Udemy - Learn to Code in Python 3 - Programming beginner to advanced

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[ DevCourseWeb.com ] Udemy - Learn to Code in Python 3 - Programming beginner to advanced
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Python Basics
    • 1. Installing Python on Mac.mp4 (58.3 MB)
    • 1. Installing Python on Mac.srt (8.2 KB)
    • 2. Installing Python on Windows.mp4 (63.6 MB)
    • 2. Installing Python on Windows.srt (7.7 KB)
    • 3. Statements.mp4 (36.0 MB)
    • 3. Statements.srt (8.3 KB)
    • 4. Variables.mp4 (29.3 MB)
    • 4. Variables.srt (6.1 KB)
    • 5. The Input Function.mp4 (42.3 MB)
    • 5. The Input Function.srt (6.4 KB)
    • 6. Exercise - Km to Miles Converter.mp4 (20.0 MB)
    • 6. Exercise - Km to Miles Converter.srt (4.2 KB)
    2. Data Types
    • 1. Data Types Strings.mp4 (54.5 MB)
    • 1. Data Types Strings.srt (10.2 KB)
    • 10. Exercise - Booleans.mp4 (14.5 MB)
    • 10. Exercise - Booleans.srt (3.0 KB)
    • 2. Exercise - Strings.mp4 (28.0 MB)
    • 2. Exercise - Strings.srt (4.7 KB)
    • 3. Data Types Numbers.mp4 (42.0 MB)
    • 3. Data Types Numbers.srt (9.0 KB)
    • 4. Exercise - Numbers.mp4 (26.3 MB)
    • 4. Exercise - Numbers.srt (4.3 KB)
    • 5. Data Types Lists and Tuples.mp4 (45.2 MB)
    • 5. Data Types Lists and Tuples.srt (8.9 KB)
    • 6. Exercise - Lists and Tuples.mp4 (23.9 MB)
    • 6. Exercise - Lists and Tuples.srt (6.7 KB)
    • 7. Data Types Dictionaries.mp4 (45.8 MB)
    • 7. Data Types Dictionaries.srt (6.8 KB)
    • 8. Exercise - Dictionaries.mp4 (25.5 MB)
    • 8. Exercise - Dictionaries.srt (5.5 KB)
    • 9. Data Types Booleans.mp4 (56.6 MB)
    • 9. Data Types Booleans.srt (9.8 KB)
    3. Conditionals, Loops, Functions and a bit more
    • 1. Conditionals (if, elif, else).mp4 (57.2 MB)
    • 1. Conditionals (if, elif, else).srt (8.3 KB)
    • 10. Functions.mp4 (64.8 MB)
    • 10. Functions.srt (10.0 KB)
    • 2. AND OR operators.mp4 (36.1 MB)
    • 2. AND OR operators.srt (3.9 KB)
    • 3. Exercise - Conditionals.mp4 (26.1 MB)
    • 3. Exercise - Conditionals.srt (4.7 KB)
    • 4. While Loops.mp4 (39.1 MB)
    • 4. While Loops.srt (8.1 KB)
    • 5. For Loops.mp4 (44.7 MB)
    • 5. For Loops.srt (8.7 KB)
    • 6. Exercise - Loops.mp4 (40.2 MB)
    • 6. Exercise - Loops.srt (8.3 KB)
    • 7. Data Validation.mp4 (74.6 MB)
    • 7. Data Validation.srt (7.3 KB)
    • 8. Error Handling.mp4 (18.1 MB)
    • 8. Error Handling.srt (3.2 KB)
    • 9. Exercise - Error Handling.mp4 (37.8 MB)
    • 9. Exercise - Error Handling.srt (4.8 KB)
    4. Modules
    • 1. Time.mp4 (49.7 MB)
    • 1. Time.srt (8.9 KB)
    • 2. Matplotlib.mp4 (54.4 MB)
    • 2. Matplotlib.srt (7.4 KB)
    • 3. Exercise - Time & Matplotlib.Pyplot.mp4 (48.3 MB)
    • 3. Exercise - Time & Matplotlib.Pyplot.srt (7.8 KB)
    • 4. Requests.mp4 (36.4 MB)
    • 4. Requests.srt (6.3 KB)
    • 5. Sending HTTP Requests to APIs.mp4 (29.8 MB)
    • 5. Sending HTTP Requests to APIs.srt (4.9 KB)
    • 6. Working With JSON.mp4 (48.6 MB)
    • 6. Working With JSON.srt (6.4 KB)
    • 7. Exercise - Requests & Json (Part 1).mp4 (100.9 MB)
    • 7. Exercise - Requests & Json (Part 1).srt (12.9 KB)
    • 8. Exercise - Requests & Json (Part 2).mp4 (130.6 MB)
    • 8. Exercise - Requests & Json (Part 2).srt (12.0 KB)
    • Ex14_quizzing_game.py (2.1 KB)
      • __MACOSX
      • _Ex14_quizzing_game.py (0.2 KB)
      5. File Handling
      • 1. File Handling Basics - Create, Read, Write & Append.mp4 (42.9 MB)
      • 1. File Handling Basics - Create, Read, Write & Append.srt (6.4 KB)
      • 2. Reading Excel Sheets.mp4 (68.8 MB)
      • 2. Reading Excel Sheets.srt (9.0 KB)
      • 2.1 sales.xlsx (9.9 KB)
      6. Introduction to Machine Learning
      • 1. Introduction to Machine Learning.mp4 (34.9 MB)
      • 1. Introduction to Machine Learning.srt (7.0 KB)
      • 2. The Iris Dataset.mp4 (54.0 MB)
      • 2. The Iris Dataset.srt (9.2 KB)
      • 3. Applying the KNN Model.mp4 (41.9 MB)
      • 3. Applying the KNN Model.srt (10.0 KB)
      • 4. Splitting Data Intro Train and Test Groups.mp4 (35.4 MB)
      • 4. Splitting Data Intro Train and Test Groups.srt (9.7 KB)
      • 5. Exercise KNN - Picking the Best Value Of K.mp4 (31.3 MB)
      • 5. Exercise KNN - Picking the Best Value Of K.srt (7.3 KB)
      • 6. The Logistic Regression Model.mp4 (13.5 MB)
      • 6. The Logistic Regression Model.srt (5.4 KB)
      • 7. Applying the Logistic Regression Model.mp4 (28.5 MB)
      • 7. Applying the Logistic Regression Model.srt (6.8 KB)
      • 8. What's next in Machine Learning.mp4 (51.0 MB)
      • 8. What's next in Machine Learning.srt (12.1 KB)
      7. The Final Project
      • 1. Project Overview.mp4 (40.6 MB)
      • 1. Project Overview.srt (4.2 KB)
      • Bonus Resources.txt (0.4 KB)
      • MyBlogs.pdf (171.6 KB)

Description

Learn to Code in Python 3: Programming beginner to advanced



https://DevCourseWeb.com

Last Update: 5/2020
Duration: 5h 32m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.94 GB
Genre: eLearning | Language: English

Python3 programming made easy with exercises, challenges and lots of real life examples. Learn to code today!
What you'll learn:
The basic fundamentals of programming and writing computer code
Using Python to solve real life problems with computer programs
Work with JSON and send HTTP requests to Web Servers and APIs to get data from external services
Statistics and Data Visualization
An introduction to Machine Learning in Python
Use Python to manipulate files, such as Excel sheets and TXT files
Requirements
It is not required to have any previous experience in IT or programming
You only need a computer
Description
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.
This course offers life time access, a certificate of conclusion and a 30-day money back guarantee. Don't miss this opportunity! Enroll now and start learning Python!

Who this course is for
Any person who wants to learn to code from absolute beginner level
Any person who wants to solve problems and create great services using Python programs



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seeders:6
leechers:12
Udemy - Learn to Code in Python 3 - Programming beginner to advanced

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Download torrent
1.9 GB
seeders:6
leechers:12
Udemy - Learn to Code in Python 3 - Programming beginner to advanced

Torrent hash: DD0DA119B108FC5EB259542242E9F7C8588E11F7