Python Ultimate Course
4.0
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49 learners
What you'll learn
This course includes
- 26.3 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 47 lessons • 26.3 hours of video
Python Ultimate Course
47 lessons
• 26.3 hours
Python Ultimate Course
47 lessons
• 26.3 hours
- Python Full Course for Beginners (13 Hours) – From Zero to Hero13:02:53
- What is Python (Visually Explained) | How It Works and How to Learn It | #Python Course 110:47
- How to Install Python and VS Code + BONUS Roadmap! (Step-by-Step) | #Python Course 214:11
- Python Comments: Visually Explained | #Python Course 305:20
- Python Print Function: Visually Explained | #Python Course 421:29
- Python Variables: Visually Explained | #Python Course 513:39
- Python Input Function: Visually Explained | #Python Course 609:16
- Python Data Types: Visually Explained | #Python Course 730:23
- Python String Functions Explained | Text Manipulation & Cleaning | #Python Course 801:14:37
- Python Numbers Mastery | Math Functions, Round & Random | #Python Course 928:51
- Python Control Flow: Visually Explained | #Python Course 1007:00
- Python Boolean Functions | bool, all, any, isinstance | #Python Course 1108:40
- Python Comparison Operators (Visually Explained) | #Python Course 1207:08
- Python Logical Operators (Visually Explained) | and, or, not, Execution Order | #Python Course 1317:55
- Python Membership & Identity Operators (Visually Explained) | IN & IS | #Python Course 1412:32
- Python If Elif Else Statements (Visually Explained) | #Python Course 1551:47
- Python If-Else One Line and Match-Case (Visually Explained) | #Python Course 1614:11
- Python For Loops (Visually Explained) | #Python Course 1723:53
- Python Break vs Continue vs Pass (Visually Explained) | Control Statements | #Python Course 1820:44
- Python For-Else Loop (Visually Explained) | Hidden Control Flow Trick | #Python Course 1917:09
- Python Nested Loops are Easy | A Must-Have Skill for Data Engineers | #Python Course 2016:43
- Python While Loops (Visually Explained) | For vs While Loops | #Python Course 2128:36
- Introduction to Data Structures in Python (Visually Explained) | #Python Course 2210:11
- How to Create a List in Python (Visually Explained) | #Python Course 2312:06
- How to Access Lists in Python (Indexing & Slicing Explained) | #Python Course 2416:51
- Python Unpacking (Visually Explained) | Asterisk * and Underscore _ | #Python Course 2517:59
- How to Explore & Analyze Lists in Python | #Python Course 2614:03
- How to Add, Remove, and Update Lists in Python (Visually Explained) | #Python Course 2723:18
- How to Order Lists in Python (Visually Explained) | sort(), sorted(), reverse() | #Python Course 2810:06
- How to Copy Python Lists Safely (Visually Explained) | Shallow Copy vs Deepcopy | #Python Course 2917:04
- How to Combine Lists in Python | 4 Simple Ways and ZIP Visually Explained | #Python Course 3010:08
- Python Iterator vs Iterable (Visually Explained) | enumerate, map, filter | #Python Course 3123:27
- Python Lambda Functions (Visually Explained) | #Python Course 3215:51
- Python List Comprehension (Visually Explained) | The Cleanest Way to Code | #Python Course 3309:44
- 30 Python List Operations in 5 Minutes | #Python Course 3406:01
- Python Tuples (Visually Explained) | #Python Course 3508:15
- Python Sets (Visually Explained) | #Python Course 3618:29
- Python Dictionaries (Visually Explained) | #Python Course 3727:24
- Python Data Structures: When to Use List, Tuple, Set, Dict | #Python Course 3803:54
- Python Functions Made Simple (Visual Explanation) | #Python Course 3918:12
- Python Parameters vs Arguments (Explained Visually) | #Python Course 4010:50
- Python Parameters vs Global vs Local Variables (Visual Explanation) | #Python Course 4110:47
- Python Positional vs Keyword Arguments Explained | Default Parameters | #Python Course 4212:15
- Python *Args and **Kwargs Finally Make Sense | #Python Course 4308:12
- Python Return Vs Print() (Visual Explanation) | #Python Course 4411:49
- Python Functions Types You Must Know (Action, Transform, Validate, Orchestrate) | #Python Course 4526:07
- 8 Python Function Habits That Make Your Code Clean and Professional | #Python Course 4614:51
