Right from lists, dictionaries to variables will be covered. Python consists of object oriented programming. I will try to cover as many topics as possible with live examples of some of my projects. I will start with variables then onwards I will take it slowly a notch higher and build the understanding over a period of few lectures. I will give some assignments and with consistent practice things will become clear.

Dictionaries consist of keys and values. For example 't' : 'array' so here t is the key and array is the value so that makes it easy to use it any code of python. I would like to give a small example of dash application which can be used for stock market prediction using LSTM i.e. a machine learning model. In case of dash we feed the LSTM model with test and train data and then on live server path i.e. 127.0.0.1:8050 the dash application is run. I will try to include this application in our future courses.

I will also cover conditional statements like if...else , for i in range(len(df): , while loops etc. Then I will cover operators , functions , some standard libraries etc. Also how to read a data frame for example df = pd.read_excel("Superstore.xls") so here df is the data frame and Superstore.xls is the file which is being read. Pandas as pd is the module used for reading the excel sheet.