Главная
Study mode:
on
1
- Introduction to Python
2
- Features & Installation of Python
3
- Literals
4
- Datatypes & Identifiers
5
- Types of Assignment Statements
6
- Input & Output Functions
7
- Usage of MAP Function
8
- Keywords
9
- Operators & Precedence
10
- Decision Control Statements
11
- Iterative Control Statements
12
- Break and Continue
13
- List
14
- Tuples
15
- Strings
16
- Set
17
- Dictionary
18
- Functions
19
- Files
Description:
Embark on a comprehensive 11-hour Python programming journey designed for beginners and aspiring data scientists. Learn essential concepts from the ground up, starting with Python installation and progressing through fundamental topics such as literals, data types, operators, control statements, and various data structures including lists, tuples, strings, sets, and dictionaries. Master input/output functions, explore the MAP function, and delve into keywords and operator precedence. Gain proficiency in decision-making and iterative control structures, understand break and continue statements, and develop skills in working with functions and file handling. Access additional resources for advanced topics like NumPy, Pandas, and Matplotlib libraries, as well as database connectivity with MySQL and MS-Excel.

Python Tutorial for Beginners - Basic Python Programming for Data Science

Sundeep Saradhi Kanthety
Add to list
0:00 / 0:00