In this section, we will see the difference between python2 and python3. The following table gives you some common differences between python2 and python3.
Feature |
Python 2 |
Python 3 |
Print Statement Syntax |
In Python 2, we can use the print function without the parenthesis function. |
In python 3, the print() function has parenthesis before using this function. |
Unicode Support |
Python 2 required additional modules for Unicode |
Python 3 provides better support as compared to Python 2 for Unicode support |
Backward Compatibility |
You have to modify the Python 2 code for running in Python 3 |
Python 3 is not backwards compatible with the Python 2 version |
Division Result |
In Python 2, when we divide two numbers, It will return an integer |
In Python 3, we will get the float number if we divide two numbers in Python 3
Setting Up Python
Python is easy to install compared to Java or another programming language. Follow the following steps to install Python on your computer system.
Step 1: Download the Python Interpreter from the official Python website
Step 2: Install the interpreter in your computer system.
Step 3: Install the Python IDE or Visual Studio to create a Python Project.
Step 4: Create a new Project and write the code over the file.
Input and output are fundamental concepts in the Python language. They are used to get user input from the keyboard and print the result on the computer screen. It is crucial to learn about Python input and output. There is a print() function that prints the output on the computer screen.
- Print print() function
- f-string in Python
- Print without newline in Python
- Python | Output formatting
- Taking Input from the User
- Taking Multiple Input from the User in Python
Python Variables
Variables are developer-defined keywords for storing data values. It is similar to other programming languages, such as Java, Python, and JavaScript. Variables are created before being used. In this section, we will see simple variable declarations in Python.
Program
x = 20
print(x)
Python Numbers
The number is a type of Python. It is a category of numeric type in the Python language. Python supports various types of numbers, including integers, floating-point numbers, and complex numbers. Knowing the number type is essential for working with different types of numbers in Python.
- Python Integer
- Python Float
- Python Complex
- Type Conversion in Python
- Decimal Number in Python
Data types represent the type of data that is stored in the variable. Python developers must know the type of data that will be stored in the variable. Python has a rich set of data types, such as numeric, sequence types, mapping, etc.
- String Data type
- Numeric Type
- Sequence Type
- Mapping Type
- Set Types
- Boolean Types
- Binary Types
- None Type
Python Operators
Operators are the standard symbols in the Python language for performing logical and relational operations. There are six types of operators in the Python language: arithmetic Operators, comparison operators, logical operators, bitwise operators, and so on. Here’s the list of the Python operators.
- Arithmetic Operators
- Assignment Operators
- Comparison Operators
- Logical Operators
- Bitwise Operators
- Special Operators
Python File Handling
In this section, we will discuss file handling in Python. Python file handling is a powerful feature that allows us to create, read, and update files. It has many built-in methods for handling files. We can open an existing file using the file open method, which is an inbuilt method in the Python language, and we can also close that file using the Python file close method.
- Opening and Closing Files in Python
- How to read from a File in Python?
- Writing to File in Python
- Delete a File in Python
- With Statement in Python
Python Conditional Statement
Other languages, including Python, also support conditional statements. Conditional statements provide a choice for the control flow based on a specific condition, which means we can decide the outcome based on the condition.
- If statement
- If-else statement
- If-else-else statement
- Ternary Expression Conditional Statement in Python
Data structures are a way to organise data efficiently and access it easily. They are a fundamental concept for any programming language. In Python, there are many inbuilt data structures available to store and manage your data easily and efficiently. Each inbuilt data structure has its own advantages and disadvantages.
- List Data Structure
- Python Dictionary
- Python Tuples
- Python Set
- Python Frozen Sets
- Python String
- Python bytearray
Functions are codes of blocks where we define the reusable code. They perform specific tasks, allow you to break down the problem into smaller parts, and are more manageable. A function only calls when you want to call it, and it can accept parameters.
- User-defined functions
- Built-in functions
Python Flow Control
In Python, control flow is the order in which function calls, instructions, and individual statements are evaluated or executed. The control flow of a Python program is regulated by various types:
- Conditional statements
- Loops
- Function calls
Python Loops
In this section, we will discuss Python loops. Loops are control statements that repeat the code until the loop condition is false. There are two loops in a Python programming language: for loops and while loops. There are also some statement works with loops, such as continue, break, and pass.
- For Loop
- While Loop
- Loop Control Statements (break, continue, pass)
Python Strings
A string is a sequence of characters. It is the most popular data type in the Python language. In simple words, a string is nothing but an array of characters. But the computer cannot understand the characters. So, it converts the characters into a number that the computer language can understand. This conversion is known as encoding, ASCII, and Unicode.
- String Slicing in Python
- Python String Methods
- String Formatting in Python
Python Exception Handling
In this section, we will see how Python handles unexpected errors while running the program. It enables the developer to write robust and versatile programs. By handling exceptions, we can also handle the error while opening and reading the file in Python. There are user-defined exceptions, and Python’s built-in exceptions are also available.
Python is an object-oriented programming language with four principles. By Understanding OOP concepts, programmers can leverage Python’s capabilities to design and find efficient solutions to complex problems.
Python Collections
Python collection is a module in the Python language used to store data such as lists, dicts, sets, and tuples. It provides a different type of container. A container is an object used to store different data structures such as lists, tuples, dictionaries, etc.
- Counters
- OrderedDict
- DefaultDict
- ChainMap
- NamedTuple
- DeQue
- UserDict
- UserList
- UserString
Python Database Handling
One of the best things about the Python language is that it can be connected with both SQL databases and NO-SQL databases. For example:
- Python MongoDB
- Python MySQL
Pros and Cons of Python
The following table describes the pros and cons of Python language:
Pros |
Cons |
Python is a very beginner-friendly language. It means anyone can learn Python easily. |
Python is an interpreted programming language. It means Python is very slow compared to other compiled languages. |
Python has a big bunch of libraries and frameworks. That makes Python a robust programming language |
Python is less secure because It is a dynamic programming language as compared to other programming languages. |
Python can be interrogated by another
programming language.
We cannot create mobile apps using the Python Language. |
Python is a very scalable language. It means, It can handle large data programs. |
Python is a high-memory consumption language so it is not good for highly intensive tasks which require high memory. |
Python Latest & Upcoming Features
Python 3.12 was released in October 2023. In this section, we will mention all the features that Python offers us.
- Security Fix: Python security patch on some potential vulnerabilities (details are not publicly disclosed).
- SBOM(Software Bill of Materials) Documents: Provide the SBOM documents for CPython, improving transparency in the software supply chain.
Expected Upcoming Features of Python 3.13
- Improved Modules: In Python 3.13, Python will improve some existing modules such as argaprase, array, ast, and so on.
- Improved Exceptions Groups(PEP 653): This improvement will organise the group-related exceptions, making error handling.
Conclusion
The Python language is used in various fields, such as web development, artificial intelligence, data science, and task automation. It is an Object-Oriented Programming language (OOP), which means that Python supports the four principles of Inheritance, Encapsulation, Polymorphism, and Abstraction. Python programming language contains a wide range of libraries and frameworks, and it works on almost all operating systems, such as Windows, Linux, MacOS, and so on. To explore Python in detail, check out the Accelerator Program in Business Analytics and Data Science.