Folder Structure and How to Run Code Files

In this course, you have learned how to install and import Python packages, import the data from web sources and CSV files. You have also learned functions, data structure and data visualisation in Python. You have learned about Python libraries named Pandas and NumPy and created buy and hold strategy in Python.

In this folder, you will find the data files, code files and necessary information needed to run the code files successfully.

Before you start running the files on your local machine, please check whether your local machine is set up correctly.

You can go through the steps in the ReadMe.html file to set up the python environment for running Quantra code files.

How to run the code files provided in the zip file?

For an in-depth explanation of how to run the python codes included in the zip files, you can head to the link here.

List of files available to you

The zipped folder contains nine subfolders divided based on the course sections and one data folder that stores the data required to run them.

data_modules

infy.csv
infy_data.csv
infy_data_bb.csv
infy_dv.csv
infy_twoweeks.csv
infy_twoweeks_nan.csv
nifty_data.csv
candlestick_data.csv
tcs.csv
stocks_data_2010_2020.csv

Hello Python

My First Python Code.ipynb
Import Python Modules.ipynb
Install Packages in Python.ipynb

Expressions

Use of Expressions.ipynb

Python Data Structures

Learn to Create Lists.ipynb
What Are Stacks, Queues, Graphs & Trees.ipynb
Learn to Create and Print Dictionaries.pynb
Learn to Create Tuples and Sets.ipynb

Importing Data and Data Visualisation

Import Data from Web Sources.ipynb
Read Data from CSV Files.ipynb
Data Visualization.ipynb
3D Plotting.ipynb
Candlesticks (Optional Read).ipynb

Functions

Functions.ipynb
Lambda.ipynb

Numpy

Introduction to Arrays.ipynb
Indexing & Slicing Arrays.ipynb
Vectorization & Broadcasting in Arrays.ipynb

Pandas

Introduction to Series.ipynb
DataFrame & Basic Functionality.ipynb
Descriptive Statistical Function.ipynb
Indexing & Missing Values.ipynb
Grouping and Reshaping.ipynb

Conditional Statements and Loops

Introduction to Conditional Statements.ipynb
Introduction to Loops.ipynb

Buy and Hold Strategy

Buy and Hold Strategy.ipynb

If you are new to Jupyter notebook, want to learn the structure or need help to run the files, then refer to the article Jupyter Notebook Tutorial: Installation, Components and Magic Commands for detailed steps.