This course will help you learn python from scratch to advance with detailed hands-on on Anaconda Jupiter notebook.
All the topics needed for data science and machine learning will be covered in this course.
The following topics are covered in this course:
Python Basics - Variables, print functions
Basic Data Types in python
String operations in python
Data Types like List, Tuple, Set & Dictionary
Python Conditional Statements: If-Else
Looping statements: For loop, while loop, For-Else, etc
List, Tuple, Set & Dictionary Comprehensions
Python Functions
Lambda Functions
Iterable, Iterator, and Generator in python
File Handling in python
Exception Handling in Python
Logging in Python
Packages and Modules
Python OOPS (Object Oriented Programming) - Class & Object
Inheritance, Abstraction, Polymorphism & Encapsulation in python
Python connectivity to MySQL
Python connectivity to MongoDB
Python connectivity to SQLite
Map, Reduce, Filter & Zip functions in python
Python connectivity to Cassandra
Numpy
Pandas basics
Pandas Advanced
Visualization
and many more...
This course is all about practical use and hands-on python. It will focus on the implementation of python programming and will deliver theory concepts on a need basis. At the end of this course, you will become a confident Python developer.
This course is a prerequisite for my upcoming Machine Learning & Data Science course.
More about Python:
Python is a dynamic modern object-oriented programming language that is easy to learn and can be used to do a lot of things both big and small. Python is what is referred to as a high-level language. That means it is a language that is closer to humans than computers. It is also known as a general-purpose programming language due to its flexibility.
Python is object-oriented means it regards everything as an object. An object in the real world could be a person or a car.
Python is an interpreted language that does not need to be complied with for example java programming language.
It is interpreted and run on the fly at the same time.
Python has been used in a lot of places like in creating games, for statistical data and visualization, speech and face recognition.
What can Python do?
Python can be used on a server to create web applications.
Python can be used alongside software to create workflows.
Python can connect to database systems. It can also read and modify files.
Python can be used to handle big data and perform complex mathematics.
Python can be used for rapid prototyping, or for production-ready software development.
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 a 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. that does not need to be complied with for example java programming language.
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