Different Types of Data types in Python

Different Types of Data types in Python

The concept of data types is important in the Python programming language. Each value in Python has a unique data type. Data types refer to classifying data items or placing the data value into a specific category. Knowing what operations can be carried out on a deal is valid. Check out our data science certification from top universities if you are a beginner looking to learn more about data science. If you want a deep understanding of different data types in Python, you can enrol in Best Python Training In Madurai at FITA Academy, which provides good training and knowledge.

Built-in Data Types in Python:

  • Binary Types: memory view, byte array, bytes
  • Boolean Type: bool
  • Set Types: frozen set, set
  • Mapping Type: dict
  • Sequence Types: range, tuple, list
  • Numeric Types: complex, float, int
  • Text Type: str

Top 7 Data Types in Python:

Python Numbers:

We can find complex numbers, floating point numbers, and integers in the Python numbers section. In Python, complex numbers are defined as a complex class, floating point numbers as float, and integers as an integer. Long is yet another data type in this category. It is used to store long integers. This data type was only available in Python 2. x and was later removed in Python 3. x.

The “Type()” function determines the class of a value or variable. The “instance ()” function determines the value for a specific category. Join the Python Classes In Pune, which will provide hands-on tutorials and live projects to implement real-world problems in the syllabus. 

Python List:

A list refers to an ordered sequence of items. Python is an exceptionally flexible data type. There is no need for the values in the list to be of the same data type. The List data type is the most often used in Python. The list data type is Python’s most exclusive datatype for storing varied data. Python can easily store various kinds of data.

Python Tuple:

A Tuple is a sequence of objects that must be in the same order, and the Tuples cannot be modified. The main difference between a list and a tuple is that it is immutable, which means it cannot be changed. Tuples are often faster than lists in Python since they cannot be updated or modified like lists. Tuples’ primary application is to write-protect data. Parentheses () are used to indicate tuples, while commas are used to divide the components. Register in Python Training In Gurgaon to understand the python program with 100% placement.

Python Strings:

A String is a collection of Unicode characters. The string is referred to as str in Python. Double or single quotes represent strings. If the strings are multiple, use triple quotations “”” or “‘. The characters between the quotations are all string elements.

The only limitation is the machine system’s memory resources. Deleting or updating a string in Python programming will result in an error. As a result, string manipulation is not supported in the Python programming language.

Python Set:

A Set is a collection of unique items that must be in order. Sets are defined with braces and commas separate values. The objects are unordered in a predefined data type. To understand Python concepts, you can apply for Python Training In Hyderabad, which will help you understand the tuple, set, list, dictionary, etc.

A set removes duplicates and keeps unique values. On two sets, operations such as intersection and union can be done.

Python Dictionary:

A dictionary is a Python data type in which collections are unordered, and values are in key-value pairs. This data type is proper when there is a large volume of data. One of the best functions of the Dictionaries data type is accessing the data for which it is optimised. The value can only be obtained if the key has been identified.

In Python, dictionaries are defined using braces (curly brackets). A Pair in the dictionary data type is an item expressed as key: value. The value and key can be of any data type.

Boolean Type:

The TRUE or FALSE data values are stored as a single byte in the BOOLEAN data type. The following table shows internal and literal representations of the BOOLEAN data type. To test for equality or inequality, compare two BOOLEAN values.

Conclusion:

So far, we have discussed the different data types in Python. To learn more about the benefits of Python, you can apply to the Python Training In Kolkata, which will help you understand the oops concept of Python, operators and many other core concepts.

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