Python Tutorial for Beginners - Basic Python Programming for Data Science

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.

- Introduction to Python
- Features & Installation of Python
- Literals
- Datatypes & Identifiers
- Types of Assignment Statements
- Input & Output Functions
- Usage of MAP Function
- Keywords
- Operators & Precedence
- Decision Control Statements
- Iterative Control Statements
- Break and Continue
- List
- Tuples
- Strings
- Set
- Dictionary
- Functions
- Files