8 answers
Faisol
Student
Lagos, Nigeria
4
Questions
Updated
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what can you do with python and linux?
What are the things you can do with python programming language and linux operating system together ?
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8 answers
Doc Frick
Career Coach and Mentor
1352
Answers
California, CA
Updated
Doc’s Answer
PYTHON
Python the 3rd most popular programming language in the world behind Java and C+, and its user base is constantly growing. Many industries and companies use Python to analyze data, build machine learning models, create websites, and program software.
EASEY TO LEARN: For those who are new to coding and programming, Python can be an excellent first step. It’s relatively easy to learn, making it a great way to start building your programming knowledge.
EASY TO CODE: Python is relatively easy to read and understand, as its syntax is more like English. Its straightforward layout means that you can work out what each line of code is.
VERY COMPATIBLE: As it’s an open-source language, anyone can use Python to code. What’s more, there is a community that supports and develops the ecosystem, adding their own contributions and libraries.
VERY VERSATILE: As we’ll explore in more detail, there are many uses for Python. Whether you’re interested in data visualisation, artificial intelligence or web development, you can find a use for the language.
LINUX
Just like Windows, iOS, and Mac OS, Linux is an operating system. In fact, one of the most popular platforms on the planet, Android, is powered by the Linux operating system. An operating system is software that manages all of the hardware resources associated with your desktop or laptop. To put it simply, the operating system manages the communication between your software and your hardware. Without the operating system (OS), the software wouldn’t function.
Perhaps the key benefit of using Linux is that it is compatible with a wide range of programming languages. Javascript, C, C++, Python, Perl, PHP and Ruby are just a few of the popular languages that can be used when programming in Linux, making it a really accessible option no matter what your background is in coding.
Another big advantage of using Linux for programming is that the community of other developers that use it is really large. This means that there’s a huge range of free and accessible resources answering all kinds of questions about programming on this operating system, providing plenty of guidance if you’re just starting out with writing code or want to begin a new project. It also makes it easy to quickly solve any problems you come up against, as there’s a helpful community with plenty of forums for asking questions.
Python the 3rd most popular programming language in the world behind Java and C+, and its user base is constantly growing. Many industries and companies use Python to analyze data, build machine learning models, create websites, and program software.
EASEY TO LEARN: For those who are new to coding and programming, Python can be an excellent first step. It’s relatively easy to learn, making it a great way to start building your programming knowledge.
EASY TO CODE: Python is relatively easy to read and understand, as its syntax is more like English. Its straightforward layout means that you can work out what each line of code is.
VERY COMPATIBLE: As it’s an open-source language, anyone can use Python to code. What’s more, there is a community that supports and develops the ecosystem, adding their own contributions and libraries.
VERY VERSATILE: As we’ll explore in more detail, there are many uses for Python. Whether you’re interested in data visualisation, artificial intelligence or web development, you can find a use for the language.
LINUX
Just like Windows, iOS, and Mac OS, Linux is an operating system. In fact, one of the most popular platforms on the planet, Android, is powered by the Linux operating system. An operating system is software that manages all of the hardware resources associated with your desktop or laptop. To put it simply, the operating system manages the communication between your software and your hardware. Without the operating system (OS), the software wouldn’t function.
Perhaps the key benefit of using Linux is that it is compatible with a wide range of programming languages. Javascript, C, C++, Python, Perl, PHP and Ruby are just a few of the popular languages that can be used when programming in Linux, making it a really accessible option no matter what your background is in coding.
Another big advantage of using Linux for programming is that the community of other developers that use it is really large. This means that there’s a huge range of free and accessible resources answering all kinds of questions about programming on this operating system, providing plenty of guidance if you’re just starting out with writing code or want to begin a new project. It also makes it easy to quickly solve any problems you come up against, as there’s a helpful community with plenty of forums for asking questions.
Sahida Khatun
Software Developer
53
Answers
Kolkata, West Bengal, India
Updated
Sahida’s Answer
Python and Linux are a powerful duo, offering a versatile environment for a multitude of tasks. Let's explore some common uses:
Automation and Scripting:
Python, a scripting language, and Linux, a command-line focused operating system, work together seamlessly. Python scripts can automate tasks like file handling, system management, and process control within the Linux shell.
System Administration:
Python scripts streamline system administration tasks like user management, log analysis, backup automation, and system monitoring. Tools such as Ansible, built with Python, are popular for managing and automating IT infrastructure.
Web Development:
Python's web frameworks (like Flask and Django) pair well with Linux servers for web application development and deployment. Python can also manage various aspects of web applications on Linux.
Data Analysis and Visualization:
Python's robust libraries for data analysis (like Pandas), machine learning (like Scikit-learn), and visualization (like Matplotlib and Seaborn) are powerful tools. Linux offers a sturdy environment for running these data-intensive tasks. Jupyter Notebooks, a popular tool for data analysis, can run on a Linux server accessed remotely.
Network Programming:
Python's socket library and other networking libraries simplify the creation of network applications. Python can create network servers, clients, and tools for networking tasks, interacting with Linux's rich set of networking utilities and services.
Security and Penetration Testing:
Python is a go-to for cybersecurity tasks like penetration testing, network scanning, and writing security scripts. Tools like Metasploit and Scapy, often used in penetration testing, are Python-based and run on Linux.
Container Orchestration:
Python scripts can manage container orchestration tools like Kubernetes or Docker, handling tasks like deployment, management, and scaling of containerized applications. The Kubernetes client library (client-python) allows Python interaction with Kubernetes clusters.
Monitoring and Logging:
Python scripts can analyze log files generated by Linux services, creating custom monitoring solutions for your infrastructure. Tools like Prometheus, often used for monitoring, support Python.
Database Interactions:
Python has robust support for database interactions. Scripts can connect to, query, and manipulate databases on a Linux server. Popular database connectors like psycopg2 (PostgreSQL) and mysql-connector-python (MySQL) are Python-compatible.
Cloud Infrastructure Automation:
Python can automate tasks on cloud platforms like AWS, Azure, or Google Cloud, often running these scripts on Linux servers. Libraries like Boto3 (AWS SDK for Python), Azure SDK for Python, and Google Cloud Client Libraries enable Python scripts to interact with cloud services.
In conclusion, the synergy of Python and Linux provides a flexible environment for a wide array of development, automation, and system administration tasks. The extensive ecosystem of Python libraries and the adaptability of the Linux operating system make them a formidable pair for numerous applications.
Automation and Scripting:
Python, a scripting language, and Linux, a command-line focused operating system, work together seamlessly. Python scripts can automate tasks like file handling, system management, and process control within the Linux shell.
System Administration:
Python scripts streamline system administration tasks like user management, log analysis, backup automation, and system monitoring. Tools such as Ansible, built with Python, are popular for managing and automating IT infrastructure.
Web Development:
Python's web frameworks (like Flask and Django) pair well with Linux servers for web application development and deployment. Python can also manage various aspects of web applications on Linux.
Data Analysis and Visualization:
Python's robust libraries for data analysis (like Pandas), machine learning (like Scikit-learn), and visualization (like Matplotlib and Seaborn) are powerful tools. Linux offers a sturdy environment for running these data-intensive tasks. Jupyter Notebooks, a popular tool for data analysis, can run on a Linux server accessed remotely.
Network Programming:
Python's socket library and other networking libraries simplify the creation of network applications. Python can create network servers, clients, and tools for networking tasks, interacting with Linux's rich set of networking utilities and services.
Security and Penetration Testing:
Python is a go-to for cybersecurity tasks like penetration testing, network scanning, and writing security scripts. Tools like Metasploit and Scapy, often used in penetration testing, are Python-based and run on Linux.
Container Orchestration:
Python scripts can manage container orchestration tools like Kubernetes or Docker, handling tasks like deployment, management, and scaling of containerized applications. The Kubernetes client library (client-python) allows Python interaction with Kubernetes clusters.
Monitoring and Logging:
Python scripts can analyze log files generated by Linux services, creating custom monitoring solutions for your infrastructure. Tools like Prometheus, often used for monitoring, support Python.
Database Interactions:
Python has robust support for database interactions. Scripts can connect to, query, and manipulate databases on a Linux server. Popular database connectors like psycopg2 (PostgreSQL) and mysql-connector-python (MySQL) are Python-compatible.
Cloud Infrastructure Automation:
Python can automate tasks on cloud platforms like AWS, Azure, or Google Cloud, often running these scripts on Linux servers. Libraries like Boto3 (AWS SDK for Python), Azure SDK for Python, and Google Cloud Client Libraries enable Python scripts to interact with cloud services.
In conclusion, the synergy of Python and Linux provides a flexible environment for a wide array of development, automation, and system administration tasks. The extensive ecosystem of Python libraries and the adaptability of the Linux operating system make them a formidable pair for numerous applications.
Thank you, this is really helpful.
Faisol
Amarnath Waghmare
software engineer
5
Answers
Pune, Maharashtra, India
Updated
Amarnath’s Answer
Python and Linux are two distinct entities with different purposes and roles in the computing world.
Python:
Type: Python is a programming language.
Purpose: It is designed for general-purpose programming and is widely used for web development, data science, artificial intelligence, automation, and more.
Nature: Python is a high-level, interpreted, and dynamically-typed language, known for its readability and ease of use.
Linux:
Type: Linux is an operating system kernel.
Purpose: Linux is the core component of the Linux operating system. It provides low-level services to manage hardware resources and allows other software to run on a computer. Various distributions (like Ubuntu, Fedora, CentOS) package the Linux kernel along with other software to create complete operating systems.
Nature: Linux is open-source and part of the Unix-like operating systems. It is known for stability, security, and being highly customizable.
In summary, Python is a programming language used for writing software applications, while Linux is an operating system kernel that forms the basis of many open-source operating systems. They serve different purposes in the software development and computing ecosystems. It's also worth noting that Python programs can run on Linux and many other operating systems.
Python:
Type: Python is a programming language.
Purpose: It is designed for general-purpose programming and is widely used for web development, data science, artificial intelligence, automation, and more.
Nature: Python is a high-level, interpreted, and dynamically-typed language, known for its readability and ease of use.
Linux:
Type: Linux is an operating system kernel.
Purpose: Linux is the core component of the Linux operating system. It provides low-level services to manage hardware resources and allows other software to run on a computer. Various distributions (like Ubuntu, Fedora, CentOS) package the Linux kernel along with other software to create complete operating systems.
Nature: Linux is open-source and part of the Unix-like operating systems. It is known for stability, security, and being highly customizable.
In summary, Python is a programming language used for writing software applications, while Linux is an operating system kernel that forms the basis of many open-source operating systems. They serve different purposes in the software development and computing ecosystems. It's also worth noting that Python programs can run on Linux and many other operating systems.
Arun Perumal Santhanakrishnan
Software Engineer
5
Answers
Cary, North Carolina
Updated
Arun’s Answer
Python is a good language to learn. Python is being used widely for all software/business use cases. Python is also one of the widely used language for AI/ML etc. which will be in demand in near future. Good choice and good luck!
Nawfel BERAICH
Solution Architect
1
Answer
Paris, Île-de-France, France
Updated
Nawfel’s Answer
As mentioned in all the previous answers, Python with Linux is a very powerful duo.
Think of it as a powerful yet lightweight hosting system (Linux) where you can install any library or engine, with full control over its configuration, with a full visibility on how it runs, and a language that doesn't require much computation power to do simple and advanced calculations or processing.
However, as some languages are more suited to some tasks than the others, you can try to run a website using python on Linux, but it might not be the best option, except if your website is dynamic and you have some processing that would need to read files or write them, apply some mathematical formulas, or simply read and write from a "database", then you can "call" your python program that runs on Linux, from your website.
Familiarise yourself with the Linux concepts and commands, you can find plenty of cheat sheets ;)
Learn the basics of algorithmics
Learn the basics of python
Write a simple webservice using python and running on Linux
Think of it as a powerful yet lightweight hosting system (Linux) where you can install any library or engine, with full control over its configuration, with a full visibility on how it runs, and a language that doesn't require much computation power to do simple and advanced calculations or processing.
However, as some languages are more suited to some tasks than the others, you can try to run a website using python on Linux, but it might not be the best option, except if your website is dynamic and you have some processing that would need to read files or write them, apply some mathematical formulas, or simply read and write from a "database", then you can "call" your python program that runs on Linux, from your website.
Nawfel recommends the following next steps:
Russ Efendiyev
7
Answers
Updated
Russ’s Answer
Machine Learning and Artificial Intelligence in general is heavily reliant on Python. Might be a great area to look into. It's also a great opportunity to look into other languages too that might be tangentially interesting (like NodeJS for backend integration)
James Wilson
Software Developer
3
Answers
Houston, Texas
Updated
James’s Answer
The answer might be a bit dizzying because it is just about anything. If you look more closely at what Python (or any programming language) is, it all makes a lot more sense. A computer has inputs and outputs and programs (in any language) read from inputs and write to outputs. The input could be a number things, such as text directly from the user, or input via a graphical interface, or any kind of file, such as image files or pdfs or even peripheral devices such as thermometers or cameras or accelerometers. Then the output can again be basically any of the above. A program will interact with the operating system via individual simple calls known as "primitives". These are the simplest thing the program can do to interact with the inputs and outputs. For example, there might be a primitive called "drawPixel" which draws a single pixel in a certain color on the screen or another called "print" that prints a single byte (or character) to an output file.
So, for this reason, any language (not just Python) can do anything that computer can do which is basically limited only to whatever that computer is connected to. Normally, we think of files and the screen as our only inputs/outputs, but it could just as well be connected to some device as mentioned above.
So, if you have some project goal in mind, I would start by looking into the technology that is available to accomplish it, but if you're interested in Python itself, I would just start playing around, learning, and practicing. There are entire worlds of projects just involving the "normal" inputs and outputs of files and the screen and they would serve very well in learning the fundamentals of the language which would apply to any kind of project.
So, for this reason, any language (not just Python) can do anything that computer can do which is basically limited only to whatever that computer is connected to. Normally, we think of files and the screen as our only inputs/outputs, but it could just as well be connected to some device as mentioned above.
So, if you have some project goal in mind, I would start by looking into the technology that is available to accomplish it, but if you're interested in Python itself, I would just start playing around, learning, and practicing. There are entire worlds of projects just involving the "normal" inputs and outputs of files and the screen and they would serve very well in learning the fundamentals of the language which would apply to any kind of project.
Patrick Meyer
Executive - Data Analytics and AI
566
Answers
Naperville, Illinois
Updated
Patrick’s Answer
Faisol, I want to first thank you for reaching out and asking your questions regarding how one could use python and the Linux OS. Faisol, you should know that the combination of Python programming language and the Linux operating system opens up a plethora of powerful possibilities. I hope the information that I have below provides you some insight and/or help.
To begin with, Python is a popular choice for scripting, automation, and all-purpose programming. When combined with Linux, it bolsters the potential to develop sturdy and efficient solutions. Particularly in system administration, Python scripts can simplify repetitive tasks, control system settings, and ensure smooth interaction with the Linux environment.
Moreover, Python's adaptability extends to web development, allowing the creation of dynamic websites and server-side applications on Linux servers. Also, Python's comprehensive libraries and frameworks make it a prime choice for data science and machine learning applications. It offers tools for data handling, analysis, and model creation, which can be implemented on Linux-based systems for scalability and efficiency.
Python's compatibility with Linux also aids in developing network applications, cybersecurity tools, and a variety of other software projects. The collaboration of Python and Linux provides a solid platform for a range of projects, from software development to system administration. This makes it a flexible and potent combination for individuals like you, eager to explore and innovate in the computer science field.
Lastly, I urge you to delve into this dynamic pair, experiment with different projects, and utilize the strengths of Python and Linux to boost your skills and make a notable contribution to the tech world.
To begin with, Python is a popular choice for scripting, automation, and all-purpose programming. When combined with Linux, it bolsters the potential to develop sturdy and efficient solutions. Particularly in system administration, Python scripts can simplify repetitive tasks, control system settings, and ensure smooth interaction with the Linux environment.
Moreover, Python's adaptability extends to web development, allowing the creation of dynamic websites and server-side applications on Linux servers. Also, Python's comprehensive libraries and frameworks make it a prime choice for data science and machine learning applications. It offers tools for data handling, analysis, and model creation, which can be implemented on Linux-based systems for scalability and efficiency.
Python's compatibility with Linux also aids in developing network applications, cybersecurity tools, and a variety of other software projects. The collaboration of Python and Linux provides a solid platform for a range of projects, from software development to system administration. This makes it a flexible and potent combination for individuals like you, eager to explore and innovate in the computer science field.
Lastly, I urge you to delve into this dynamic pair, experiment with different projects, and utilize the strengths of Python and Linux to boost your skills and make a notable contribution to the tech world.