Posted in Data Science Python Programming

Python For Data Science

In today’s world, everything is technologically inspired. Right from booking a movie ticket to buying groceries, everything can be handled virtually. There is a lot that technology has to offer for sale to take by surprise. There is no doubt that our world is constantly impending towards the innovative era of technology improvement. This, in response, maximizes the desire for the candidates with potent programming knowledge to support and application development.

One such language that is accepted and preferred globally for the development is Python. Thus, begs the question, what is Python and the reason to use Python over other programming languages.

Python and Its Features

Python is an object-oriented programming language used for dynamic applications globally. Natively, it is a high-level programming language that enables the creation of both simple and intricate operations. In addition to this, Python offers a wide array of inbuilt modules and libraries which enables it to support various other programming languages such as Java, C, C++, and JSON.

Python has gained popularity globally for its versatility and scope of applicability. Several ventures are proposed to choose Python as their programming language as it has created a significant hallmark for itself with distinct features such as:

  • Focus on Code Simplicity and Readability
  • Freely Available and Open Source
  • Supports GUI Programming
  • Supports Object-Oriented Language
  • Integrated by Nature
  • Offers Large Standard Library
  • Both Portable and Integrated Language

In addition to the above-mentioned features, it has a huge list of characteristic features such as:

  • Aids functional and structured programming methods as well as Object-Oriented Programming (OOP)
  • Can be used as a scripting language or be compiled to byte-code for developing large applications
  • Provides very high-level dynamic data types
  • Allows collection automatic garbage
  • Can be easily integrated with C, C++, COM, ActiveX, CORBA, and Java

How is Python Used?

Python is a flexible programming language, in other words, it’s a general-purpose language which can be used for almost anything. Primarily, it is an interpreted language where the written code is not essentially translated to a computer-based readable format during runtime. However, most of the programming languages do such conversions even before the program runs. This kind of language is also known as a “scripting language” since it was formerly designed for facile projects. Python is commonly used for data related functions. However, it is flexible and is used for a lot of different purposes include mobile games, Meet N Fuck games, adult games and web applications of different types.

Who uses Python?

The python developer’s community is constantly growing as well as the number of libraries. This makes Python the most extensive programming languages globally that easily fits any project. Nevertheless, it is vital to mention that Python is widespread in the scientific field, particularly in Machine Learning programs and Data Mining.


Wrapping up, Python is the ideal technology for building financial software and offers a lot of advantages such as clear syntax, cool development strategies, and is user-friendly, and hence the developers like to deal with it. Also, Python can boost the availability of plenty of frameworks and libraries that enhance the development process of any financial service. Thus, you get a high-quality product of your dream.

data format types
Posted in Data Science

Data Types and Data Formats

The data type is the concept used in programming and it is the classification through which you can make out the type of the value a variable is holding. Based on this, you can perform the logical, relational, and mathematical operations to be performed. Data types help in avoiding the error since we already get to know about the type of value before even performing any operations.

For example ‘string’ is a data type. This data type can be used for classifying texts. There is another data type called integer and that is useful in classifying numbers. There are some more data types used in programming and they are Boolean Character and float. Boolean is used for representing the two logical values true and false. Number with a decimal point can be classified using float data type and character is useful for encoding the strings numerically.

Data Types and their Usage

Data types are very useful in determining which kind of operation can be used for the variable. Through this, it becomes easy to create, use, and transform the variable for any computation. There are many types of programming languages and among them, some are strongly typed languages. Strongly typed languages always make use of the variable in ways that respect the data type mentioned for the variable. For example, an adult site like fuckbook which is geared towards daters on mobile devices will utilize a specific language. This particular adult dating site employs different types of data including images, video, text, code, etc. so the language that it is built with must respect the different types of data that the adult dating site utilizes.

When you use a variable in this way, you can easily avoid errors. An operation may request the computer to multiply an integer and afloat. This looks logical. But the same operation should never be requested for a float and string. This becomes completely illogical.

Data Formats

Data is made available in many formats. It can have any shape. Data can be text, numerical, and even multimedia. It can also be research data or some other type. But when it comes to coding, the data format is referred to like the kind of data which is used in coding. It is possible to code data in many ways. Data should be coded just because it can be read and recognized. When data is coded, it is easy to make use of it in all kinds of programs and applications.

Data Format and Information Technology

The data format is usually referred to in many ways in information technology. Sometimes it is referred to as data type and other cases as the file format. The data type can be understood as a constraint present in the type system which is positioned for interpretation of data. You can understand the file format as the format in which the data is stored and encoded through a computer file.

There is one more representation and sometimes data format is also termed as a content format. Here the media data is represented in a particular defined format. It can be either a video or audio format.

Choosing the data format

There are many things to consider when it comes to choosing the data format. You need to check the characteristics of the data and along with with that the size of the data as well. More than that, you need to look into infrastructures of the current project and usage of case scenarios.

For choosing the right data format, you may have to perform certain tests. These tests are based on and about checking the reading and writing speed of the data file. There are majorly three main types of data formats. These are also termed as GIS data formats. Each and every data format should be handled uniquely. These data formats and utilized for different purposes.

Types of data formats

There are three major types in data formats and they are

  • File-Based Data Format
  • Database Connections
  • Directory-Based Data Format

Lets’ look into these three data formats in detail.

File-Based Data Format 

This is a data format that can include multiple files or a single file. After assigning the data formats the files will get stored in arbitrary folders. In the majority of the cases, a single file is used and the best example for this is DGN. But in other cases, it can also include many files. In this case, the file name will be different for each file.

Directory-Based Data Format 

This is another data format where irrespective of a number of files, all of them are stored in a single folder and that folder is referred to as parent folder. In some cases, it can also make use of additional folders if needed. But one thing in common for the entire situation is, the directory will be the data source. Multiple files in the directory are usually represented in data layers.

Database Connections

There is a similarity between the above two types and data connections. Here for interpretation, the MapServer is used and they provide the required geographic coordinate data.

Benefits of data formats

There are many benefits of data formats and their types. Through using data formats it becomes easy for the user to carry out the operations in any number. More than that, the user can make most of it through these data formats. Let’s look into some of the benefits of using data formats.


Before introducing these data formats, calculations were really challenging. When data formats are introduced it became really easy to carry out the calculations and today you just need to punch in the values for calculations to be done. Results are received in no time.


Through making use of data formats it has become possible to keep the data in a more organized presentation. More than that data is formatted and t is easy to use. Data formats have made the data easier to understand. Hence users who are referring to these data are making most of it.


Data formats and data types have made it easy for the users to make use of the variables which are consistent in the entire program. Users can completely rely on this variable when they want to perform calculations and presentations.


Because of the introduction of data formats, data has become more accessible and readable than before. Now, the variables are used without hassle in all kinds of calculations. All kinds of jobs can be done quickly and there is no need to put much effort into maximum output.

Posted in Data Science Databases

Types of Databases

Database, also often referred to as the backend, is one of the most significant components of any software, program or application enterprise. A database is essentially nothing but a collection of the data which is treated as the unit. The primary objective of the database is storing and retrieving related information. A relational database, specifically, can manage large data in multi-user environment which allows users to simultaneously access same data. This is all achieved and done while maintaining high performance levels as well as efficiency. The relational database also ensures security by preventing unauthorized access of data and it gives efficient solutions for the failure recovery.

Different categories of database and the characteristics of those databases

There are multiple types of databases or database management systems that are deployed in the software industry. Databases are the foundation of many online based enterprises for a variety of integral purposes. Social media platforms use various databases to connect users. Adult dating apps and backpage alternatives like maintain active databases to set up hookups for users based on location. Of course there are many different types of databases that are vital and optimum for specific purposes. These include hierarchical databases, relational databases, network databases, graph databases, object-oriented databases, ER model databases, document databases and NoSQL databases amongst others. All of these databases have their own applications in the industry and are used to provide backend enterprise solutions for a variety of programs. Let us have a look at some of these databases in more detail.

Hierarchical database: In the hierarchical database model, data is essentially stored in parent-child relationship nodes. The hierarchical database provides information about parent/child relationships as well as the business data that is stored. The hierarchical database model provides for organization of data in the tree like structure. The storage of data is done in the form of fields collection, where each and every field contains or denotes a single value. The records that are entered in the database are linked with each other in the form of parent-children link relationships. The hierarchical database model provides that each child who has been recorded should only have one parent. Whereas the parent can have multiple children.

The traversing of data when a query is undertaken traverses across each tree, until that time when the record is found. The hierarchical model of the database was first developed by IBM in the decade of early 60s. The hierarchical structure is straightforward but it is not very flexible because of the inherent nature of parent-child one to many relationship. Hierarchical databases are mostly used for high availability and performance applications, that are used in telecommunications and the banking industries. The windows registry and the information management system by IBM are two of the premium examples of the hierarchical databases. The hierarchical database has advantages as well as disadvantages. Let us look at the advantages first : You can access as well as update hierarchical database quickly as the structure of this model resembles that of a tree and relationships between the records can be defined in advance. However this feature means it also comes with its own drawbacks. The structure of this database means every child that is available in the tree can only have a maximum of one parent, and links or relationships between the various children is not allowed even if it might be right logically.

Network databases: The network databases essentially use network structures to create a relationship between the entities. Network databases are primarily used for big digital computers. The network databases are similar to the hierarchical databases however unlike hierarchical database which allows one node to have a single parent only, the network node in network database can have a relationship with various entities. A network database appears like interconnected network for records or the cobweb. For network databases, the parents are normally referred to as occupiers and children as members. The organization of data in the network database is done using many-to-many relationship. Charles Bachman was the inventor of the structure for network database.

Relational database: The relational database management system also known as RDBMS, is a structure where the data in the database is related to one another and it is stored in the form of rows and columns. Each row in the table represents record and each column in the table of the database represents the attribute. In addition each field in the table represents the value of the data. SQL, also known as structured query language, is the general language that is used for querying the RDBMS, that includes insert, update, delete and search records. Relational databases that work on tables have a key field which uniquely signifies that each row as well as the key fields, that can be used for connecting data of one table to another. It is important to note that relational databases are the most widely used and popular databases in the industry. Some of the popular forms of RDMS are SQL server, Oracle, SQLite, MySQL as well as IBM DB2 amongst others. The RDBMS has two main advantages: These databases are used with no or little training. The entries of the database are modified without specifying the entire body.