Udemy - Python for Beginners: Learn Python with Practical Exercises

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Udemy - Python for Beginners: Learn Python with Practical Exercises (Size: 383 MB)
  1. Course Introduction.mp4 6.5 MB
  1. Data Types.mp4 8.7 MB
  1. Error Handling Concept.mp4 5.9 MB
  1. Function Concept.mp4 10.2 MB
  1. Game Project Explanation and Hints.mp4 10 MB
  1. If Else Statements Syntax.mp4 5.2 MB
  1. Installing VSCode incl. tips.mp4 13.5 MB
  1. OOP Concepts.mp4 6.3 MB
  1.1 BlackJack.zip.zip 18.3 KB
  1.1 Control & Looping.zip.zip 54.2 KB
  1.1 Data Types & Methods.zip.zip 3.8 KB
  1.1 Error Handling - Try, Except, Finally.zip.zip 3.1 KB
  1.1 Final Project Outline and Hints.pdf.pdf 47.5 KB
  1.1 Functions.zip.zip 3.8 KB
  1.1 Object Oriented Programming.zip.zip 2.3 KB
  10. Looping Exercise Solution.mp4 5.4 MB
  2. Error Handling Examples.mp4 10.8 MB
  2. Function Examples and Quick Exercise.mp4 5.7 MB
  2. Game Project Solution Part 1.mp4 11 MB
  2. If Else Control Logic Part 1.mp4 6.9 MB
  2. Installing Pylint.mp4 6.5 MB
  2. Int and Float.mp4 8.5 MB
  2. Iterm2 Installation.mp4 3.1 MB
  2. OOP Examples.mp4 11.5 MB
  3. File Structure and Modules Explained.mp4 17.8 MB
  3. Function Scoping.mp4 6.6 MB
  3. Game Project Solution Part 2.mp4 8.6 MB
  3. If Else Control Logic Part 2.mp4 6.3 MB
  3. Installing Python 3.mp4 9.6 MB
  3. OOP Important Usage.mp4 11.7 MB
  3. Retrieving From a List.mp4 3.9 MB
  3. Using While Loops with Error Handling.mp4 7.4 MB
  4. Error Handling Exercise.mp4 4.2 MB
  4. For Loop and While Loop Syntax and Logic.mp4 7.6 MB
  4. Function Exercises.mp4 10.7 MB
  4. Game Project Solution Part 3.mp4 20.4 MB
  4. Installing Jupyter Notebook.mp4 16.5 MB
  4. List Methods.mp4 8.8 MB
  4. OOP Exercise and Solution.mp4 9.3 MB
  4. Using Python in VSCode.mp4 6.1 MB
  4.1 Installation troubleshooting.pdf.pdf 39.5 KB
  5. Error Handling Exercise Solution.mp4 6.5 MB
  5. For Loop Logic and Quick Exercise.mp4 7.9 MB
  5. Function Exercise Solution Part 1.mp4 8 MB
  5. Running Python Program in the Terminal.mp4 8.4 MB
  5. Tuples.mp4 3.4 MB
  6. Function Exercise Solution Part 2.mp4 9.4 MB
  6. String Methods.mp4 11.5 MB
  6. While Loops Logic.mp4 5.4 MB
  7. Dictionary Methods.mp4 4.8 MB
  7. While Loops with If, Else Statements.mp4 7.9 MB
  8. Break and Continue Methods.mp4 7.6 MB
  8. Print Method.mp4 3.4 MB
  9. Data Types and Methods Quiz.html 102.4 B
  9. Looping Exercise.mp4 7.3 MB
  Read Me.txt 102.4 B
  Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt 102.4 B
  TutsGalaxy.com.txt 0 B
  ▲ 59 total files

Description


Requirements

A Willingness To Learn Awesome Python Skills
This course requires a Mac, little support for Windows

Description

Hi I’m Sam, a big data engineer and full stack web developer teaching you to program in Python in the most efficient and down to earth approach. I will not only teach you to code but also the environment used to develop python code used by everyday data scientists and big data engineers.

This course is streamlined into 3 hours to fit into a busy schedule. All content in this course will be highly reusable in a real world situation. This course is strictly no ‘fluff’ which means we will get into the core of programming straight away without going through hours of theory which you will never apply on real projects.

So if you want to learn python programming to transition into data science, or the big data space and don’t have the luxury of time you have come to the right place!

Course is split up into sections as below:

Environment Setup – Here you learn and install the most popular environments used by data scientists and developers

Data Types and Methods – The abc’s of the coding language.

Control and Looping – Learn how to control the flow of the program and repeat tasks

Functions – Help Automate your tasks

Error Handling – Handles errors in real world applications

Object Oriented Programming – Learn OOP to be even better at programming

File Structure & Running in Terminal – Learn how Python modules work and run in Terminal
Who is the target audience?

For People Who want to learn Python Fundamentals and later transition into Data Science, Web Development or Big Data
For Complete Programming Beginners
For People New to Python
Not Intended for Seasoned Developers

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