Python for Software Engineering Bootcamp

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Maximilian Schallwig

40:36:26

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1 - Introduction Section

1 - Setting Up Your Coding Environment.mp4

06:38

2 - Installing Python.mp4

03:18

3 - Writing Your First Program.mp4

04:17

4 - Variables.mp4

07:08

5 - Strings.mp4

18:16

6 - Integers Floats and Type Casting.mp4

16:12

7 - Booleans and Boolean Operations.mp4

08:19

8 - None Types.mp4

02:40

9 - Lists.mp4

17:27

10 - Tuples.mp4

07:40

11 - Dictionaries.mp4

15:44

12 - Formatting Strings and Writing Comments.mp4

17:31

13 - If Statements In Python.mp4

14:17

14 - Elif and Else Statements In Python.mp4

18:51

15 - For Loops.mp4

18:43

16 - While Loops In Python.mp4

11:13

17 - Functions.mp4

17:43

18 - Function Parameters In Python.mp4

18:21

19 - Global Variables In Python.mp4

06:35

20 - File Handling.mp4

15:52

21 - Virtual Environments In Python.mp4

21:58

22 - Launching Your First Python Application.mp4

17:38

23 - Classes In Python.mp4

22:59

24 - Classes Inheritance In Python.mp4

14:42

25 - Decorators.mp4

21:49

26 - Generators.mp4

12:58

27 - JSON and Text Response.mp4

15:13

28 - Typing.mp4

26:43

29 - Response Models.mp4

25:32

30 - Expanded Field Information.mp4

19:29

31 - Path Parameters.mp4

13:20

32 - Request Bodies.mp4

22:32

33 - Query Parameters.mp4

26:57

34 - Put and Delete.mp4

13:18

35 - Docstrings.mp4

17:06

36 - Async Functions.mp4

20:23

37 - Directory Structure.mp4

31:18

38 - API Routers Continued.mp4

06:45

39 - Environment Variables.mp4

15:05

40 - HTTP Status Codes.mp4

11:32

41 - Exceptions.mp4

31:21

42 - Logging.mp4

14:24

43 - Logging Formatter.mp4

11:23

44 - Custom Exception Handlers.mp4

12:52

45 - Headers and Dependencies.mp4

26:05

2 - Testing

46 - Pytest Introduction.mp4

14:07

47 - Writing Your First Service Test.mp4

17:49

48 - Fixtures.mp4

25:34

49 - Integration Tests.mp4

29:13

50 - Testing for Exceptions.mp4

06:44

51 - Sending Requests in Python.mp4

19:59

52 - Sending Async Requests.mp4

10:59

53 - Testing Synchronous Requests.mp4

15:56

54 - Testing Async Requests.mp4

10:22

55 - Test Coverage.mp4

04:52

3 - Introduction to the Terminal Section

56 - Digital Ocean Setup.mp4

05:35

57 - SSH on Windows.mp4

14:46

58 - Connecting with SSH.mp4

05:32

59 - Basic Navigation.mp4

04:53

60 - Creating Folders.mp4

14:43

61 - Creating Files.mp4

10:32

62 - Removing Folders and Files.mp4

11:09

63 - Moving Renaming and Copying Files and Folders.mp4

06:39

64 - Environment Variables.mp4

13:11

65 - Piping and Redirecting.mp4

09:07

66 - Super User and Running Pythons Scripts.mp4

06:03

67 - Executables and Modifying Permissions.mp4

07:03

68 - Sending Requests.mp4

15:17

4 - Docker Section

69 - Docker Introduction.mp4

06:20

70 - Creating a Dockerfile.mp4

09:31

71 - Multistage Build.mp4

35:48

72 - Docker Compose.mp4

21:49

73 - Makefile.mp4

32:43

5 - SQL

74 - Introduction to Relational Databases.mp4

12:24

75 - Data Types and Schemas.mp4

15:23

76 - Mac Setting Up a Local PostgreSQL Server.mp4

17:38

77 - Windows Setting Up a Local PostgreSQL Server.mp4

03:29

78 - Mac SQL Editor Postico.mp4

04:37

79 - SQL Editor DataGrip.mp4

05:35

80 - SQL Editor CLI.mp4

01:23

81 - Creating and Removing a Database.mp4

06:04

82 - Creating Schemas.mp4

03:51

83 - Creating Tables.mp4

08:39

84 - Altering Tables.mp4

03:09

85 - Enumerated Types.mp4

04:54

86 - Inserting Values.mp4

07:00

87 - Running an SQL Script.mp4

06:23

88 - Reading Data.mp4

06:23

89 - Creating Tables Using Query Results.mp4

07:03

90 - Aliases and Ordering.mp4

06:31

91 - Conditional Filtering Direct Comparisons.mp4

13:44

92 - Conditional Filtering Grouped Comparisons.mp4

05:11

93 - Joining Conditionals.mp4

10:23

94 - Negating Conditionals.mp4

07:53

95 - Filtering Null Values.mp4

04:43

96 - Creating New Columns and Arithmetic.mp4

01:34

97 - Datatype Conversions.mp4

07:39

98 - Logic Statements.mp4

06:36

99 - Manipulating Strings.mp4

07:25

100 - String Positional Information.mp4

10:02

101 - String Subsets and Concatenations.mp4

08:04

102 - String Replacements.mp4

21:54

103 - Date and Time.mp4

09:38

104 - Date and Time Intervals.mp4

06:35

105 - Comments.mp4

07:40

106 - Aggregation Functions.mp4

06:53

107 - Grouping and Filtering Aggregations.mp4

06:57

108 - Inner Join.mp4

12:23

109 - Left Right and Outer Joins.mp4

18:52

110 - Self Joins.mp4

16:51

111 - Unions.mp4

09:08

112 - Subqueries.mp4

05:32

113 - Common Table Expression CTEs.mp4

09:05

114 - Window Functions and Aliases.mp4

10:09

115 - Row Numbers and Ranks.mp4

15:29

116 - Using Other Rows with Window Functions.mp4

06:17

117 - NTiles.mp4

11:10

118 - Understanding Query Performance.mp4

04:12

6 - Integrating Databases into Your App

119 - Adding Postgres to Your Docker Compose.mp4

03:50

120 - Creating Database Models in Python.mp4

14:40

121 - Database Migrations.mp4

38:18

122 - SQL Alchemy ORM.mp4

20:27

123 - Creating a Database Client.mp4

21:43

124 - Updating your Application to Read from the Database.mp4

25:49

125 - Database Inserts.mp4

11:37

126 - Database Updates.mp4

11:13

127 - Database Deletes.mp4

12:17

128 - Async Database Queries.mp4

06:50

129 - Async Updates.mp4

14:56

130 - Updating Unit Tests to Work with the Database.mp4

12:10

131 - Updating Integration Tests to Work with the Database.mp4

21:35

132 - SQLite for Testing.mp4

31:23

133 - Mocking.mp4

31:37

7 - Caching

134 - Redis Introduction.mp4

30:22

135 - Adding Caching to Your Application.mp4

20:01

136 - Redis Hash Introduction.mp4

04:24

137 - Redis Sets Introduction.mp4

28:09

138 - Adding Hash Caching to Pagination Endpoint.mp4

15:25

139 - Python Object Serialization.mp4

11:09

140 - Cache Flushing.mp4

11:07

141 - Data Compression.mp4

23:14

8 - Linting Section

142 - MyPy Configurations.mp4

12:04

143 - Import Sorting.mp4

04:09

144 - Automatic Code Formatting.mp4

08:17

145 - Additional Code Checking.mp4

06:13

9 - Github Section

146 - GitHub Credentials Setup.mp4

01:22

147 - GitHub Desktop Setup.mp4

04:07

148 - Cloning a Repository.mp4

14:10

149 - Pushing a Local Repository to GitHub.mp4

14:10

150 - Reverting and Squashing Commits.mp4

09:48

151 - GitHub Branches.mp4

07:49

152 - Pull Request.mp4

16:36

153 - Precommit Hooks.mp4

11:42

154 - GitHub CLI.mp4

22:27

155 - Tagged Release.mp4

21:58

156 - Reading Documentation.mp4

10:36

10 - Concurrent and Parallel Programming Section

157 - Threading Multiprocessing and Async Introduction.mp4

18:55

158 - Threading in Python.mp4

15:01

159 - Creating a Threading Class With Python.mp4

14:08

160 - Creating a Wikipedia Reader.mp4

16:26

161 - Creating a Yahoo Finance Reader.mp4

15:09

162 - Queues and Master Scheduler.mp4

21:57

163 - Creating a Postgres Worker.mp4

20:14

164 - Integrating the Postgres Worker.mp4

18:33

165 - Yaml File Introduction.mp4

30:57

166 - Creating a Yaml Reader.mp4

28:24

167 - Improving Your Wiki Worker.mp4

29:04

168 - Improving All Workers and Adding Monitoring.mp4

07:16

169 - Final Program CleanUp.mp4

12:08

170 - Locking.mp4

07:30

171 - Multiprocessing Introduction.mp4

07:38

172 - Multiprocessing Queues.mp4

10:42

173 - Multiprocessing Pool.mp4

04:08

174 - Multiprocessing Pool Map Multiple Arguments.mp4

04:48

175 - Multiprocessing Multiple Varying Arguments.mp4

04:48

176 - Multiprocessing Checking Elements in List in Certain Ranges.mp4

06:30

177 - Introduction to Writing Asynchronous Programs.mp4

12:13

178 - Asynchronous Tasks.mp4

12:13

179 - Async Gather Method.mp4

06:33

180 - Using Async Timeouts.mp4

07:42

181 - Creating Asynchronous For Loops.mp4

03:14

182 - Using Asynchronous Libraries.mp4

03:03

183 - The Async Wait Statement.mp4

10:31

184 - Combining Async and Multiprocessing.mp4

10:09

Description

Go from zero to software engineer

What You'll Learn?

How to write proper and clean Python code
How to develop APIs in Python
Skills required to work as a software engineer
How to properly test your code
How to write scalable applications
How to interact with databases in code
How to add caching to your code
How to use GitHub to automatically test and deploy code
How to use Docker to build containerised applications

Who is this for?

Complete beginners who want to learn how to program and become a Software Engineer

No prior programming experience needed, you'll learning everything you'll need to know in the course

More details

Description
Software Engineers are one of the most in-demand positions in the modern world, and this demand will only increase as people and organizations continue to adopt technology and integrate it into their business processess.
In addition, Software Engineering provides lucrative and flexible job positions, with especially many remote work opportunities in the post-COVID error.
However, because of this, Software Engineering positions can be extremely competitive to get, and often contain several rounds of intense interviews.

In this course you're going to go from no prior programming experience to having the technical skillset to work as a Software Engineer in tech. You're going to learn how to build, test, and APIs and web services, which form the foundation of most software engineer work, and you'll be learning all of this in Python, one of the worlds most popular and widely used programming languages.

However, what really sets this course apart is not just the content you'll learn, but also the depth you'll learn it in. You'll learn how to write properly structured, well tested, and production ready code that's not just suited for a hobby project, but will be at level that is expected in the professional world.

By the end of this course you'll feel comfortable with developing applications, have a portfolio item, and be ready to apply to Software Engineer positions and take on those technical interviews.
Who this course is for:
Complete beginners who want to learn how to program and become a Software Engineer
No prior programming experience needed, you'll learning everything you'll need to know in the course

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Hey there! My name is Max. And I’m a data loving, Dungeons & Dragons playing, Python programming dude.I’ve got a Bachelors in Physics and a Masters in Astrophysics. For the past 5 years, I’ve been working in the field of data - starting as a Data Scientist then becoming and working as a Data Engineer.I stumbled into the world of programming and data completely by accident — but the first time I coded a simple blackjack program in Python is the first time it really “clicked” for me.They say you know you truly love an activity if you reach a state of “flow”, and that is what programming does for me. Everything fades away and all that exists is me, some good tunes, those little lines of white text, and the agitating company of a bug or two or five.If I’m honest, these 3 decisions changed the path of my career (and probably my life) entirely:1. Deciding to finally learn Python at university, after 2 failed attempts in high school2. Tentatively venturing into the data world, which started with simply googling “what does a data scientist do”3. Committing to a data engineer pivot by learning about big data tools and infrastructure design to build scalable systems and pipelinesI could talk endlessly about data infrastructure, big data pipelines and my relentless and eternally raging fire for Python. Going into data gave me endless passion for my work & completely changed the trajectory of my life.I can’t wait to help you find and do the same.

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