Python Programming
Python Promgramming is a general purpose, simple, high-level, interpreted and object oriented programming language that is widely used in computer science for a variety of tasks, such as web development, data analysis, artificial intelligence, and scientific computing. It is known for its simplicity, readability, and flexibility, making it a popular choice for beginners and experienced programmers alike. Additionally, Python has a large and active community, which provides a wealth of libraries and frameworks that can be easily integrated into projects.
python is a very simple and easy to learn programming language. It support various programming approaches.
Python is a dynamic programming language so don't need to declare any variable data type.
TOUCH POINTS :
- PYTHON HISTORY
- SOME BASIC SYNTAX
- SYNTAX OF PYTHON
- WHY LEARN PYTHON
- ADVANTAGES OF PYTHON
- WHERE IT USED
- POPULAR FRAMEWORKS
- DISADVANTAGE OF PYTHON
PYTHON HISTORY
Python is a programming language that was created by Guido van Rossum in 1989. Van Rossum had been working on a project called "ABC" that aimed to create a programming language that was easy to learn and use, and which could be used for a wide range of tasks. He began work on Python as a successor to the ABC project, drawing inspiration from other programming languages such as C, Modula-3, and ABC itself.
Python was first released publicly in 1991, and its design philosophy emphasizes code readability and a syntax that allows programmers to express concepts in fewer lines of code than languages such as C++ or Java.Python quickly gained popularity in the early 1990s, and over time, it has become one of the most widely used programming languages in the world. It is used in a wide variety of fields, including web development, scientific computing, data analysis, artificial intelligence, and education.
Python has continued to evolve over the years. Python 2 was released in 2000, and Python 3 was released in 2008. Python 3 is the current version of the language and it is not backward-compatible with the older Python 2.x versions. Python 3 has several new features compared to Python 2.x versions and it is recommended to use Python 3 for new projects.
Python has a large and active community of users and developers, which has led to the creation of a wide range of libraries and frameworks that can be easily integrated into Python projects. This has also helped to make Python one of the most versatile programming languages in use today.
PYTHON : SOME SYNTAX
Python is a high-level programming language, which means that its syntax is designed to be easily read and understood by humans. Some basic syntax elements of Python include:
-
Variables : Variables are used to store values in Python. They are
assigned using the equal sign (=). For example: x = 5 Data
types: Python supports several data types, including integers, floats,
strings, and booleans. For example: x = 5 (integer), y = 3.14 (float),
name = "John" (string), is_student = True (boolean)
Indentation : Python uses indentation to indicate the scope of code blocks, such as those within loops and functions. This means that lines of code that are indented at the same level are considered to be part of the same code block. For example:
if x > 5:
print("x is greater than 5")
x = x - 1
Comments : Comments are used to explain the code and are ignored by the interpreter. They start with a # sign. For example:
# This is a comment
x = 5 # This is also a comment
Functions : Functions are blocks of code that can be called multiple times. They start with the keyword "def" and end with ":". For example:
def greet(name):
print("Hello, " + name)
greet("John")
These are just a few of the basic syntax elements of Python, and there are many more to learn as you continue to work with the language.
PYTHON : SYNTAX
Python uses the indentation to define a block of code rather then the semicolon and curly braces. Indentation is nothing but adding whitespace before the statement when it is needed.
def func():
statement 1 statement 2
…………………
…………………
statement N
PYTHON : WHY LEARN
There are many reasons why one might choose to learn Python, some of which include:
- Simplicity : Python has a simple and easy-to-learn syntax, making it a great language for beginners to learn programming.
- Versatility : Python can be used for a wide range of tasks such as web development, data analysis, artificial intelligence, and scientific computing.
- Popularity : Python is one of the most popular programming languages in use today, which means there is a large community of users and developers who can provide support and a wealth of libraries and frameworks that can be easily integrated into projects.
- Job opportunities: The demand for Python developers is high, and it is one of the most sought-after skills in the job market.
- Open-source : Python is open-source, which means that it is free to use and distribute, and that the source code is available for anyone to view and modify.
- High-level : Python is a high-level programming language, which means that its syntax is designed to be easily read and understood by humans, and that it is closer to natural language than machine language.
- Large Standard Library : Python has a large standard library that includes modules for web development, string operations, data manipulation, and more. This makes it easy to perform common tasks without having to write the code from scratch.
- Great for scripting and automation : Python's simple syntax and large standard library make it well-suited to scripting and automation tasks, such as automating repetitive tasks or creating simple scripts to perform specific tasks.
PYTHON : ADVANTAGES
There are many advantages of using Python as a programming language, some of which include:
- Easy to learn and use : Python has a simple, easy-to-learn syntax that makes it a great language for beginners to learn programming.
- Versatile : Python can be used for a wide range of tasks such as web development, data analysis, artificial intelligence, and scientific computing.
- Popularity : Python is one of the most popular programming languages in use today, which means there is a large community of users and developers who can provide support and a wealth of libraries and frameworks that can be easily integrated into projects.
- Large Standard Library : Python has a large standard library that includes modules for web development, string operations, data manipulation, and more. This makes it easy to perform common tasks without having to write the code from scratch.
- Open-source : Python is open-source, which means that it is free to use and distribute, and that the source code is available for anyone to view and modify.
- High-level : Python is a high-level programming language, which means that its syntax is designed to be easily read and understood by humans, and that it is closer to natural language than machine language.
- Cross-platform : Python can run on a wide variety of platforms including Windows, Mac, and Linux, which makes it a great choice for cross-platform development.
- Great for scripting and automation : Python's simple syntax and large standard library make it well-suited to scripting and automation tasks, such as automating repetitive tasks or creating simple scripts to perform specific tasks.
- Large Community : Python has a large and active community that provides a wealth of libraries, frameworks, and resources. This makes it easy to find help and support when you need it.
- Excellent for data analysis and visualization : With the help of libraries like Pandas and Numpy, Python is an excellent choice for data analysis and visualization, as it makes it easy to process and manipulate large amounts of data.
PYTHON : WHERE IT USED
Python is used in many industries and fields, some examples include:
- Software development and engineering
- Data science and analysis
- Machine learning and artificial intelligence
- Finance and trading
- Web development and web scraping
- Gaming and game development
- Network and system administration
- Scientific computing and research
- Education and e-learning
- GIS and mapping
- Internet of Things (IoT) development
PYTHON : POPULAR FRAMEWORK
- Django : A high-level web framework that enables rapid development of secure and maintainable web applications. It follows the model-view-controller (MVC) architectural pattern and includes an ORM, an admin panel, and built-in support for user authentication and security.
- Flask : A lightweight web framework that is easy to use and perfect for small to medium-sized web applications. It is a micro-framework that does not include an ORM or built-in support for user authentication and security.
- TensorFlow : A powerful open-source library for machine learning and deep learning. It is used for building, training, and deploying machine learning models.
- scikit-learn : A simple and efficient library for machine learning in Python. It is built on NumPy, SciPy, and Matplotlib, and provides a wide range of algorithms for classification, regression, clustering, and more.
- Pandas : A library for data manipulation and analysis. It provides easy-to-use data structures and data analysis tools for handling and analyzing large data sets.
- NumPy : A library for scientific computing in Python. It provides support for large, multi-dimensional arrays and matrices of numerical data, as well as a large library of mathematical functions to operate on these arrays.
- Pygame : A library that enables the development of video games using Python. It provides functionality for creating 2D games, and it works with the SDL library.
- Selenium : A web testing library that allows you to automate browser activities. It supports multiple browsers, and it can be used for both functional and performance testing.
- OpenCV : A computer vision library that provides a wide range of tools for image and video processing. It can be used for tasks such as object detection, face recognition, and image manipulation.
- BeautifulSoup : A library for web scraping that allows you to parse HTML and XML documents. It can be used for extracting data from web pages, and it supports searching, navigating and modifying the parse tree.
PYTHON : DISADVANTAGE
Here are some potential disadvantages of using Python:
- Performance : Python is an interpreted language, which can make it slower than compiled languages such as C and C++. This can be an issue for certain types of computationally intensive tasks, such as video processing or machine learning.
- Memory management : Python uses a garbage collector to manage memory, which can cause performance issues for large data sets or in cases where real-time processing is required.
- Error-prone : Python is a dynamically typed language, which means that type errors can only be caught at runtime. This can make it more error-prone than a statically typed language like Java, where type errors are caught at compile-time.
- Limited mobile development : While Python can be used for mobile app development, the performance may not be as good as with natively compiled languages like Java for Android and Swift for iOS.
- Absence of some feature : Python lacks certain features which are present in other languages like it doesn't have a built-in switch-case statement and doesn't support operator overloading.
- Lack of backwards compatibility : Python has a tendency to introduce backwards-incompatible changes with new versions, which can make it difficult to maintain older code.
- Lack of concurrency : Python uses the Global Interpreter Lock (GIL) which prevents multiple threads from executing Python bytecode simultaneously.
- Dependence on third party libraries : Python depends a lot on third-party libraries, which can be a problem if the library is not well maintained or has a security vulnerability.
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