Master Python and GitHub with Real World Projects

Focused View

Michael S Russell

23:20:49

54 View

1 - Introduction

1 - Promo.mp4

02:58

2 - Course Resources.html

2 - MASTER-PYTHON-GITHUB.zip

3 - Anaconda and Conda.mp4

02:59

4 - Anaconda Installation Windows Mac.mp4

03:58

5 - Anaconda Installation Ubuntu Linux.mp4

09:37

2 - Jupyter Pip and Virtual Environments

6 - Pip and Conda Windows Mac.mp4

06:33

7 - Virtual Environments Windows Mac.mp4

06:31

8 - Running Jupyter Windows Mac.mp4

02:39

9 - Pip and Conda Ubuntu Linux.mp4

06:26

10 - Virtual Environments Ubuntu Linux.mp4

05:44

11 - Running Jupyter Ubuntu Linux.mp4

03:22

12 - Jupyter Notebook Overview.mp4

11:40

13 - Jupyter Lab Overview.mp4

17:54

3 - Git and Github

14 - Section Overview.mp4

04:42

15 - Git Installation.mp4

03:20

16 - Git Commands.mp4

11:24

17 - Github and SSH Key.mp4

06:34

18 - Git Push and Pull.mp4

14:41

19 - Git Ignore.mp4

10:57

20 - Multiple SSH Keys Optional.mp4

11:32

21 - Git Branch and Merge.mp4

15:47

22 - Merge Conflict Local Part 1.mp4

12:50

23 - Merge Conflict Remote Part 2.mp4

11:00

24 - Git Clone and Forking.mp4

03:16

4 - PreProject for GitHub

25 - PreProject Overview.mp4

03:24

26 - Creating a READMEmd Profile Part 1.mp4

16:45

26 - PROFILE-README.txt

27 - Creating a READMEmd Profile Part 2.mp4

05:08

28 - Creating a READMEmd Project.mp4

07:18

5 - Fundamentals

29 - Section Overview.mp4

02:33

30 - Variables and Operators.mp4

13:44

31 - Strings and Formatting.mp4

15:47

32 - Indexing.mp4

09:38

6 - Data Structures

33 - Section Overview.mp4

00:56

34 - Lists.mp4

09:03

35 - Dictionaries.mp4

09:30

36 - Tuples.mp4

05:12

37 - Sets.mp4

07:12

38 - Builtin Functions.mp4

05:23

7 - Control Flow and Loops

39 - Section Overview.mp4

03:29

40 - Conditionals If Elif Else.mp4

19:59

41 - For Loops.mp4

14:58

42 - While Loops.mp4

11:12

43 - Break Pass Continue.mp4

06:08

8 - Project Guessing Game

44 - Project Overview.mp4

02:24

45 - Guessing Number.mp4

14:44

46 - HOMEWORK.html

9 - Comprehension

47 - Section Overview.mp4

02:44

48 - List Comprehension.mp4

07:04

49 - Dictionary Comprehension.mp4

12:21

10 - Import Modules

50 - Section Overview.mp4

03:03

51 - Random.mp4

11:16

52 - Context Manager Files.mp4

07:59

53 - OS.mp4

12:46

54 - Datetime.mp4

12:23

55 - CSV Data.mp4

10:42

56 - Pickle and JSON Data.mp4

08:04

11 - Project Calculate Languages

57 - Project Overview.mp4

03:26

58 - Calculating Language Percentages.mp4

16:06

59 - Data Visualization of Languages.mp4

11:55

60 - HOMEWORK.html

12 - Functions

7 - Functions Quiz.html

61 - Section Overview.mp4

03:58

62 - Functions.mp4

10:14

63 - Scope.mp4

05:44

64 - Lambda Expressions.mp4

05:48

65 - Args and Kwargs.mp4

08:01

13 - Tkinter GUI apps

8 - Tkinter GUI Quiz Part 1.html

66 - Section Overview.mp4

03:32

67 - Basics of Tkinter.mp4

14:57

68 - Inputs of Tkinter.mp4

20:01

69 - Managing Multiple Windows.mp4

11:09

70 - Handling Events with Bind.mp4

14:57

71 - Handling Images and Links.mp4

07:37

72 - Tabs and Frames.mp4

09:29

73 - Uploading Files List and Scrollbar.mp4

21:49

14 - Project GUI Python Editor app

74 - Project Overview.mp4

02:19

75 - Adding Navbar and Buttons.mp4

09:23

76 - Adding Text Areas.mp4

04:20

77 - Updating Edit Functions.mp4

05:22

78 - Adding Scroll bars.mp4

04:59

79 - Opening Python files.mp4

04:47

80 - Running Python files.mp4

06:25

81 - Saving Python files.mp4

03:30

82 - Find and Replace Text.mp4

12:05

83 - Package GUI app optional.mp4

08:29

84 - HOMEWORK.html

15 - Modules and Packages Creating Modules

11 - Tkinter GUI Quiz Part 2.html

85 - Section Overview.mp4

02:28

86 - Modules Part 1 name.mp4

09:39

87 - Modules Part 2 initpy.mp4

11:05

88 - Modules Part 3 package.mp4

04:10

89 - Modules Part 4 all.mp4

07:42

16 - Advanced Functions

90 - Section Overview.mp4

03:05

91 - Type Hinting.mp4

07:05

92 - Decorator Fundamentals.mp4

07:12

93 - Decorator Practical.mp4

11:43

94 - Generators.mp4

10:56

17 - CLI Apps

1 - CLI Test.html

95 - Section Overview.mp4

01:49

96 - CLI Part 1.mp4

26:52

97 - CLI Part 2.mp4

19:41

18 - CLI Encryption App

98 - Project Overview.mp4

04:54

99 - Creating ZipFiles.mp4

09:37

100 - Encrypting Zipfiles.mp4

07:44

101 - Decrypting ZipFiles.mp4

13:25

102 - Converting to a CLI app.mp4

10:56

103 - Password for EncryptDecrypt.mp4

12:15

104 - HOMEWORK.html

19 - Handle Errors

105 - Section Overview.mp4

02:09

106 - Try Except and Finally.mp4

09:12

20 - SQLite for Beginners

107 - Section Overview.mp4

02:13

108 - SQLite Installation Article.html

109 - Creating Database and Tables.mp4

11:42

110 - Inserting Invalid Data.mp4

11:58

111 - Inserting Data with Table Constraints.mp4

13:40

112 - CRUD Operations.mp4

04:16

113 - Joining Tables.mp4

19:13

114 - SQLite Queries.mp4

12:59

115 - Advanced SQLite Queries.mp4

15:38

116 - SQLite Cases.mp4

11:28

117 - Alter Add Rename and Drop.mp4

13:18

118 - SQLite Datetime Part 1.mp4

17:20

119 - SQLite Datetime Part 2.mp4

15:41

120 - Handling SQL Errors.mp4

12:53

21 - Project Basic ETL Extract Transform and Load with SQLite3

121 - Project Overview.mp4

04:20

122 - Create Authors Table.mp4

08:15

123 - Extracting Data.mp4

05:22

124 - Transforming Data.mp4

03:38

125 - Loading Data.mp4

10:02

126 - HOMEWORK.html

22 - Project Speech to Text App

127 - Project Overview.mp4

02:49

128 - Text to Speech.mp4

02:57

129 - Speech Recognition.mp4

10:45

130 - Comprehension for Calculating Total.mp4

11:23

131 - Saving Calculated Total.mp4

05:52

132 - Converting to Python Script.mp4

12:28

133 - HOMEWORK.html

23 - OOP Object Orientated Programming

134 - Section Overview.mp4

03:57

135 - Classes and init.mp4

20:34

136 - Inheritance.mp4

12:42

137 - Composition.mp4

09:28

138 - Special Methods.mp4

09:12

139 - Encapsulation.mp4

10:38

24 - Project Local Anagram Module

140 - Project Overview.mp4

04:14

141 - Anagram Logic.mp4

13:22

142 - Creating Anagram Class.mp4

16:03

143 - Creating a Local Module.mp4

13:37

144 - HOMEWORK.html

25 - Project PyPi

145 - Project Overview.mp4

03:40

146 - PyPI Set up Package Part 1.mp4

11:00

147 - PyPI Create Package Part 2.mp4

15:22

148 - HOMEWORK.html

26 - Project Advanced ETL Extract Load and Transform with SQLite3

149 - Project Overview.mp4

03:19

150 - Extracting Movie Data with Kaggle.mp4

05:14

151 - Columns with List Comprehension.mp4

09:14

152 - Loading Movie Data.mp4

12:43

153 - Transforming Movie Data.mp4

09:03

154 - ELT with OOP.mp4

20:24

155 - HOMEWORK.html

27 - Web Scraping

156 - Section Overview.mp4

04:15

157 - Web Scraping Locally.mp4

15:13

28 - Project Web Scraping UK National Lotto

158 - Project Overview.mp4

03:39

159 - Web Scraping Data Part 1.mp4

13:05

160 - Web Scraping Data Part 2.mp4

19:40

161 - Web Scraping Data Part 3.mp4

17:47

162 - HOMEWORK.html

Description

Create a Portfolio of 10 Python Projects on GitHub

What You'll Learn?

Master the fundamentals of Python
Understand data structures, loops, functions and generators
Learn Object Orientated Programming (OOP)
Master Git and Github to share your code on the internet
Create and publish Python packages you can share with the whole world
Learn how to web scrape websites
Build and deploy GUI apps
Speech to Text apps
Master SQL with SQLite
Build web apps with Flask
Create a portfolio of projects on your GitHub account

Who is this for?

Anyone new to programming

Anyone who comes from another programming background e.g. JavaScript.

What You Need to Know?

Internet connection

Ideally 5GB of space on computer for downloading and installing software packages

Participate in creating a GitHub and portfolio website

Willingness to learn

No programming experience required. Beginners are very welcome!

More details

Description
This course is designed to for:
complete beginners
intermediates
those from another programming background (e.g. JavaScript)
Throughout this course, you'll having a growing portfolio of Python apps and advance code that you've built and put on your personal GitHub account for the whole world to see!
Every time you complete a project, we'll push it to GitHub.
We'll cover the fundamentals of Python with lectures, projects, quizzes and coding exercises.
This includes:
Variables and operators
Data structures (lists, dictionaries, tuples, and sets)
Control flow, while loops and for loops
List comprehension and dictionary comprehension
Functions, scope, lambda expressions, and decorators
Handling errors
Python modules (csv, random, datetime, OS, pickle, JSON)
OOP (Object-Orientated Programming)
Completely master Git and GitHub for version control
PyPI for publishing Python modules
Beautiful Soup for Web scraping the internet
Speech to Text
GUI apps
CLI apps
SQLite3 for handling databases and tables
Encrypt and decryption
You'll build the following applications:
Create a guessing game app running in the command terminal (great for beginners)
Speech to text app to perform basic calculations.
Create a local anagram module.
Build and deploy GUI Python Editor app.
CLI app encrypting and decrypting zip files.
Create and deploy a Python package on the internet with PyPI.
Create an ETL (Extract, Transform, Load) process with SQLite3 for sorting book data.
Create an ELT (Extract, Load, Transform process with SQLite3 with real world movie data.
Data visualization of the number of lines of code for different files.
Web scraping the National Lotto, save the and display the results with data visualization.
I'll be on hand to help you with any questions or issues you may have.

Who this course is for:
Anyone new to programming
Anyone who comes from another programming background e.g. JavaScript.

User Reviews

Rating

average 0

Total votes0

Focused display

Hi, I'm Michael S. Russell. I've been coding in Python since 2016 during my MSc dissertation.I'm the founder of Holistic Coding, and the mission of my company for my students is to teach, inspire and most of all, enjoy learning new tech in a holistic and creative way.I look forward to seeing you in one of my courses.Remember, you never fail until you stop trying.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.