What are Data Structures and Algorithms? (1)

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What are Data Structures and Algorithms?
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• Software engineering is a field of study that
  involves the concept of engineering where
  software engineer learns to design as well as
  write the lines of codes algorithms in order to
  create programs and software applications for
  various electronic devices including computer.
• However, the writing of codes is simply a stage
  of the whole process.
• Theres a well-articulated life-cycle in the true
  software engineering since there are numerous
  components included with it like requirement,
  verification, design, testing, coding,
  specification, testing, quality check,
  implementation, and acceptance by the user(s).

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• While software engineers dont really need to
  have a in-depth knowledge on every single
  component of their software projects, possessing
  some basic knowledge of data structures can be
  really helpful for them.

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• Taking a simple data structures course
  online would be great for them. It is the core
  part of the coding phase.
• To store and manipulate data, its mandatory to
  learn the basics of data structures and
  algorithms. The skill could be acquired by going
  for online data structures and algorithms course.
• The storage as well as arrangement of the data
  in the disk space of OC or its memory storage
  done is a way such that it could be easily used
  in the future is known as data structures. 

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•  Algorithms, on the other hand includes
  instructions or commands using which the stored
  data is manipulated.
• Algorithm is used to make searches for specific
  items in the data structure and also to sort the
  data through advanced as well as simple data
  sorting methods.
• Algorithms needs to be highly efficient with its
  execution, and at the same time, better-designed
  algorithms are needed for stronger sets of data
  structures.
• Algorithms could be efficient only if the data
  within the data structure is arranged in a proper
  manner and they are easily accessible. Data
  structures and algorithms are important part
  of machine learning training.

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Here are a few characteristics of data structure

• Array Here, algorithms are fairly easy to
  insert. Data are accessible easily, however,
  searching for data and deleting it is
  comparatively slower and the size of such data
  structure couldnt be expanded.
• Queue Here, accessibility follows the basic rule
  of first in/ first out. Drawbacks of queue being
  that access of the items are slower.

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• Stack While it is fairly similar to queue, here,
  the different is that it follows the rule of last
  in and first out.
• Binary Tree Here, there is an advantage with
  making searches, inserting data, and deleting
  data, all of which is quicker, however,
  algorithms used for deleting could be quite
  complex in nature.
• Linked List Here, the act of inserting and
  deleting data is quicker, but at the same time,
  searching is slow.

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• Hash Table Here, accessibility is fast if the
  key is known, otherwise, it could be slower.
  Inserting data is also quick, however, deleting
  data is slower and the use of inter disk memory
  space is not very efficient.
• Graph For the real-world situations, this is the
  best model available. And therefore, it is also
  the most complex of all.

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