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Tutorials, Exercises published recently

Pandas Styling: Exercises, Practice, Solution

Pandas styling Exercises: Write a Pandas program to highlight the negative numbers red and positive numbers black

Pandas styling Exercises: Write a Pandas program which will highlight the nan values

Pandas styling Exercises: Write a Pandas program to highlight the maximum value in each column

Pandas styling Exercises: Write a Pandas program to highlight the minimum value in each column

Pandas styling Exercises: Write a Pandas program to highlight the maximum value in last two columns

Pandas styling Exercises: Write a Pandas program to set dataframe background Color black and font color yellow

Pandas styling Exercises: Write a Pandas program to highlight dataframe's specific columns

Pandas styling Exercises: Write a Pandas program to highlight dataframe's specific columns with different colors

Pandas styling Exercises: Write a Pandas program to display the dataframe in table style

Pandas styling Exercises: Write a Pandas program to highlight the entire row in Yellow where a specific column value is greater than 0.5

Pandas styling Exercises: Write a Pandas program to display the dataframe in Heatmap style

Pandas styling Exercises: Write a Pandas program to make a gradient color mapping on a specified column

Pandas styling Exercises: Write a Pandas program to make a gradient color on all the values of the said dataframe

Pandas styling Exercises: Write a Pandas program to display the dataframe in table style and border around the table and not around the rows

Pandas styling Exercises: Write a Pandas program to display bar charts in dataframe on specified columns

Introduction to Mocha

Run Cycle Overview And Detects Multiple Calls To Done()

ASSERTIONS AND ASYNCHRONOUS CODE

SYNCHRONOUS CODE, ARROW FUNCTIONS AND HOOKS

DELAYED ROOT SUITE PENDING TESTS, EXCLUSIVE TESTS AND INCLUSIVE TESTS

RETRY TESTS AND DYNAMICALLY GENERATING TESTS

TIMEOUTS AND DIFFS

COMMAND-LINE USAGE

Interfaces

Reportes

Running Mocha in the broweser

Desktop notification support

Configuring Mocha(NODE.JS)

Jest

Jest Getting Started

Using Matchers

Testing Asynchronous Code

Setup and Teardown

Jest Platform

Mock Functions

Snapshot Testing

Manual Mocks

Timer Mocks

An Async Example

ES6 Class Mocks

Using with webpack

Bypassing module mocks

Using with DynamoDB

Using Jest with MongoDB and DynamoDB

Using with puppeteer

Dom Manipulation

Migrating to Jest

Watch Plugins

Testing React Native Apps

Testing React Apps

Troubleshooting

Testing Web Frameworks

Jest Expect

Mock Functions API reference

Jest Globals

Jest Object (API Reference)

Configuring Jest

Jest CLI Options

Jest Architecture

Getting started with ASP.NET MVC

Create first ASP.NET MVC web application

MVC Architecture

MVC Version History

ASP.NET MVC Folder Structure

Routing in ASP.NET MVC

Controllers

Action method

Action Selectors

Pandas: Series

Pandas Series: between_time() function

Pandas Series: at_time() function

Pandas Series: tz_localize() function

Pandas Series: resample() function

Pandas Series: shift() function

Pandas Series: asof() function

Pandas Series: asfreq() function

Pandas Series: update() function

Pandas Series: replace() function

Pandas Series: append() function

Pandas Series: view() function

Pandas Series: squeeze() function

Pandas Series: repeat() function

Pandas Series: searchsorted() function

Pandas Series: explode() function

Pandas Series: unstack() function

Pandas Series: sort_index() function

Pandas Series: sort_values() function

Pandas Series: interpolate() function

Pandas Series: fillna() function

Pandas Series: dropna() function

Pandas Series: notna() function

Pandas Series: isna() function

Pandas Series: filter() function

Pandas Series: add_suffix() function

Pandas Series: add_prefix() function

Pandas Series: mask() function

Pandas Series: where() function

Pandas Series: truncate() function

Pandas Series: tail() function

Pandas Series: take() function

Pandas Series: set_axis() function

Pandas Series: sample() function

Pandas Series: reset_index() function

Pandas Series: rename_axis() function

Pandas Series: rename() function

Pandas Series: reindex_like() function

Pandas Series: reindex() function

Pandas Series: last() function

Pandas Series: isin() function

Pandas Series: idxmin() function

Pandas Series: idxmax() function

Pandas Series: head() function

Pandas Series: first() function

Pandas Series: equals() function

Pandas Series: duplicated() function

Pandas Series: drop_duplicates() function

Pandas Series: droplevel() function

Pandas Series: drop() function

Pandas Series: array() function

Pandas Series: values() function

Pandas Series: memory_usage() function

Pandas Series: astype() function

Pandas Series: infer_objects() function

Pandas Series: copy() function

Pandas Series: to_numpy() function

Pandas Series: at() function

Pandas Series: iat() function

Pandas Series: loc() function

Pandas Series: iloc() function

Pandas Series: items() function

Pandas Series: pop() function

Pandas Series: xs() function

Pandas Series: add() function

Pandas Series: sub() function

Pandas Series: mul() function

Pandas Series: div() function

Pandas Series: truediv() function

Pandas Series: floordiv() function

Pandas Series: mod() function

Pandas Series: pow() function

Pandas Series: radd() function

Pandas Series: rsub() function

Pandas Series: rmul() function

Pandas Series: rdiv() function

Pandas Series: rtruediv() function

Pandas Series: rfloordiv() function

Pandas Series: rmod() function

Pandas Series: rpow() function

Pandas Series: combine() function

Pandas Series: combine_first() function

Pandas Series: round() function

Pandas Series: product() function

Pandas Series: dot() function

Pandas Series: dot() function

Pandas Series: apply() function

Pandas Series: agg() function

Pandas Series: aggregate() function

Pandas Series: transform() function

Pandas Series: map() function

Pandas Series: groupby() function

Pandas Series: rolling() function

Pandas Series: expanding() function

Pandas Series: ewm() function

Pandas Series: abs() function

Pandas Series: all() function

Pandas Series: any() function

Pandas Series: autocorr() function

Pandas Series: between() function

Pandas Series: clip() function

Pandas Series: corr() function

Pandas Series: count() function

Pandas Series: cov() function

Pandas Series: cummax() function

Pandas Series: cummin() function

Pandas Series: cumprod() function

Pandas Series: cumsum() function

Pandas Series: describe() function

Pandas Series: diff() function

Pandas Series: factorize() function

Pandas Series: max() function

Pandas Series: min() function

Pandas Series: nlargest() function

Pandas Series: nsmallest() function

Pandas Series: pct_change() function

Pandas Series: prod() function

Pandas Series: quantile() function

Pandas Series: rank() function

Pandas Series: sum() function

Pandas Series: unique() function

Pandas Series: value_counts() function