COURSE DESCRIPTION
Python is a general purpose language, used by data scientists and developers. . New data scientists can easily learn Python .Python is significant for data scientists since it has many useful and easy to use libraries like Pandas, Numpy, Scipy, Tensorflow, and many more. Python is much popular because it is highly productive as compared to other programming languages like C++ and Java. Python can be used for web and desktop applications, GUI-based desktop applications, machine learning, data science, and network servers.
We will cover all aspects of Python programming language with its all popular libraries.
COURSE OVERVIEW
CORE PYTHON
- Introduction to Python.
- Anaconda
- Identifiers
- Constants, Variable and Datatypes
- Operators in Python
- IF-ELIF-ELSE-ELIF
- LOOP
- Nested LOOP
- Break, Continue
- List
- Tuple
- String
- Array
- Method
- Package Installation
- Python NUMPY
ADVANCE PYTHON
- OOPS Concept
- Class
- Instance
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction
- Decorator
- Class methods and static methods
- getters, setters, and deletes
- Package
- Interface
- Exception Handling
- Thread
- File Handling
- Tinker (GUI Framework)
- Kivy
- Database( MYSQL , NoSQL – Cassandra, SQLite, MongoDB )
- Django
- Pandas (Basic)
- Pandas (Advance)
- Flask
- Dask
- Matplotlib
- Seaborn
- Plotly
- Cufflinks
- Bokeh
- Project
Course Features
- Lectures 0
- Quizzes 0
- Duration 5 Months (200+ hours)
- Skill level Beginner
- Language English/Hindi
- Students 0
- Certificate No
- Assessments Yes
