The Complete Python Programming Course for Beginners

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.

More

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

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