From healthcare and finance to marketing and technology, data science has a wide range of applications in various industries. Through data analysis techniques like machine learning and predictive analytics, key insights can be revealed from the vast amounts of data available today and this also offers us the potential to solve many real-world problems. With […]
How Data Science Can Help Solve Real-World Problems Read More »
In Solidity, we generally use assert() and require() to write code with conditioning to make sure that the smart contract behaves as expected. Both can be used for checking conditions during transactions but have a huge difference which we often ignore. Using assert() where you actually have to use require() and using require() where it
Assert vs Require in Solidity: Which One to Use When Read More »
If you have recently updated your macOS, especially macOS Catalina or macOS Big Sur, you might be getting this error while doing a usual npm install. The general solution to this problem is installing the XCode. To install the XCode command line, you need to run the following command: When you run this command, you
gyp: No Xcode or CLT version detected macOS Read More »
Solidity is an object-oriented high-level programming language that is personalized exclusively for building smart contracts. It draws inspiration from other programming languages like JavaScript, Python, and C++, making it easy to learn. We can easily send Ethereum to a message sender using Solidity programming language just by writing a few lines of code. Sending Ethereum
How to Send Ethereum to Message Sender in Solidity? Read More »
Mongoose is an ODM (Object Document Mapper) that allows users to conveniently create and manage data in MongoDB. While it is possible to manage data, define schemas, etc. using MongoDB APIs, it is quite difficult to do so. Hence, Mongoose has made lives easier. When using Mongoose sometimes errors can occur and we don’t know
How to Check if Mongoose is Installed in Node.js? Read More »
Filtering a Pandas DataFrame includes selecting the particular rows that meet exact conditions. It is particularly useful for a wide range of use cases in Python. In time series data we can filter the data on particular time intervals. Also, to improve the data quality we can do filtering to remove rows with missing data
How to Filter Pandas DataFrame: 5 Simple Methods for Beginners Read More »
Updating the value of a row in a Pandas DataFrame is a fundamental data manipulation task that allows us to modify specific elements within a DataFrame’s cells. Whether we need to correct errors, incorporate new information, or adjust data for analysis, this operation is essential for maintaining data accuracy and relevance. By identifying the row
Update Value of Row in Python DataFrame (4 Ways) Read More »
Checking if a DataFrame is empty using Pandas in Python can be beneficial in various use cases such as before processing or analyzing a DataFrame. This checking for the emptiness of the DataFrame will avoid unexpected errors. Also, sometimes when we iterate through multiple DataFrame we need to handle the empty DataFrame and non-empty DataFrame
How to Check if Pandas DataFrame is Empty (3 Ways) Read More »
Sorting Pandas DataFrame involves arranging its rows based on one or more column values. Sorting can be done when we need to identify the top or the bottom values which can be helpful in selecting the most deserving data points. Sorting can also be proved useful in the time-based data where we can sort timestamps
Sorting Pandas DataFrame: 6 Ways with Examples Read More »
Python provides many libraries that can perform various functions in different fields. One such famous library is NumPy. NumPy provides various mathematical functions that help us perform computations on arrays, scalars and matrices. In this article, we’ll explore the numpy.cumprod() function which helps compute cumulative product along with some examples. Also Read: numpy.square() in Python
numpy.cumprod() in Python: Calculating Cumulative Product in NumPy Read More »