Python 3 Programming: Beginner to Pro Masterclass

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Dr. Ryan Ahmed, Ph.D., MBA,Mitchell Bouchard,Ligency I Team,Ligency Team

22:36:52

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1 - BEGINNER PYTHON FUNDAMENTALS PART A

1 - Introduction and Welcome Message.mp4

03:39

1 - Python-Beg-to-Pro-Jan2019.zip

2 - Environment Setup.html

3 - BONUS Learning Paths.html

4 - Updates on Udemy Reviews.mp4

01:09

5 - Environment Setup.mp4

08:25

6 - Basic Mathematical Operations.mp4

11:54

7 - Precedence order of operation.mp4

05:01

8 - Variable Assignment.mp4

08:34

9 - Math operations precedence variables assignment Exercises Questions.mp4

09:07

9 - Variables-Precedence-math-operations-Question-Answers.zip

10 - Math operations precedence variables assignment Exercises Solutions 1.mp4

11:56

11 - Math operations precedence variables assignment Exercises Solutions 2.mp4

15:21

12 - Print Operation.mp4

09:15

13 - Get User Input.mp4

11:20

14 - Print and Get User input Exercises Questions.mp4

05:42

14 - Print-and-Get-User-Input-Questions-Answers.zip

15 - Print and Get User input Exercises Solutions Part 1.mp4

07:45

16 - Print and Get User input Exercises Solutions Part 2.mp4

11:30

17 - Strings Concept.mp4

10:50

18 - Strings Exercises Questions.mp4

05:29

18 - Strings-Questions-Answers.zip

19 - Strings Exercises Solutions Part 1.mp4

12:06

20 - Strings Exercises Solutions Part 2.mp4

15:44

21 - Lists Concept.mp4

15:53

22 - Lists Exercises Questions.mp4

04:25

22 - Lists-Questions-Answers.zip

23 - Lists Exercises Solutions Part 1.mp4

09:02

24 - Lists Exercises Solutions Part 2.mp4

06:17

25 - Dictionaries and Booleans Concept.mp4

12:45

26 - Dictionaries and Booleans Exercises Questions.mp4

04:20

26 - Dictionaries-and-Booleans-Questions-Answers.zip

27 - Dictionaries and Booleans Exercises Solutions Part 1.mp4

10:27

28 - Dictionaries and Booleans Exercises Solutions Part 2.mp4

12:32

29 - Dictionaries and Booleans Exercises Solutions Part 3.mp4

07:16

30 - Tuples and Sets Concept.mp4

08:22

31 - Tuples and Sets Exercises Questions.mp4

03:26

31 - Tuples-and-Sets-Questions-Answers.zip

32 - Tuples and Sets Exercises Solutions.mp4

14:29

33 - Get the Materials.html

2 - BEGINNER PYTHON FUNDAMENTALS PART B

34 - Comparison Operators Concept.mp4

09:19

34 - Conditional-Statements-Questions-Answers.zip

35 - Logical Operators Concept.mp4

10:03

36 - Conditional Statements Concept.mp4

15:07

37 - Conditional Statements logical and Comparison Operators Exercises Overview.mp4

06:18

38 - Conditional Statements logical and Comparison Operators Exercises Solutions1.mp4

05:01

39 - Conditional Statements logical and Comparison Operators Exercises Solutions2.mp4

11:44

40 - Conditional Statements logical and Comparison Operators Exercises Solutions3.mp4

07:35

41 - Conditional Statements logical and Comparison Operators Exercises Solutions4.mp4

08:45

42 - Loops For Loops Concept.mp4

16:18

42 - Loops-Questions-Answers.zip

43 - Loops enumerate.mp4

05:50

44 - Loops range.mp4

09:20

45 - Loops Break and Continue.mp4

07:14

46 - Loops Nested Loops.mp4

09:23

47 - Loops List Comprehension.mp4

14:37

48 - Loops While Loops.mp4

08:10

49 - Loops Exercises Questions Overview.mp4

10:11

50 - Loops Exercises Solutions part 1.mp4

07:54

51 - Loops Exercises Solutions part 2.mp4

10:32

52 - Loops Exercises Solutions part 3.mp4

14:52

53 - Loops Exercises Solutions part 4.mp4

18:35

54 - Loops Exercises Solutions part 5.mp4

12:48

55 - Functions Concept.mp4

14:26

55 - Functions-Questions-Answers.zip

56 - Functions Built in functions.mp4

10:00

57 - Functions lambda Expressions.mp4

06:11

58 - Functions Map.mp4

08:35

59 - Functions Filter.mp4

05:42

60 - Functions Exercises Questions Overview.mp4

06:34

61 - Functions Exercises Solutions Part 1.mp4

13:00

62 - Functions Exercises Solutions Part 2.mp4

10:41

63 - Functions Exercises Solutions Part 3.mp4

12:36

64 - Functions Exercises Solutions Part 4.mp4

10:10

65 - Files Concept Part 1.mp4

06:50

65 - Files-Questions-Answers.zip

66 - Files Concept Part 2.mp4

05:10

67 - Files Concept Part 3.mp4

07:46

68 - Files Exercises Questions Overview.mp4

05:47

69 - Files Exercises Solutions Part 1.mp4

10:52

70 - Files Exercises Solutions Part 2.mp4

12:22

71 - Files Exercises Solutions Part 3.mp4

09:02

3 - BEGINNER PYTHON FUNDAMENTALS Part C

72 - Numpy Basics Part 1.mp4

09:59

72 - Topic-1-Numpy.zip

73 - Numpy Basics Part 2.mp4

13:38

74 - Pandas Part 1.mp4

11:21

74 - Topic-2-Pandas.zip

75 - Pandas Part 2.mp4

10:50

76 - Matplotlib Part 1.mp4

08:19

76 - Topic-3-Matplotlib.zip

77 - Matplotlib Part 2.mp4

17:41

78 - Matplotlib Part 3.mp4

12:38

79 - Seaborn.mp4

12:11

79 - Topic-4-Seaborn.zip

4 - PRACTICAL PROJECTS IN PYTHON

80 - 1.Guessing-Game.zip

80 - Project 1 Build a Guessing Game.mp4

08:40

81 - 2.Cartoon-Effect.zip

81 - Project 2 Draw Cartoon of Images Using OpenCV Part A.mp4

06:43

82 - Project 2 Draw Cartoon of Images Using OpenCV Part B.mp4

14:09

83 - 3.Fortune-Teller-Game.zip

83 - Project 3 Build a Fortune Teller Game.mp4

09:23

84 - 4.Detect-lane-lines-in-camera-images.zip

84 - Project 4 Detect Lane Lines for Selfdriving Cars Part A.mp4

06:13

85 - Project 4 Detect Lane Lines for Selfdriving Cars Part B.mp4

14:21

86 - 5.Get-your-Zodiac-Sign.zip

86 - Project 5 Build your Zodiac Sign Application.mp4

07:04

87 - 6.Tic-Tac-Toe-Game.zip

87 - Project 6 Build a TicTacToe Game.mp4

14:32

88 - 7.Create-a-sketch-of-you-Using-webcam.zip

88 - Project 7 Draw a Sketch of your Face Using the WebCam.mp4

09:19

89 - 8.Analyzing-Amazon-Reviews.zip

89 - Project 8 Amazon Alexa Reviews Analysis Part 1 Project Overview.mp4

07:22

90 - Project 8 Amazon Alexa Reviews Analysis Part 2 Importing data.mp4

09:30

91 - Project 8 Amazon Alexa Reviews Analysis Part 3 Data Visualization.mp4

12:10

92 - Project 8 Amazon Alexa Reviews Analysis Part 4 Word Cloud.mp4

09:37

93 - Project 8 Amazon Alexa Reviews Analysis Part 5 Feature Engineering.mp4

19:32

94 - 9.Develop-a-Daily-Planner.zip

94 - Project 9 Build a Daily Planner Part 1.mp4

09:50

95 - Project 9 Build a Daily Planner Part 2.mp4

08:06

96 - Project 9 Build a Daily Planner Part 3.mp4

10:32

97 - 10.Predict-Avocado-Prices.zip

97 - Project 10 Predict Future Avocado Prices Using Facebook Prophet Part 1.mp4

09:03

98 - Project 10 Predict Future Avocado Prices Using Facebook Prophet Part 2.mp4

14:07

99 - Project 10 Predict Future Avocado Prices Using Facebook Prophet Part 3.mp4

09:52

100 - Project 10 Predict Future Avocado Prices Using Facebook Prophet Part 4.mp4

05:28

101 - Project 10 Predict Future Avocado Prices Using Facebook Prophet Part 5.mp4

06:14

102 - 11.Manipulate-PDF-Files.zip

102 - Project 11 Manipulate PDF Files Part 1.mp4

15:21

103 - Project 11 Manipulate PDF Files Part 2.mp4

08:54

104 - Project 11 Manipulate PDF Files Part 3.mp4

07:50

105 - Project 11 Manipulate PDF Files Part 4.mp4

08:10

106 - Project 11 Manipulate PDF Files Part 5.mp4

11:46

107 - 12.Detect-Faces-and-Eyes.zip

107 - Project 12 Detect Faces and Eyes in Images Part 1.mp4

13:06

108 - Project 12 Detect Faces and Eyes in Images Part 2.mp4

21:08

109 - Project 12 Detect Faces and Eyes in Images Part 3.mp4

14:08

110 - Project 12 Detect Faces and Eyes in Images Part 4.mp4

13:23

5 - MACHINE LEARNING IN PYTHON

111 - 5.Machine-Learning-in-Python.zip

111 - Download Machine Learning Course Package.html

112 - Introduction to Artificial Intelligence and Machine Learning.mp4

11:04

113 - Supervised Unsupervised and Reinforcement Learning.mp4

08:57

114 - Deep Learning and Big Picture.mp4

07:00

115 - Case Study 1 Introduction to Linear Regression.mp4

09:08

116 - Case Study 1 Least Sum of Squares.mp4

10:01

117 - Case Study 1 Problem Statement and Data Importing.mp4

10:12

118 - Case Study 1 Data Visualization and Data Splitting.mp4

13:54

119 - Case Study 1 Model Training.mp4

08:04

120 - Case Study 1 Model Testing and Evaluation.mp4

11:02

121 - Case Study 2 Business Case and Problem Statement.mp4

02:50

122 - Case Study 2 Problem in Machine Learning Vocabulary.mp4

07:14

123 - Case Study 2 Data Visualization.mp4

16:57

124 - Case Study 2 Model Training.mp4

08:06

125 - Case Study 2 Model Evaluation.mp4

10:13

126 - Case Study 2 Improving the Model.mp4

21:59

127 - Case Study 2 Conclusion.mp4

02:46

128 - Case Study 3 Introduction.mp4

09:44

129 - Case Study 3 Artificial Neural Networks Basics.mp4

06:49

130 - Case Study 3 Convolution Neural Network CNN Overview.mp4

04:49

131 - Case study 3 Convolution Operation in Action.mp4

12:34

132 - Case Study 3 Rectified Linear Units RELU.mp4

05:33

133 - Case Study 3 Max Pooling and Downsampling.mp4

12:55

134 - Case Study 3 Regularization and Dropouts.mp4

04:05

135 - Case Study 3 Coding Part 1 Problem Statement and Data Import.mp4

09:56

136 - Case Study 3 Data Visualization.mp4

11:23

137 - Case Study 3 CNN Model Building.mp4

12:58

138 - Case Study 3 CNN Model Training.mp4

06:59

139 - Case Study 3 CNN Model Evaluation Part 1.mp4

12:28

140 - Case Study 3 CNN Model Evaluation Part 2.mp4

05:41

6 - Bonus Lectures

141 - YOUR SPECIAL BONUS.html

Description

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

Who is this for?

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

What You Need to Know?

Access to a computer with an internet connection.

Computer. Mac OS, Windows or Linux.

No previous experience with Python or coding is required.

More details

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.

â€œPython Beginner to Pro Masterclassâ€ 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) Â Â Easy to learn: Python is the easiest programming language to learn. In fact, at the end of this single course, youâ€™ll be able to master Python and its applications regardless of your previous experience with programming.
(2) Â Â High Salary: Did you know that the average Python programmer in the U.S. makes approximately $116 thousand dollars a year? With â€œPython 3 Beginning to Pro Masterclassâ€ youâ€™re setting yourself for up for increased earning potential that can only rise from here.
(3) Â Â Scalability: Itâ€™s true, Python is easy to learn. But itâ€™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) Â Â Versatility: Whatâ€™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) Â Â Future-proof Career: Â The high demand and low supply of Python developers make it the ideal programming language to learn today. Whether youâ€™re eyeing a career in machine learning or artificial intelligence, learning Python is an invaluable investment in your career.

Who this course is for:
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

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Dr. Ryan Ahmed, Ph.D., MBA

Instructor's Courses

Dr. Ryan Ahmed is a professor and best-selling online instructor who is passionate about education and technology. Ryan has extensive experience in both Technology and Finance. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster* University with focus on Mechatronics and Electric Vehicles. He also received a Master of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business.Ryan held several engineering positions at Fortune 500 companies globally such as Samsung America and Fiat-Chrysler Automobiles (FCA) Canada. He has taught 46+ courses on Science, Technology, Engineering and Mathematics to over 300,000+ students from 160 countries with 11,000+ 5 stars reviews and overall rating of 4.5/5. Ryan also leads a YouTube Channel titled “Professor Ryan” (~1M views & 22,000+ subscribers) that teaches people about Artificial Intelligence, Machine Learning, and Data Science.Ryan has over 33 published journal and conference research papers on artificial intelligence, machine learning, state estimation, battery modeling and EV controls. He is the co-recipient of the best paper award at the IEEE Transportation Electrification Conference and Expo (iTEC 2012) in Detroit, MI, USA. Ryan is a Stanford Certified Project Manager (SCPM), certified Professional Engineer (P.Eng.) in Ontario, a member of the Society of Automotive Engineers (SAE), and a member of the Institute of Electrical and Electronics Engineers (IEEE). He is also the program Co-Chair at the 2017 IEEE Transportation and Electrification Conference (iTEC’17) in Chicago, IL, USA.* McMaster University is one of only four Canadian universities consistently ranked in the top 100 in the world.

Mitchell Bouchard

Instructor's Courses

Mitch is a Canadian filmmaker from Harrow Ontario, Canada. In 2016 he graduated from Dakota State University with a B.S, in Computer Graphics specializing in Film and Cinematic Arts.Currently, Mitch operates as the Chairman of Red Cape Studios, Inc. where he continues his passion for filmmaking. He is also the Host of Red Cape Learning and Produces / Directs content for Red Cape Films. He has reached over 520,000 + Students on Udemy and Produced more than 3X Best-Selling Courses.Mitch is currently working Producing Online Educational Courses thru Red Cape Studios Inc. Winning several awards at Dakota State University such as "1st Place BeadleMania", "Winner College 10th Anniversary Dordt Film Festival" as well as "Outstanding Artist Award College of Arts and Sciences".Mitch has been Featured on CBC's "Windsors Shorts" Tv Show and was also the Producer/Director for TEDX Windsor, featuring speakers from across the Country.

Ligency I Team

Instructor's Courses

Hi there,We are the Ligency team. You will be hearing from us when new Ligency courses are released, when we publish new podcasts, blogs, share cheatsheets and more!We are here to help you stay on the cutting edge of Data Science and Technology. See you in class,Sincerely,Ligency Team!

Ligency Team

Instructor's Courses

Hi there,We are the Ligency PR and Marketing team. You will be hearing from us when new courses are released, when we publish new podcasts, blogs, share cheatsheets and more!We are here to help you stay on the cutting edge of Data Science and Technology.See you in class,Sincerely,The Real People at Ligency

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