2.43 GB | 11min 22s | mp4 | 1920X1080 | 16:9
1 Installing Python and Setting Up The Development Environment (IDEText Editor).mp4 (31.83 MB)
3 Data Types Integers, Floats, Strings, Booleans.mp4 (63.27 MB)
4 Operators Arithmetic, Comparison, Logical.mp4 (91.71 MB)
5 Conditional Statements (if, elif, else).mp4 (59.18 MB)
6 Loops (for, while).mp4 (28.64 MB)
7 Break and Continue Statements.mp4 (44.51 MB)
8 Creating Lists, Accessing Elements, List Methods (append, insert, remove, etc).mp4 (73.31 MB)
9 Creating Tuples, Accessing Elements, Tuple Methods.mp4 (63.54 MB)
10 Creating Dictionaries, Accessing Values, Dictionary Methods.mp4 (105.78 MB)
11 Creating Sets, Set Operations (union, intersection, difference).mp4 (64.45 MB)
12 Function Parameters and Arguments.mp4 (73.36 MB)
13 Return Values.mp4 (74.41 MB)
15 Importing Modules.mp4 (78.69 MB)
16 Using The pip Package Manager.mp4 (35.89 MB)
17 Classes and Objects.mp4 (91.93 MB)
18 Attributes and Methods.mp4 (68.68 MB)
19 Inheritance, Polymorphism, Encapsulation.mp4 (109.05 MB)
20 Creating and Instantiating Objects.mp4 (40.09 MB)
21 Accessing and Modifying Object Attributes.mp4 (63.21 MB)
22 Calling Object Methods.mp4 (56.18 MB)
23 Getting Input From The User Using input().mp4 (81.84 MB)
24 Opening and Closing Files.mp4 (62.98 MB)
25 Reading and Writing Data To Files.mp4 (52.05 MB)
26 Working With Different File Modes.mp4 (62.88 MB)
27 Popular Python Libraries (NumPy, Pandas, Matplotlib, requests).mp4 (120.02 MB)
28 Installing and Importing Libraries.mp4 (40.99 MB)
29 Working With NumPy Arrays.mp4 (93.53 MB)
30 Data Analysis With Pandas.mp4 (78.43 MB)
31 Data Visualization With Matplotlib.mp4 (67.96 MB)
32 Making API Calls With Requests.mp4 (96.61 MB)
33 Try-except Blocks.mp4 (67.41 MB)
34 Raising Exceptions.mp4 (53.06 MB)
35 Regular Expressions.mp4 (53.07 MB)
36 Connecting To Databases (eg, SQLite, MySQL).mp4 (85.02 MB)
37 Executing SQL Queries.mp4 (64.56 MB)
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