Knowledge in Data Analytics

Basics Of Pandas(Python)

This PDF for those who want to learn pandas from beginning . All the basics knowledge of Pandas and python are discussed in PDF.

Time Series Analysis With Pandas(Python)

This PDF is about time series analysis of data .Pandas has time series function to analysis of data with time.

Hotel management system

this is a c code that implements a retail service for hotel managment systems usinf files , data structures in c.

Breadth First Search

Breadth-first search is an algorithm for traversing or searching tree or graph data structures. It starts at the tree root, and explores all of the neighbor nodes at the present depth prior to moving on to the nodes at the next depth level.

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Data Mining concepts and Techniques

Data Mining concepts and Techniques

Linear Time Sorting

We have sorting algorithms that can sort "n" numbers in O (n log n) time.Merge Sort and Heap Sort achieve this upper bound in the worst case, and Quick Sort achieves this on Average Case.Merge Sort, Quick Sort and Heap Sort algorithm share an interesting property: the sorted order they determined is based only on comparisons between the input elements. We call such a sorting algorithm "Comparison Sort".There is some algorithm that runs faster and takes linear time such as Counting Sort, Radix Sort, and Bucket Sort but they require the special assumption about the input sequence to sort.Counting Sort and Radix Sort assumes that the input consists of an integer in a small range.Bucket Sort assumes that a random process that distributes elements uniformly over the interval generates the input.

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data structure and alogrithm

It contains notes of prorperties of b tree

COMPUTER DATABASE SKILLS FOR COMMERCE STUDENTS

What is DBMS? Database is a collection of related data and data is a collection of facts and figures that can be processed to produce information. Mostly data represents recordable facts. Data aids in producing information, which is based on facts. For example, if we have data about marks obtained by all students, we can then conclude about toppers and average marks. A database management system stores data in such a way that it becomes easier to retrieve, manipulate, and produce information. Characteristics Traditionally, data was organized in file formats. DBMS was a new concept then, and all the research was done to make it overcome the deficiencies in the traditional style of data management. A modern DBMS has the following characteristics − • Real-world entity − A modern DBMS is more realistic and uses real-world entities to design its architecture. It uses the behavior and attributes too. For example, a school database may use students as an entity and their age as an attribute. • Relation-based tables − DBMS allows entities and relations among them to form tables. A user can understand the architecture of a database just by looking at the table names. • Isolation of data and application − A database system is entirely different than its data. A database is an active entity, whereas data is said to be passive, on which the database works and organizes. DBMS also stores metadata, which is data about data, to ease its own process. • Less redundancy − DBMS follows the rules of normalization, which splits a relation when any of its attributes is having redundancy in values. Normalization is a mathematically rich and scientific process that reduces data redundancy. • Consistency − Consistency is a state where every relation in a database remains consistent. There exist methods and techniques, which can detect the attempt of leaving the database in an inconsistent state. A DBMS can provide greater consistency as compared to earlier forms of data storing applications like file-processing systems. • Query Language − DBMS is equipped with a query language, which makes it more efficient to retrieve and manipulate data. A user can apply as many and as different filtering options as required to retrieve a set of data. Traditionally it was not possible where the file-processing system was used. • ACID Properties − DBMS follows the concepts of Atomicity, Consistency, Isolation, and Durability (normally shortened as ACID). These concepts are applied to transactions, which manipulate data in a database. ACID properties help the database stay healthy in multi-transactional environments and in case of failure. • Multiuser and Concurrent Access − DBMS supports a multi-user environment and allows them to access and manipulate data in parallel. Though there are restrictions on transactions when users attempt to handle the same data item, but users are always unaware of them. • Multiple views − DBMS offers multiple views for different users. A user who is in the Sales department will have a different view of the database than a person working in the Production department. This feature enables the users to have a concentrated view of the database according to their requirements. • Security − Features like multiple views offer security to some extent where users are unable to access data of other users and departments. DBMS offers methods to impose constraints while entering data into the database and retrieving the same at a later stage. DBMS offers many different levels of security features, which enables multiple users to have different views with different features. For example, a user in the The sales department cannot see the data that belongs to the Purchase department. Additionally, it can also be managed how much data of the Sales department should be displayed to the user. Since a DBMS is not saved on the disk as traditional file systems, it is very hard for miscreants to break the code.