Binita Kumari Mandal's repositories
python-newick
python package to read and write the Newick format
streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
jc
CLI tool and python library that converts the output of popular command-line tools and file-types to JSON or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.
ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
Data_visualization_with_matplotlib
Introduction Making plots and static or interactive visualizations is one of the most important tasks in data analysis. It may be a part of the exploratory process; for example, helping identify outliers, needed data transformations, or coming up with ideas for models. Matplotlib is the most extensively used library of python for data visualization due to it's high flexibility and extensive functionality that it provides. Table of Contents Setting up Importing matplotlib Matplotlib for Jupyter notebook Dataset Documentation Matplotlib basics Make a simple plot Labels, and Legends Size, Colors, Markers, and Line Styles Figures and subplots Line Chart Bar Chart Histogram Box plot Violin plot Scatter plot Bubble plot
Analytics_Pandas_part_1
What is Pandas? Pandas is a Python library used for working with data sets. It has functions for analyzing, cleaning, exploring, and manipulating data. The name "Pandas" has a reference to both "Panel Data", and "Python Data Analysis" and was created by Wes McKinney in 2008. Why Use Pandas? Pandas allows us to analyze big data and make conclusions based on statistical theories. Pandas can clean messy data sets, and make them readable and relevant. Relevant data is very important in data science.
Apply_function
It is one of the commonly used Pandas functions for manipulating a pandas dataframe and creating new variables. Pandas Apply function returns some value after passing each row/column of a data frame with some function. The function can be both default or user-defined.
Indexing_knowledge
Object selection has had a number of user-requested additions in order to support more explicit location based indexing.
Dictionary_Python
There are some examples to create dictionary on Python.
List_practice
This repository is all about the practice in the "List" category.
Functions
A function is a block of code which only runs when it is called. You can pass data, known as parameters, into a function. A function can return data as a result.
looping-constructs
practice 2
Conditional_statements
This repository is only for understanding and practice.
Working_with_APIs2
Next file added here
Working_with_APIs1
The next added file
APIs-with-Requests
Foreign exchange rates API with currency conversion
pyvtreat
vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license.