Python Programming for Developers

11h 14m 25s
English
Paid

Course description

Finally, a Python course that doesn’t insult your intelligence and assume you know nothing. Let’s face it, you know what a variable and function are - you don’t need me to tell you! That’s why this course is designed to be different. It’s a specialist crash course for developers that gets you up-to-speed in no time.

Read more about the course

Why Learn Python?

  • Boost your existing skills - growing demand for Python developers
  • It's versatile - Mathematicians, scientists and engineers use it for various applications
  • Easier to master than languages such as C, C++, JavaScript, etc.
  • Universities teach it – both in computer science and other courses
  • Big companies use it – Google, Facebook, Dropbox, Reddit, Spotify, Quora, etc.
  • Runs cross-platform – Python apps work on Windows, Mac, Linux

What can you do with Python?

  • Scripting – easily automate repetitive tasks e.g. web crawling, sending emails…
  • App backends – use Python frameworks to build app backends fast with less code
  • AI & machine learning – number 1 language in this field – big library & data collection
  • Data analysis & visualization – perfect for today’s big data world
  • Computation & calculation – simple syntax & many powerful libraries – scientists, engineers, mathematicians can focus on creating algorithms, formulae, etc.
  • Desktop apps – Dropbox desktop app is written in Python! Need I say more?!
  • Education – Python is popular globally in schools, colleges, universities. It’s so simple that young kids can pick it up, but so powerful PHD students use it.


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#1: 1- What is Python

All Course Lessons (170)

#Lesson TitleDurationAccess
1
1- What is Python Demo
03:22
2
2- Installing Python
02:21
3
3- Code Editors
00:59
4
4- Your First Python Program
02:26
5
5- Python Extension
02:53
6
6- Linting Python Code
04:15
7
7- Formatting Python Code
03:55
8
8- Running Python Code
03:00
9
9- Python Implementations
02:29
10
10- How Python Code is Executed
02:47
11
11- Summary
00:22
12
1- Variables
02:05
13
2- Dynamic Typing
02:37
14
3- Type Annotation
01:51
15
4- Mutable and Immutable Types
02:59
16
5- Strings
04:12
17
6- Escape Sequences
03:20
18
7- Formatted Strings
02:09
19
8- Useful String Methods
03:21
20
9- Numbers
02:10
21
10- Arithmetic Operators
01:48
22
11- Working with Numbers
02:38
23
12- Type Conversion
04:23
24
13- Conditional Statements
03:25
25
14- Logical Operators
03:07
26
15- Ternary Operator
01:18
27
16- For Loops
04:09
28
17- For..Else
02:39
29
18- While Loops
01:48
30
19- Functions
04:42
31
20- Arguments- xargs
02:28
32
21- Arguments- xxargs
02:05
33
22- Scope
03:38
34
23- Debugging
03:33
35
24- VSCode Coding Tricks - Windows
02:22
36
25- VSCode Coding Tricks - Mac
01:50
37
26- Exercise
01:30
38
27- Solution
04:42
39
1- Lists
03:55
40
2- Accessing Items
03:14
41
3- List Unpacking
03:52
42
4- Looping over Lists
02:55
43
5- Adding or Removing Items
02:57
44
6- Finding Items
01:29
45
7- Sorting Lists
04:36
46
8- Lambda Functions
01:50
47
9- Map Function
03:26
48
10- Filter Function
02:06
49
11- List Comprehensions
03:11
50
12- Zip Function
01:50
51
13- Stacks
04:25
52
14- Queues
02:51
53
15- Tuples
04:03
54
16- Swapping Variables
02:38
55
17- Arrays
03:12
56
18- Sets
04:04
57
19- Dictionaries
05:25
58
20- Dictionary Comprehensions
03:20
59
21- Generator Expressions
03:52
60
22- Unpacking Operator
04:06
61
23- Exercise
06:22
62
1- Exceptions
02:17
63
2- Handling Exceptions
04:11
64
3- Handling Different Exceptions
03:06
65
4- Cleaning Up
01:58
66
5- The With Statement
03:08
67
6- Raising Exceptions
03:22
68
7- Cost of Raising Exceptions
04:42
69
1- Classes
02:36
70
2- Creating Classes
03:46
71
3- Constructors
04:38
72
4- Class vs Instance Attributes
03:59
73
5- Class vs Instance Methods
04:06
74
6- Magic Methods
03:14
75
7- Comparing Objects
03:12
76
8- Performing Arithmetic Operations
01:32
77
9- Making Custom Containers
06:56
78
10- Private Members
03:41
79
11- Properties
07:31
80
12- Inheritance
04:24
81
13- The Object Class
02:24
82
14- Method Overriding
03:15
83
15- Multi-level Inheritance
02:43
84
16- Multiple Inheritance
03:23
85
17- A Good Example of Inheritance
04:32
86
18- Abstract Base Classes
04:51
87
19- Polymorphism
03:57
88
20- Duck Typing
02:51
89
21- Extending Built-in Types
02:27
90
22- Data Classes
04:37
91
1- Creating Modules
04:17
92
2- Compiled Python Files
02:20
93
3- Module Search Path
01:36
94
4- Packages
02:28
95
5- Sub-packages
01:02
96
6- Intra-package References
01:37
97
7- The dir Function
01:40
98
8- Executing Modules as Scripts
02:56
99
1- Python Standard Library
00:52
100
2- Working With Paths
04:49
101
3- Working with Directories
04:15
102
4- Working with Files
04:00
103
5- Working with Zip Files
03:16
104
6- Working with CSV Files
04:51
105
7- Working with JSON Files
03:59
106
8- Working with a SQLite Database
09:11
107
9- Working with Timestamps
02:25
108
10- Working with DateTimes
05:06
109
11- Working with Time Deltas
02:42
110
12- Generating Random Values
04:10
111
13- Opening the Browser
01:13
112
14- Sending Emails
06:49
113
15- Templates
04:54
114
16- Command-line Arguments
01:55
115
17- Running External Programs
08:07
116
1- Pypi
01:50
117
2- Pip
06:24
118
3- Virtual Environments
04:05
119
4- Pipenv
03:41
120
5- Virtual Environments in VSCode
03:50
121
6- Pipfile
04:49
122
7- Managing Dependencies
03:29
123
8- Publishing Packages
08:24
124
9- Docstrings
05:49
125
10- Pydoc
04:07
126
1- Introduction
01:42
127
2- What are APIs
02:37
128
3- Yelp API
02:52
129
4- Searching for Businesses
09:55
130
5- Hiding API Keys
02:06
131
6- Sending Text Messages
06:03
132
7- Web Scraping
09:07
133
8- Browser Automation
11:29
134
9- Working with PDFs
06:19
135
10- Working with Excel Spreadsheets
09:53
136
11- Command Query Separation Principle
04:40
137
12- NumPy
09:07
138
1- Introduction
01:44
139
2- Your First Django Project
04:12
140
3- Your First App
03:42
141
4- Views
08:00
142
5- Models
04:58
143
6- Migrations
08:01
144
7- Changing the Models
05:39
145
8- Admin
04:30
146
9- Customizing the Admin
06:56
147
10- Database Abstraction API
03:53
148
11- Templates
10:24
149
12- Adding Bootstrap
04:20
150
13- Customizing the Layout
02:25
151
14- Sharing a Template Across Multiple Apps
03:49
152
15- Url Parameters
04:38
153
16- Getting a Single Object
03:49
154
17- Raising 404 Errors
03:52
155
18- Referencing Urls
03:48
156
19- Creating APIs
03:52
157
20- Adding the Homepage
09:27
158
21- Getting Ready to Deploy
04:28
159
22- Deployment
09:45
160
1- What is Machine Learning
08:00
161
2- Machine Learning in Action
01:59
162
3- Libraries and Tools
02:48
163
4- Importing a Data Set
04:55
164
5- Jupyter Shortcuts
06:22
165
6- A Real Machine Learning Problem
05:27
166
7- Preparing the Data
03:18
167
8- Learning and Predicting
03:06
168
9- Calculating the Accuracy
04:05
169
10- Persisting Models
06:22
170
11- Visualizing a Decision Tree
06:27

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