The Complete Python Programming Course for Beginners

Name: The Complete Python Programming Course for Beginners
Price: 9 USD
Availability: InStock

11h 56m 40s

English

Paid

April 11, 2024

Python is the most popular programming language in the world. It's used by big companies like Google, Facebook, Dropbox, Reddit, Spotify, Quora, etc. Mathematicians, scientists, engineers and developers love it because of its simple and elegant syntax. It's the #1 language for AI and machine learning, and the ideal language to learn for beginners. Much easier than C++ or JavaScript! This course teaches you everything Python has to offer from the basics to more advanced topics.

A perfect mix of theory and practice, packed with real-world examples, exercises and step-by-step solutions - free of "fluff" and lengthy description!

By the end of this course…

You’ll be able to:

Write Python code with confidence
Get ready to learn web development and machine learning with Python
Build command-line utilities
Automate boring, repetitive tasks
Write clean code like a pro

What You'l Learn...

Along with all the programming fundamentals, you’ll learn how to...

Use essential Python data structures
Use classes and modules
Apply object-oriented programming principles
Work with exceptions
Build web scraping tools
Use 3rd-party Python packages and publish your own
Work with files and directories
Work with CSV, JSON, Excel spreadsheets, PDFs, ZIP files, etc
Send emails and text messages
Automate UI testing with Selenium
Call backend APIs
Basics of building web apps with Python and Django
Use Python in machine learning and data science projects
And much, much more!

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#	Title	Duration
1	1- What is Python	03:22
2	2- Installing Python	01:53
3	3- Python Interpreter	01:56
4	4- Code Editors	01:20
5	5- Your First Python Program	03:37
6	6- Python Extension	02:53
7	7- Linting Python Code	04:15
8	8- Formatting Python Code	03:55
9	9- Running Python Code	03:00
10	10- Python Implementations	02:29
11	11- How Python Code is Executed	02:47
12	12- Quiz	01:38
13	1- Variables	03:05
14	2- Variable Names	03:04
15	3- Strings	05:31
16	4- Escape Sequences	02:41
17	5- Formatted Strings	02:09
18	6- String Methods	05:55
19	7- Numbers	02:47
20	8- Working with Numbers	02:10
21	9- Type Conversion	05:05
22	10- Quiz	02:44
23	1- Comparison Operators	02:05
24	2- Conditional Statements	04:10
25	3- Ternary Operator	02:10
26	4- Logical Operators	04:03
27	5- Short-circuit Evaluation	02:07
28	6- Chaining Comparison Operators	01:23
29	7- Quiz	01:44
30	8- For Loops	03:39
31	9- For..Else	02:47
32	10- Nested Loops	02:45
33	11- Iterables	03:09
34	12- While Loops	05:00
35	13- Infinite Loops	01:38
36	14- Exercise	02:06
37	1- Defining Functions	02:25
38	2- Arguments	02:21
39	3- Types of Functions	04:03
40	4- Keyword Arguments	02:01
41	5- Default Arguments	01:36
42	6- xargs	04:16
43	7- xxargs	02:21
44	8- Scope	05:10
45	9- Debugging	06:51
46	10- VSCode Coding Tricks - Windows	02:22
47	11- VSCode Coding Tricks - Mac	01:50
48	12- Exercise	01:30
49	13- Solution	04:42
50	1- Lists	03:55
51	2- Accessing Items	03:14
52	3- List Unpacking	03:52
53	4- Looping over Lists	02:55
54	5- Adding or Removing Items	02:57
55	6- Finding Items	01:29
56	7- Sorting Lists	04:36
57	8- Lambda Functions	01:50
58	9- Map Function	03:26
59	10- Filter Function	02:06
60	11- List Comprehensions	03:11
61	12- Zip Function	01:50
62	13- Stacks	04:25
63	14- Queues	02:51
64	15- Tuples	04:03
65	16- Swapping Variables	02:38
66	17- Arrays	03:12
67	18- Sets	04:04
68	19- Dictionaries	05:25
69	20- Dictionary Comprehensions	03:20
70	21- Generator Expressions	03:52
71	22- Unpacking Operator	04:06
72	23- Exercise	06:22
73	1- Exceptions	02:17
74	2- Handling Exceptions	04:11
75	3- Handling Different Exceptions	03:06
76	4- Cleaning Up	01:58
77	5- The With Statement	03:08
78	6- Raising Exceptions	03:22
79	7- Cost of Raising Exceptions	04:42
80	1- Classes	02:36
81	2- Creating Classes	03:46
82	3- Constructors	04:38
83	4- Class vs Instance Attributes	03:59
84	5- Class vs Instance Methods	04:06
85	6- Magic Methods	03:14
86	7- Comparing Objects	03:12
87	8- Performing Arithmetic Operations	01:32
88	9- Making Custom Containers	06:56
89	10- Private Members	03:41
90	11- Properties	07:31
91	12- Inheritance	04:24
92	13- The Object Class	02:24
93	14- Method Overriding	03:15
94	15- Multi-level Inheritance	02:43
95	16- Multiple Inheritance	03:23
96	17- A Good Example of Inheritance	04:32
97	18- Abstract Base Classes	04:51
98	19- Polymorphism	03:57
99	20- Duck Typing	02:51
100	21- Extending Built-in Types	02:27
101	22- Data Classes	04:37
102	1- Creating Modules	04:17
103	2- Compiled Python Files	02:20
104	3- Module Search Path	01:36
105	4- Packages	02:28
106	5- Sub-packages	01:02
107	6- Intra-package References	01:37
108	7- The dir Function	01:40
109	8- Executing Modules as Scripts	02:56
110	1- Python Standard Library	00:52
111	2- Working With Paths	04:49
112	3- Working with Directories	04:15
113	4- Working with Files	04:00
114	5- Working with Zip Files	03:16
115	6- Working with CSV Files	04:51
116	7- Working with JSON Files	03:59
117	8- Working with a SQLite Database	09:11
118	9- Working with Timestamps	02:25
119	10- Working with DateTimes	05:06
120	11- Working with Time Deltas	02:42
121	12- Generating Random Values	04:10
122	13- Opening the Browser	01:13
123	14- Sending Emails	06:49
124	15- Templates	04:54
125	16- Command-line Arguments	01:55
126	17- Running External Programs	08:07
127	1- Pypi	01:50
128	2- Pip	06:24
129	3- Virtual Environments	04:05
130	4- Pipenv	03:41
131	5- Virtual Environments in VSCode	03:50
132	6- Pipfile	04:49
133	7- Managing Dependencies	03:29
134	8- Publishing Packages	08:24
135	9- Docstrings	05:49
136	10- Pydoc	04:07
137	1- Introduction	01:42
138	2- What are APIs	02:37
139	3- Yelp API	02:52
140	4- Searching for Businesses	09:55
141	5- Hiding API Key	02:06
142	6- Sending Text Messages	06:03
143	7- Web Scraping	09:07
144	8- Browser Automation	11:29
145	9- Working with PDFs	06:19
146	10- Working with Excel Spreadsheets	09:53
147	11- Command Query Separation Principle	04:40
148	12- NumPy	09:07
149	1- Introduction	01:44
150	2- Your First Django Project	04:12
151	3- Your First App	03:42
152	4- Views	08:00
153	5- Models	04:58
154	6- Migrations	08:01
155	7- Changing the Models	05:39
156	8- Admin	04:30
157	9- Customizing the Admin	06:56
158	10- Database Abstraction API	03:53
159	11- Templates	10:24
160	12- Adding Bootstrap	04:20
161	13- Customizing the Layout	02:25
162	14- Sharing a Template Across Multiple Apps	03:49
163	15- Url Parameters	04:38
164	16- Getting a Single Object	03:49
165	17- Raising 404 Errors	03:52
166	18- Referencing Urls	03:48
167	19- Creating APIs	09:27
168	20- Adding the Homepage	04:28
169	21- Getting Ready to Deploy	09:45
170	22- Deployment	08:00
171	1- What is Machine Learning	01:59
172	2- Machine Learning in Action	02:48
173	3- Libraries and Tools	04:55
174	4- Importing a Data Set	06:22
175	5- Jupyter Shortcuts	05:27
176	6- A Real Machine Learning Problem	03:18
177	7- Preparing the Data	03:06
178	8- Learning and Predicting	04:05
179	9- Calculating the Accuracy	06:22
180	10- Persisting Models	03:15
181	11- Visualizing a Decision Tree	06:27

The Complete Python Programming Course for Beginners

Watch Online The Complete Python Programming Course for Beginners

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