In today’s digital world, security is one of the most important things. Since everything is going digital, we need to be highly concerned about security. To protect our accounts and data from anonymous people, we all use passwords daily. Password keeps our account safe by restricting other users from accessing the account. Although passwords are the most common types of security used in the digital world, they are not safe if we misuse them.
Google is the most popular search engine. It is widely used in almost every country for searching. To search for something in the Google Search engine, first, we need to open our favorite web browser. Then, we need to visit google.com and type the query we want to search. The result will appear in the browser after searching. But sometimes, we also have to access the Google search programmatically for automation or building an AI assistant.
In this tutorial, we will learn how to extract dates and times from raw strings. Extracting helpful information like dates is very useful while parsing raw texts such as logs. You can also use an IDE for writing the code. Here, I am using the open-source VS Code IDE provided by Microsoft. VS Code is a cross-platform IDE. We can use it on any platform like Windows, Linux, or macOS.
Strings are one of the most important data types in any programming language. They are used for storing text like names of persons, places, etc. In Python, strings can be created by writing them under triple quotes, double quotes, or single quotes. Unlike C++, strings in Python can also be written under single quotes. Python also supports Multiline strings that can be written by enclosing text in triple quotes.
Forms are one of the most important elements of HTML. Almost every website uses a form in one way or another. Some uses of HTML forms are contact page form, files uploader form, user registration form, etc. If you want to learn more about the basics of creating an HTML form, you can refer to our beginner step-by-step guide on creating forms.
Pandas is one of the most powerful Data Science libraries in python. Almost every Data Scientist working in python uses the pandas library. The popularity of pandas is due to its inbuilt data structure, i.e., the DataFrame. Pandas DataFrame is a modern and efficient way to store data in tabular format. Pandas DataFrame also has many integrated methods that perform many operations to make our task as data scientists easy. DataFrame provides methods for sorting data, aggregating data, and many other operations. In fact, we can also draw a Data Frame with ease using the plot () method.
Flask is one of the most popular frameworks for backend development. It is a microframework based on the python programming language. Instead, a micro-framework Flask is very powerful and is highly extensible. Since Python is popular for Machine Learning and Data Science, Flask is hugely used to serve Machine Learning and Data Science related apps. In this tutorial, we will learn how to create a file uploader and file downloader using Flask.
Html forms are one of the most important HTML tags for interacting with the user. They are used to taking input from the user, and most commonly, the inputs were sent to the server-side for further processing. Forms are used to build contact pages, login pages, etc., on a site. We can collect different types of data using forms such as email addresses, usernames, passwords, phone numbers, credit card numbers, etc. To build an Html form, we need to use the
NodeJs is one of the most popular server-side frameworks for building web applications. This framework is completely based on the javascript language, which makes it popular among developers. Since developers must learn Javascript while working in frontend development. NodeJs makes the developers happy as they do not have to learn any other language for the server-side and can use Javascript as a server-side language. We have a step-by-step guide on getting started with NodeJs you can refer to it to learn the basics of NodeJS and quickly get started using the framework.
In this tutorial, we will learn to perform some basic operations on python lists such as sorting, calculating the length of a list, etc. To follow this tutorial, python should be installed on your computer so you can try each of the codes by writing it on your own. It is also recommended to use an IDE(Integrated Development Environment) such as the open-source Visual Studio Code for writing programs fast and efficiently. Now, let us start our tutorial with the introduction of python lists.
Google Chrome extensions are small apps created using HTML, CSS, and javascript to add some special functionality to chrome. Many popular Chrome extensions serve users with a variety of options and functionality. Some of the popular chrome extensions are Grammarly, wappalyzer, etc. These extensions are developed for a single purpose like the Grammarly extension is for writers to check grammar.
Python is a very popular language that can be used to perform a wide variety of tasks. We can use python to perform operations like Machine Learning, Data Science, web applications, Mobile applications, Automation, etc., very easily. In this tutorial, we will use python to access weather data from an API for a specific area.