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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.

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.

Python Operators

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

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

Python Object Types

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

OOPS

  1. 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

Python Built-in Functions

Common Built-in Functions

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

Dates

  1. strftime
  2. strptime
  3. timedelta

Python Tutorial on Math Functions

Below table will show you the list of Mathematical function available in Python

Python Tutorial on String Functions

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

List Functions

The List Data type has separate methods for adding, removing, finding, manipulating, and reversing list items. The following are the available list functions in 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 Data Science

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.

NumPy Module

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

Pandas Module

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

  1. Series
  2. DataFrame
  3. Pandas plot charts

matplotlib Module

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

Python FAQ’s

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

Python Examples

  1. Python Programming Examples