Python Programming for Developers

Name: Python Programming for Developers
Price: 9 USD
Availability: InStock

11h 14m 25s

English

Paid

April 18, 2024

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.

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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#	Title	Duration
1	1- What is Python	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