We might be unaware of this fact, but we use time series databases all the time. They will become even more relevant as the Internet of Things (IoT) and other revolutionary technologies continue to develop. In this article, we will review what a time series database is, what its purpose, and their impact on our daily lives.
In simple terms, a comment is an entry added to the source code to allow a deeper understanding of the logic behind why the code was written the way it was. In Python, the ‘#’ or pound symbol is required before every comment. This symbol allows the Python interpreter or compiler to ignore the pursuant text.
Why are Comments Needed?
When working in a large codebase, a developer may need to refer back to the information in comments weeks or months later to ensure that they understand the code’s original purpose. This information is necessary for the original idea’s formal logic aspect and is an essential criterion when working with other developers on an extensive project.
A for loop in Python is utilized to make repeated use of a function or procedure, applying it each time to the result of the previous sequence. This repeating process is called iteration. The for loop checks each iteration until a condition is met. Typically these are used when we have to run a block of code duplicating it X number of times. Each time it iterates over a sequence, it re-executes the code.
The idea of blockchain itself may sound complicated, but the premise is simple. Blockchain is a zero-trust, fully decentralized peer-to-peer data storage system that spreads verified information across participants in the chain, referred to as nodes. Blockchain stores this information in blocks that are chained together. As new data arrives, it is recorded into a block. Once a block has been filled with information, it is linked to the previous block. This process allows the data to be bound together in sequential and chronological order.
In this tutorial, we discuss one of the most useful attributes of Python: the function. Python functions are considered “First Class” objects. A First Class object can be assigned to variables, stored in data structures, passed as arguments to other functions, or even return values from other functions. Other examples of First Class objects in Python are integers, strings, and dictionaries.
ClickHouse is an open-source column-oriented DBMS (or database management system) primarily used for OLAP (or the Online Analytical Processing of queries). It is capable of blazing fast generation of real-time analytical data and reporting utilizing SQL queries. It is fault tolerant, scalable, highly reliable and contains a feature rich tool set.
In a regular database, data is stored in tables, columns, and rows. In a table, the related values are physically stored side by side in one row, which is critical to how it operates. This is how most string type databases work.
ArangoDB is a high availability and scalable multi-model NoSQL database that natively works with graphs and documents and includes a full-text search. It is a free, open-source software developed and maintained by ArangoDB GmbH. The system supports three different data models with one database core and includes a unified query language called AQL (ArangoDB Query Language). This query language is declarative and allows the combination of different data access patterns in a single query. The software can be implemented on multiple systems, including Windows, macOS, Linux, Kubernetes, Docker, and on our Managed Cloud. It has a strong community support base on GitHub, StackOverflow, Google Groups, and Slack.
In this tutorial, we will examine what Neo4j is, what it is used for, and how it is implemented. We will also install and configure the installation on an Ubuntu 20.04 server. Neo4j is a graphical database used to create data relationships. Other examples of graphical databases include:
In this article, we will explore the newest methods to install or update to the latest version of Python on our Ubuntu system.
What is Python?
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. It’s high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development and use as a scripting or glue language to connect existing components together. Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse.
“A No-code development platform allows programmers and non-programmers to create application software through graphical user interfaces and configuration instead of traditional computer programming1.” Various software tools and applications are being used all around us each day. You might be asking yourself, “How do they do it?”.