- INTRODUCING
- PYTHON BASICS
- DATA STRUCTURES
- FUNCTIONS AND MODULES
- DEFINING AND CALLING FUNCTIONS
- PARAMETERS AND RETURN VALUES
- VARIABLE SCOPE AND GLOBAL/LOCAL VARIABLES
- IMPORTING AND USING MODULES
- CREATING AND USING CUSTOM MODULES
- FILE HANDLING:
- OBJECT-ORIENTED PROGRAMMING (OOP)
- INTRODUCTION TO OOP CONCEPTS
- CLASSES, OBJECTS, AND ATTRIBUTES
- INHERITANCE AND POLYMORPHISM
- ENCAPSULATION AND DATA HIDING
- OVERLOADING AND OVERRIDING METHODS
- ERROR HANDLING
- UNDERSTANDING EXCEPTIONS AND ERRORS
- TRY-EXCEPT BLOCKS AND HANDLING EXCEPTIONS
- RAISING CUSTOM EXCEPTIONS
- PYTHON LIBRARIES
- INTRODUCTION TO POPULAR LIBRARIES LIKE NUMPY, PANDAS, AND MATPLOTLIB
- DATA MANIPULATION WITH NUMPY AND PANDAS
- DATA VISUALIZATION WITH MATPLOTLIB
- INTERFACING TO THE OS
- PROCESSSING INFORMATIONS
- WORKING WITH FILES
- DATA MANGEMENT AND STORAGE
- COMMUNICATION OVER A NETWORK
- PYTHON INTERVIEW
- BASICS OF PROGRAMING
- WHAT IS PROGRAMMING
- WHY WE NEED TO LEARN PROGRAMING
- BENEFITS OF LEARNING PROGRAMING
- SOME EXAMPLES OF PROGRAMING
- EXAMPLE OF BASIC CODING IN PYTHON PROGRAMING
- PYTHON INTRODUCTION
- COMMENTS IN PYTHON
- VARIABLE IN PYTHON
- DATA TYPES IN PYTHON
- NUMBERS IN PYTHON
- TYPE CASTING IN PYTHON
- STRING IN PYTHON
- BOOLEAN IN PYTHON
- OPERATORS IN PYTHON
- DATA STRUCTURE IN PYTHON
- CONDITIONAL STATEMENT IN PYTHON
- LOOPS IN PYTHON
- FUNCTION IN PYTHON
- LAMBDA IN PYTHON
- ARRAY IN PYTHON
- DATA STRUCTURE IN PYTHON
WHY PYTHON
Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
Python has a simple syntax similar to the English language.
Python has syntax that allows developers to write programs with fewer lines than some other programming languages.
Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.
Python can be treated in a procedural way, an object-oriented way or a functional way.