Python 3 Programming: Beginner To Pro Masterclass

Learn Python 3 with more than 100 Practical Exercises and 20 Hands-on Practical Projects

What you'll learn
DIVE INTO PYTHON WORLD WITH PYTHON FUNDAMENTALS:
Variables and data types & Comparison operators
Logical Operators & Conditional statements (If-else)
For and while loops & Functions
Lists and list comprehensions
Dictionaries and dictionaries comprehensions
Lambdas and built-in functions & Modules & Maps and Filters
Processing csv files & Methods & Matplotlib
Pandas & Numpy & Seaborn
Use OpenCV applied on Video Stream to Draw Yourself
Requirements
Access to a computer with an internet connection.
Computer. Mac OS, Windows or Linux.
No previous experience with Python or coding is required.
Description
We are on a mission to create the most complete Python programming guide in the World. From Python basics to techniques used by pros, this masterclass provides you with everything you need to start building and applying Python. “Python Beginner to Pro Masterclass” is our flagship Python course that delivers unique learning with 3 immersive courses packed into 1 easy-to-learn package: First, prepare yourself by learning the basics and perfect your knowledge of the language with a beginner to pro Python programming course.Next, build on your knowledge with a practical, applied and hands-on Python course with over 20 real-world applications problems and 100 coding exercises to help you learn in a practical, easy and fun way. These will be invaluable projects to showcase during future job interviews!Finally, push your boundaries with a data science and machine-learning course covering practical machine learning applications using Python. Dive into real-life situations and solve real-world challenges.So, why is Python the golden programming language these days? And what makes it the best language to learn today? Python ranks as the number one programming language in 2018 for five simple reasons that are bound to change the shape of your life and career: (1)   Easy to learn: Python is the easiest programming language to learn. In fact, at the end of this single course, you’ll be able to master Python and its applications regardless of your previous experience with programming.(2)   High Salary: Did you know that the average Python programmer in the U.S. makes approximately $116 thousand dollars a year? With “Python 3 Beginning to Pro Masterclass” you’re setting yourself for up for increased earning potential that can only rise from here.(3)   Scalability: It’s true, Python is easy to learn. But it’s also an extremely powerful language that can help you create top-tier apps. In fact, Google, Instagram, YouTube, and Spotify are all built using Python.(4)   Versatility: What’s more, Python is by far the most versatile programming language in the world today! From web development to data science, machine learning, computer vision, data analysis and visualization, scripting, gaming, and more, Python has the potential to deliver growth to any industry.(5)   Future-proof Career:  The high demand and low supply of Python developers make it the ideal programming language to learn today. Whether you’re eyeing a career in machine learning or artificial intelligence, learning Python is an invaluable investment in your career.

Overview

Section 1: *******BEGINNER PYTHON FUNDAMENTALS - PART A *********

Lecture 1 Introduction and Welcome Message

Lecture 2 Environment Setup

Lecture 3 BONUS: Learning Paths

Lecture 4 Updates on Udemy Reviews

Lecture 5 Environment Setup

Lecture 6 Basic Mathematical Operations

Lecture 7 Precedence - order of operation

Lecture 8 Variable Assignment

Lecture 9 Math operations, precedence, variables assignment Exercises Questions

Lecture 10 Math operations, precedence, variables assignment Exercises Solutions 1

Lecture 11 Math operations, precedence, variables assignment Exercises Solutions 2

Lecture 12 Print Operation

Lecture 13 Get User Input

Lecture 14 Print and Get User input Exercises Questions

Lecture 15 Print and Get User input Exercises Solutions Part 1

Lecture 16 Print and Get User input Exercises Solutions Part 2

Lecture 17 Strings Concept

Lecture 18 Strings Exercises Questions

Lecture 19 Strings Exercises Solutions Part 1

Lecture 20 Strings Exercises Solutions Part 2

Lecture 21 Lists Concept

Lecture 22 Lists Exercises Questions

Lecture 23 Lists Exercises Solutions Part 1

Lecture 24 Lists Exercises Solutions Part 2

Lecture 25 Dictionaries and Booleans Concept

Lecture 26 Dictionaries and Booleans Exercises Questions

Lecture 27 Dictionaries and Booleans Exercises Solutions Part 1

Lecture 28 Dictionaries and Booleans Exercises Solutions Part 2

Lecture 29 Dictionaries and Booleans Exercises Solutions Part 3

Lecture 30 Tuples and Sets Concept

Lecture 31 Tuples and Sets Exercises Questions

Lecture 32 Tuples and Sets Exercises Solutions

Lecture 33 Get the Materials

Section 2: *******BEGINNER PYTHON FUNDAMENTALS - PART B *********

Lecture 34 Comparison Operators - Concept

Lecture 35 Logical Operators - Concept

Lecture 36 Conditional Statements - Concept

Lecture 37 Conditional Statements, logical and Comparison Operators - Exercises Overview

Lecture 38 Conditional Statements, logical and Comparison Operators - Exercises Solutions#1

Lecture 39 Conditional Statements, logical and Comparison Operators - Exercises Solutions#2

Lecture 40 Conditional Statements, logical and Comparison Operators - Exercises Solutions#3

Lecture 41 Conditional Statements, logical and Comparison Operators - Exercises Solutions#4

Lecture 42 Loops - For Loops Concept

Lecture 43 Loops - enumerate

Lecture 44 Loops - range

Lecture 45 Loops - Break and Continue

Lecture 46 Loops - Nested Loops

Lecture 47 Loops - List Comprehension

Lecture 48 Loops - While Loops

Lecture 49 Loops - Exercises Questions Overview

Lecture 50 Loops - Exercises Solutions part #1

Lecture 51 Loops - Exercises Solutions part #2

Lecture 52 Loops - Exercises Solutions part #3

Lecture 53 Loops - Exercises Solutions part #4

Lecture 54 Loops - Exercises Solutions part #5

Lecture 55 Functions - Concept

Lecture 56 Functions - Built in functions

Lecture 57 Functions - lambda Expressions

Lecture 58 Functions - Map

Lecture 59 Functions - Filter

Lecture 60 Functions - Exercises Questions Overview

Lecture 61 Functions - Exercises Solutions Part #1

Lecture 62 Functions - Exercises Solutions Part #2

Lecture 63 Functions - Exercises Solutions Part #3

Lecture 64 Functions - Exercises Solutions Part #4

Lecture 65 Files - Concept Part 1

Lecture 66 Files - Concept Part 2

Lecture 67 Files - Concept Part 3

Lecture 68 Files - Exercises Questions Overview

Lecture 69 Files - Exercises Solutions Part #1

Lecture 70 Files - Exercises Solutions Part #2

Lecture 71 Files - Exercises Solutions Part #3

Section 3: *******BEGINNER PYTHON FUNDAMENTALS - Part C *******

Lecture 72 Numpy Basics - Part 1

Lecture 73 Numpy Basics - Part 2

Lecture 74 Pandas - Part 1

Lecture 75 Pandas - Part 2

Lecture 76 Matplotlib - Part 1

Lecture 77 Matplotlib - Part 2

Lecture 78 Matplotlib - Part 3

Lecture 79 Seaborn

Section 4: *******PRACTICAL PROJECTS IN PYTHON *******

Lecture 80 Project #1 - Build a Guessing Game

Lecture 81 Project #2 - Draw Cartoon of Images Using OpenCV - Part A

Lecture 82 Project #2 - Draw Cartoon of Images Using OpenCV - Part B

Lecture 83 Project #3 - Build a Fortune Teller Game

Lecture 84 Project #4 - Detect Lane Lines for Self-driving Cars - Part A

Lecture 85 Project #4 - Detect Lane Lines for Self-driving Cars - Part B

Lecture 86 Project #5 - Build your Zodiac Sign Application

Lecture 87 Project #6 - Build a Tic-Tac-Toe Game

Lecture 88 Project #7 - Draw a Sketch of your Face Using the WebCam

Lecture 89 Project #8 - Amazon Alexa Reviews Analysis - Part 1 - Project Overview

Lecture 90 Project #8 - Amazon Alexa Reviews Analysis - Part 2 - Importing data

Lecture 91 Project #8 - Amazon Alexa Reviews Analysis - Part 3 - Data Visualization

Lecture 92 Project #8 - Amazon Alexa Reviews Analysis - Part 4 - Word Cloud

Lecture 93 Project #8 - Amazon Alexa Reviews Analysis - Part 5 - Feature Engineering

Lecture 94 Project #9 - Build a Daily Planner - Part #1

Lecture 95 Project #9 - Build a Daily Planner - Part #2

Lecture 96 Project #9 - Build a Daily Planner - Part #3

Lecture 97 Project #10 - Predict Future Avocado Prices Using Facebook Prophet - Part 1

Lecture 98 Project #10 - Predict Future Avocado Prices Using Facebook Prophet - Part 2

Lecture 99 Project #10 - Predict Future Avocado Prices Using Facebook Prophet - Part 3

Lecture 100 Project #10 - Predict Future Avocado Prices Using Facebook Prophet - Part 4

Lecture 101 Project #10 - Predict Future Avocado Prices Using Facebook Prophet - Part 5

Lecture 102 Project #11 - Manipulate PDF Files - Part 1

Lecture 103 Project #11 - Manipulate PDF Files - Part 2

Lecture 104 Project #11 - Manipulate PDF Files - Part 3

Lecture 105 Project #11 - Manipulate PDF Files - Part 4

Lecture 106 Project #11 - Manipulate PDF Files - Part 5

Lecture 107 Project #12 - Detect Faces and Eyes in Images! Part 1

Lecture 108 Project #12 - Detect Faces and Eyes in Images! Part 2

Lecture 109 Project #12 - Detect Faces and Eyes in Images! Part 3

Lecture 110 Project #12 - Detect Faces and Eyes in Images! Part 4

Section 5: ****** MACHINE LEARNING IN PYTHON ********

Lecture 111 Download Machine Learning Course Package

Lecture 112 Introduction to Artificial Intelligence and Machine Learning

Lecture 113 Supervised, Unsupervised, and Reinforcement Learning

Lecture 114 Deep Learning and Big Picture

Lecture 115 Case Study 1 - Introduction to Linear Regression

Lecture 116 Case Study 1 - Least Sum of Squares

Lecture 117 Case Study 1 - Problem Statement and Data Importing

Lecture 118 Case Study 1 - Data Visualization and Data Splitting

Lecture 119 Case Study 1 - Model Training

Lecture 120 Case Study 1 - Model Testing and Evaluation

Lecture 121 Case Study 2 - Business Case and Problem Statement

Lecture 122 Case Study 2 - Problem in Machine Learning Vocabulary

Lecture 123 Case Study 2 - Data Visualization

Lecture 124 Case Study 2 - Model Training

Lecture 125 Case Study 2 - Model Evaluation

Lecture 126 Case Study 2 - Improving the Model

Lecture 127 Case Study 2 - Conclusion

Lecture 128 Case Study 3 - Introduction

Lecture 129 Case Study 3 - Artificial Neural Networks Basics

Lecture 130 Case Study 3 - Convolution Neural Network (CNN) Overview

Lecture 131 Case study 3 - Convolution Operation in Action!

Lecture 132 Case Study 3 - Rectified Linear Units (RELU)

Lecture 133 Case Study 3 - Max Pooling and Down-sampling

Lecture 134 Case Study 3 - Regularization and Dropouts

Lecture 135 Case Study 3 - Coding Part 1 - Problem Statement and Data Import

Lecture 136 Case Study 3 - Data Visualization

Lecture 137 Case Study 3 - CNN Model Building

Lecture 138 Case Study 3 - CNN Model Training

Lecture 139 Case Study 3 - CNN Model Evaluation Part 1

Lecture 140 Case Study 3 - CNN Model Evaluation Part 2

Section 6: Bonus Lectures

Lecture 141 ***YOUR SPECIAL BONUS***

Anyone who wants to learn Python.,Beginners who have just started to learn Python,Professionals who want to learn Python through Real World Applications,Professionals who want to obtain particular skill, such as Web Scraping, Working With Databases, Build Websites, etc