Khirod's Tech Blog

  Creating an HTML Table from a Pandas DataFrame      In this article, we’ll explore how to convert a Pandas DataFrame into an HTML table. This process is useful when you want to present data in a web-friendly format. We’ll walk through a sample implementation, breaking down the code step by step. Step 1: Setting Up Your Environment Before we start coding, ensure you have Python and Pandas installed. You can install Pandas using pip if you haven't done so: Copy Code pip install pandas Step 2: Creating a Sample DataFrame      Let’s begin by creating a sample DataFrame. This DataFrame simulates some lab data with columns such as Company name, vndr_nm, cmpn_code, Year_Month, and Distinct_Count_of_Records. Copy Code import pandas as pd # Sample DataFrame data = { 'Company name': ['xyzcorp', 'xyzcorp', 'xyzcorp', 'abcltd', 'abcltd'], 'vndr_n

Overview: - Basic of Speech Recognition. Basic of NLP. How it is related to Speech recognition. Some of the techniques in Speech Recognition. Some of the challenges. Speech Recognition: - Speech recognition is a technique which is highly demanding in the market. There are a lot of companies are trying to adopt speech recognition techniques into their product to compete with today’s market (for example: — Ok Google, Apple Siri, Amazon Alexa) But how much we know about speech recognition? Speech recognition  is a technique or we can say it as software which has capable of recognizing the speech/voice that human says. it can be in any language that is already been in the solution. Speech recognition is the solution where it’s taking the voice input and doing some use full tasks for us. How it works: - When speech recognition takes a voice input first it tries to make it into a number of tokens as we are doing in texts, By splitting the voice input after making token it will try to an

Dataiku Introduction: - Dataiku DSS (Data science studio) is an AI platform that enables Data professionals to work collaboratively to design, Develop, Deploy, and manage their Data Applications. Dataiku was founded by Florian Douetteau Clément Stenac Marc Batty Thomas Cabrol in 2013 in Paris, France and after rapid growth in 2015 they established in the US. Dataiku Has more than 90 features which we will be discussing in the upcoming article. Dataiku Key Terms: - In this article, we will go through the most important Terms used in Dataiku and will have a better idea about Dataiku DSS Design Homepage: - After login to the Dataiku page you will be landed on the Dataiku homepage where you can see the list of projects, workspaces, folders, Here you can create folders, projects, workspaces, applications, wikis, etc., and manage them. Here you can see the application menu, where you can see all the links of instance level elements and you can access them. Also, you can see a search bar

Data Types and Structures String List Dictionary Set File Handling File File and Directory Management Programming Fundamentals General Type Conversion Mathematical Functions Functional Programming Functional Programming Tools Decorators and Metaprogramming Comprehensions Input and Output Input and Output Command-Line Arguments Object-Oriented Programming Class and Object Related Class and Instance Utilities Import and Module Management Exception Handling Exception Handling Exception Handling and Debugging Iterables and Generators Working with Iterables Iterators and Generators Advanced Python