Python Programming for Developers
11h 14m 25s
English
Paid
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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# | 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 |
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