While Loops.mp4 | 39.1 MB | ||
| 4. While Loops.srt | 8.1 KB | ||
| 5. Data Types Lists and Tuples.mp4 | 45.2 MB | ||
| 5. Data Types Lists and Tuples.srt | 8.9 KB | ||
| 5. For Loops.mp4 | 44.7 MB | ||
| 5. For Loops.srt | 8.7 KB | ||
| 5. Sending HTTP Requests to APIs.mp4 | 29.8 MB | ||
| 5. Sending HTTP Requests to APIs.srt | 4.9 KB | ||
| 5. The Input Function.mp4 | 42.3 MB | ||
| 5. The Input Function.srt | 6.4 KB | ||
| 6. Exercise - Km to Miles Converter.mp4 | 20.1 MB | ||
| 6. Exercise - Km to Miles Converter.srt | 4.2 KB | ||
| 6. Exercise - Lists and Tuples.mp4 | 24 MB | ||
| 6. Exercise - Lists and Tuples.srt | 6.7 KB | ||
| 6. Exercise - Loops.mp4 | 40.2 MB | ||
| 6. Exercise - Loops.srt | 8.3 KB | ||
| 6. Working With JSON.mp4 | 48.6 MB | ||
| 6. Working With JSON.srt | 6.4 KB | ||
| 7. Data Types Dictionaries.mp4 | 45.9 MB | ||
| 7. Data Types Dictionaries.srt | 6.8 KB | ||
| 7. Data Validation.mp4 | 74.6 MB | ||
| 7. Data Validation.srt | 7.3 KB | ||
| 7. Exercise - Requests & Json (Part 1).mp4 | 100.9 MB | ||
| 7. Exercise - Requests & Json (Part 1).srt | 12.9 KB | ||
| 8. Error Handling.mp4 | 18.1 MB | ||
| 8. Error Handling.srt | 3.2 KB | ||
| 8. Exercise - Dictionaries.mp4 | 25.5 MB | ||
| 8. Exercise - Dictionaries.srt | 5.5 KB | ||
| 8. Exercise - Requests & Json (Part 2).mp4 | 130.6 MB | ||
| 8. Exercise - Requests & Json (Part 2).srt | 12 KB | ||
| 9. Data Types Booleans.mp4 | 56.6 MB | ||
| 9. Data Types Booleans.srt | 9.8 KB | ||
| 9. Exercise - Error Handling.mp4 | 37.8 MB | ||
| 9. Exercise - Error Handling.srt | 4.8 KB | ||
| [FreeCourseWorld.Com].url | 102.4 B | ||
| ▲ 84 total files | |||
Learn to Code in Python 3: Programming beginner to advanced
In this course, learning to code will be easy and intuitive for you. You will learn Python 3, one of the most popular programming languages in the world.
We will cover the basic fundamentals of programming and you will learn how to do exciting things in Python, like reading and writing on files, like Excel sheets or TXT files, working with JSON and sending HTTP requests to web servers and APIs.
We will also cover a little bit of Data Visualization, Statistics and Machine Learning in Python.
This course does not require previous experience in IT or programming, it was designed to help any person learn to code. By the end of the course you will be writing you own programs and thinking like a programmer. Your professional life will get a huge upgrade.
Created by Ivan Lourenço Gomes
Last updated 3/2019
English
English [Auto-generated]
For More Courses Visit: https://freecourseworld.com
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.8 GB | freecoursewb | 4 days | 72 | 11 | |
|
Udemy - Systematic Theology for Beginners - Learn Christian Doctrine Posted by
freecoursewb in Other
|
2.9 GB | freecoursewb | 4 days | 0 | 0 |
| 3.1 GB | freecoursewb | 1 week | 17 | 6 | |
| 2.3 GB | freecoursewb | 1 week | 68 | 9 | |
| 3.7 GB | freecoursewb | 2 weeks | 26 | 5 |
All Comments