Python Tutorial

This Python tutorial helps you to learn Python in the best possible way. We provide multiple examples on each topic. So, you can easily understand these Python tutorial topics. Python Programming language is an object-oriented language, which is sturdy and the fastest growing language in the current situation. Python is very popular, probably because it’s easy to learn code, cross-platform support, and libraries that support Data Scientists to analyze and visualize data.

What I like about Python Programming language is its syntax structure, which removed those traditional flower brackets, semicolons, punctuations. These changes make our code simple and easy to read/understand. Being a C# developer, Python impressed me with its simple syntax, where I have to write a lot of lines to get the same result in C#. Because of this Python’s simple syntax rules, less coding drives the users to learn. I can say, by far, Python is the best language for the people who are new to programming and experienced with other programming languages.

Python Operators Tutorial

In this Python tutorial, we used the default Python IDE for all the examples to explain each topic. However, you can choose your favorite Free/Paid code editors. The Python programming language supports the following operators. We can use these operators to perform calculations on operands or values.

  1. Install Python IDE
  2. Python Arithmetic Operators
  3. Python Assignment Operators
  4. Python Bitwise Operators
  5. Python Comparison Operators
  6. Python Logical Operators

Python Tutorial on Flow Control Statements

Generally, flow control statements contain a condition followed by a block of code. The condition always returns either True or false. Based on the result, the flow control statement will execute the block of code. For instance, if True, the true statements will execute. Otherwise, False statements execute or exit from a control flow statement.

  1. Python If Statement
  2. Python If Else Statement
  3. Python Nested If Statement
  4. Python Elif Statement
  5. Python While Loop
  6. Python For Loop
  7. Python Break Statement
  8. Python Continue Statement

Python Tutorial on Object Types

Within the whole Python Tutorial page, this section is the most important one. It covers all the Python object Types, and each one is explained with multiple examples.

  1. Python Dictionary
  2. Python datetime
  3. Difference between Dictionary copy and = operator
  4. Python Sets
  5. Python Strings
  6. Python Tuples
  7. Python Lists
  8. Python List Comprehensions
  9. Python Lambda
  10. Python Functions
  11. Types of Functions
  12. Python Iterators
  13. Python Files
  14. Python Directory
  15. Python Array

Python OOPS Tutorial

This Python tutorial section covers the object oriented programming.

  1. Python Classes and Objects
  2. Class Methods
  3. Inheritance
  4. Method Overriding
  5. Static Methods

Python SQL Server Tutorial

The following are some of the queries that we can use on SQL Server.

  1. Connect Python and SQL
  2. Create Database
  3. Select Records from Table
  4. Select Sorted Table Records
  5. Top 10 records
  6. Where Clause
  7. ASCII Table

Python Built-in Functions Tutorial

The Python interpreter has many built-in functions. The following are the list of all the available functions in Python programming language. To make more sense, we divided them into various sections based on their functionalities. 

Python Common Functions

The below shown Python functions are the standard functions for all the objects. I mean, you can use these functions on Lists, Strings, Tuples, Set, and Dictionary objects.

  1. Python len
  2. Python max
  3. Python map
  4. Python print
  5. Python sort and sorted
  6. Python range
  7. Python zip

Python Dates

  1. strftime
  2. strptime
  3. timedelta

Python Tutorial on Math Functions

Please follow this link Mathematical function to view the tutorial on the available math functions in Python.

Python Tutorial on String Functions

Unlike List, Python string is immutable. So, we cannot perform adding, removing kinds of operations on this. However, one can perform a slice or concatenate. Apart from this, a string has its own methods to convert it to uppercase and lowercase, splitting, joining, etc. This String Functions link in this Python tutorial sections show the list of available string methods.

Python List Functions Tutorial

The Python List Data type has separate functions for adding, removing, finding, manipulating, and reversing list items. Please use the List Functions link to understand the list functions with examples.

Python Dictionary Functions Tutorial

Apart from the common functions, Python dictionary has separate functions to select, delete, update, and set values and keys. The following are the available Python dictionary functions.

  1. copy
  2. clear
  3. fromkeys
  4. get
  5. items
  6. keys
  7. len
  8. pop
  9. popitem
  10. setdefault
  11. update
  12. values

Python set Functions

  1. add
  2. clear
  3. copy
  4. discard
  5. len
  6. pop
  7. set max
  8. set min
  9. remove
  10. sorted
  11. union

Python Tuple Functions

  1. index

Python Data Science Tutorial

Similar to any other programming language, Python is an excellent language with all the bells and whistles. However, with the introduction of the Numpy module and few other popular libraries like Pandas, SciPy, and matplotlib, it becomes a heart to Data Science precisely Data scientists. All these libraries made this regular language to the most powerful language in the current scientific world.

Python NumPy Module Tutorial

Python NumPy module is an open-source module that provides various functions to perform mathematical operations on N-dimensional array objects.

  1. Python Numpy Array
  2. Python Numpy Aggregate Functions
  3. Python Arithmetic Operators and Functions
  4. Python Numpy Bitwise Operators and Functions
  5. Python Numpy Comparison Operators and Functions
  6. Python Numpy Exponential and Log Functions
  7. Python Numpy Logical Operators and Functions
  8. Python String Functions
  9. Python Trigonometric Functions
  10. Generate Random Array
  11. Python Numpy Array Shape
  12. Python Numpy concatenate

Python Pandas Module Tutorial

Please refer to Charts Data tutorial to understand the data that we use to plot charts using Python Pandas and matplotlib libraries.

  1. Python Series
  2. Python DataFrame
  3. Convert Python Dictionary to Pandas DataFrame
  4. Convert Python List To Pandas DataFrame
  5. Python Pandas plot charts

Python matplotlib Module Tutorial

  1. Python Bar Chart
  2. Python Histogram
  3. Python Pie Chart
  4. Python Scatter Plot

Python FAQ’s

  1. Python List Length
  2. Python Sort List Items
  3. Python String Concatenation
  4. Python String Length
  5. Python Substring

Python Examples

  1. Python Programming Examples