Category: Python

ViitorCloud is dedicated to facilitating business transformation through our specialized services in Python web development. Python has become increasingly popular for artificial intelligence (AI) and machine learning (ML) application development due to its ease of use, flexibility, and extensive libraries. New libraries such as TensorFlow 2.0 and PyTorch have made Python even more attractive for these fields.

The release of new frameworks like FastAPI and Quart has made Python even more powerful for web development, offering improved performance and support for asynchronous programming. In data science too, Python has become the go-to language, with libraries like NumPy, Pandas, and Matplotlib becoming essential tools for professionals in the field.

Overall, choosing Python for your web development needs ensures that you have access to a powerful and evolving language that is widely used across various industries and sectors.

Our python-powered success stories

ViitorCloud is a leading provider of Python-based solutions with clientele & partners in USA and Europe demographics. Our Python development team has a wealth of experience in implementing Python-based solutions for a variety of industries, including healthcare, finance, and e-commerce.

Our Python solutions are designed to be scalable, secure, and efficient, and we are committed to delivering high-quality solutions that meet the unique needs of our clients. With a focus on innovation and cutting-edge technology, ViitorCloud is a trusted partner for companies looking to leverage the power of Python for their specific business needs.

At ViitorCloud, we are passionate about using Python to solve complex business problems. Our team of experienced developers has delivered many successful projects, leveraging the power of Python to build innovative solutions for our clients. With Python’s vast ecosystem of libraries and frameworks, we have the flexibility to tailor our solutions to meet our clients’ & partners’ unique needs and deliver real value to their businesses.

Mit Shah, Python Team Lead

ViitorCloud’s python-driven innovation

Here are five of our most significant Python projects, showcasing our commitment to innovation and excellence:

1. EveryTicket: A SaaS-based ticketing platform that allows businesses to sell tickets to their events seamlessly. The platform offers multiple channels for ticket sales and a powerful admin panel and mobile application for business owners to monitor their operations in real time.
2. EveryCred: It is an IT project that creates a secure blockchain network for storing tamper-proof certificates. Users can customize fields and wording, and a verification mechanism allows third-party authentication.
3. Cow Monitor: Farmers can now experience the power of data-driven farming with Cow Monitor, bringing better health and efficiency to their livestock management. Leveraging IoT-based Bolus Sensors and advanced technologies, our cutting-edge Python solution provides real-time health and temperature data for cows enabling farmers to track their animals’ well-being.
4. CO4: It is a platform that is designed to optimize energy consumption and reduce CO2 emissions. The platform offers features to manage energy consumption costs while improving comfort in buildings and industries. Overall, it provides intelligent energy management solutions for sustainability and efficiency.
5. Newspicking: It is a news web app that fetches the latest news from various sources and categorizes it into different categories like currency, fashion, education, etc. Our app uses customized algorithms to give users the type of news they expect to see.

Python team showcases prowess at our Q2 meetup

At the recently held Q2 meetup hosted by our company, the Python team took center stage with a unique video presentation highlighting their Python portfolio and innovative minds.

At ViitorCloud, we take pride in our Python web development services, which are divided into three specialized subdomains including AI, blockchain, and backend development. Now, let’s find out how Python plays a key role in each of these domains.

The backbone of our backend and cloud services

Using Python, we have built scalable web applications for clients in the backend and cloud services domain, including a real-time messaging application, a cloud-based HR management system, and a customized e-commerce platform.

Harnessing the power of artificial intelligence

We possess a deep understanding of AI and ML. We have utilized Python’s powerful libraries and packages to create systems that use AI to generate 3D models, analyze data, and more.

Building the future with python and blockchain

We have extensive experience in utilizing Python for blockchain development and have delivered successful projects in this domain. We leverage Python’s advanced features and libraries to develop secure, scalable, and efficient blockchain solutions that meet the unique requirements of each client.

Python web development at ViitorCloud

We are committed to enabling business transformation with our Python development services. Our team of expert Python developers has extensive experience working with the latest libraries and frameworks, making us the go-to choice for businesses looking to leverage the power of Python for AI and machine learning (ML), web development, and data science.

Whether you’re looking to build complex AI models, develop high-performance web applications, or perform data analysis, ViitorCloud has the expertise to deliver high-quality Python solutions that meet your business needs.

With Python’s ongoing evolution and improvement, we remain committed to staying at the forefront of the latest trends and developments in the language, ensuring that our clients receive the best possible web solutions.

Technology is developing all around us so fast that wherever we see everything is technology-driven. Whether we go to the grocery store to do some shopping, book tickets, or do any other kind of shopping-related work. We can do this very easily from our mobile phones in all virtual ways. We have many technologies using which we can make software according to our utility.

Each technology is capable of performing best in a particular area. Every technology has such a feature that cannot be provided by any other technology. For the last few years, we have seen that all the developers have a lot of interest in Python. Python is the most used programming language among all the programming languages.

Why has Python gained so much recognition in the last few years, even after there are so many programming languages ​​in the information technology market? We have many such popular and old programming languages, with the help of which many big projects have been successfully created so far. But today we want to tell you about the reasons behind the popularity of Python so quickly. Let’s start:

Why python is preferred by almost every python developer?

There are some main reasons behind all the developers prefer Python. Some of which are major rules:

1. The syntax of Python is much easier than other programming languages, if someone is starting to learn a programming language, then he can start with Python.
2. Large companies use it because of Python’s multiple paradigm programming features.
3. Python has been described by many developers as a high-level general-purpose programming language, with a focus primarily on code readability.

Where is python used?

Python is being used the most today and is being used in almost all fields. Whether it is someone who is just starting to learn programming languages ​​or professional developers, both are using it. A full-stack Python developer today can easily create and deploy applications with the help of Python. You can Hire Python Developers for your next project. Python is being used today in the following places:

1. Mobile application development
2. Web application development
3. Scripting
4. Data Science
5. Database Programming

Advantages of python over other programming languages

Python is a versatile and powerful programming language that offers numerous advantages over other programming languages. Here are some key benefits of using Python:

It’s free

Python programming language is an open-source programming language that is available to all of us for free. With the help of this, our maintenance cost is reduced completely and we can easily use it in commercial projects as well. We can also share the code with others and can edit any code easily.

Easy to use

Python is much easier to use than other programming languages. In other programming languages ​​like C, C++, and Java, we need to remember many big syntax formats. But there is no such syntax in Python. Applications like server-side applications and automation systems can be easily solved with the help of Python.

Affordability

There are many languages ​​such that we have to buy a license only then we can use them. But because Python is an open-source programming language, it can be used by almost all types of businesses. You can Hire Python Developers easily with effective cost. Along with being free, we get many such features in it which make our work even easier. We can design almost all types of applications with the help of Python.

Compatibility

The biggest barrier of any programming language is it’s compatible or not. Generally, not being compatible with the programming language is the cause of the biggest problem for the programs. Python is compatible with all platforms and this is the biggest reason why Python is preferred by all developers.

Big giants using python

You will be surprised to know that although it is an open-source language, big multinational companies are also using it. This increases the credibility of Python even more. Companies such as Google, DropBox, Instagram, and Spotify are all using Python. Now you can guess how much is the scope of Python and what a good programming language it is.

Ease of support and learning

Support of any programming language plays a very important role. Python’s support community consists of all kinds of developers from all over the world. It is also very easy to remember due to the lack of syntax or coding format of Python. But even after this, if we face any kind of problem, then we can take help in the community. Its huge support is also one of the main reasons why Python makes us different from other languages ​​and also provides a great service.

Huge library & frameworks

The main reason behind the popularity of Python is its huge library and framework. Along with this, we also have the feature of automatic memory allocation in Python which helps in making the developer more productive. It’s such a huge library that allows us to create any type of application and software with the help of Python.

With the help of Python, web applications, desktop applications, software for the Internet of Things, and many other types of projects can be easily created. In Python, we also get many other types of frameworks like Pyramid, Twisted, Django, Phalcon, and Flask.

Wide application

Python can be widely used to build all kinds of applications. It is being used in various fields such as creating animations, for scientific applications, creating graphic user interface-based desktop applications, and image processing. It is the first programming language to get so much popularity within such a short time.

Conclusion

The purpose of any programming language is to make your coding easier to coding to make your business easier. Python Developers has been very successful in doing this work, due to which its popularity has spread all over the world. Some of its features which are not present in any other language make it different from all. Today it is widely used all over the world by all multinational companies. Not only on a large scale but even if you are starting to learn to program, then you are advised to start with Python language. We hope you like this information, if you also want to develop any of your projects in Python, then you can contact us.

Nowadays we all use the internet. Keeping your data safe is a big challenge in this world of the internet. There are many types of hackers on the Internet, who are engaged in scouting your data-related information. Cybersecurity plays an important role in avoiding all these hackers and keeping your data safe.

The main thing in cyber security is to protect us from all those activities which are likely to cause any kind of harm to us. As the internet is growing rapidly, so are the career options in cyber security. If you also want to make a career in cybersecurity, then you must have an understanding of any programming language.

There is no doubt that learning a programming language is essential for cybersecurity. But the question arises of which language to start with so that one can make a career in cyber security. As you see in the last few years, the Python language has become the main attraction for cyber security professionals. In such a situation, you must also be thinking is Python programming right for cyber security? Let us know more about it.

Python programming language is the best language to learn cybersecurity. Because with its help, you can perform many actions in cybersecurity, such as doing penetration testing, scanning and malware analysis, etc. Learning Python programming language is often recommended for individuals who want to make a career in cybersecurity. If you want to learn cyber security, please start with Python language.

Benefits of python

So far, we have come to know here that one can make a career in cybersecurity through the Python programming language. Now let us know what the features of the Python programming language are, with the help of which it is such an effective programming language. Python’s design functionality not only prepares us to make a career in cybersecurity but other complex tasks like data science, mathematics, and web development can also be done with its help.

Easy to learn

Learning Python programming language is much easier than other programming languages. The person who is starting to learn to program can first learn the Python language. Writing code in this is much easier than in other programming languages. In other programming languages like C and Java, we need to write a lot of code but in Python, it is done with the help of very little code.

Easy to debug

So far, we have come to know here that it is much easier to learn Python than other languages. But the code structure of Python is also very simple in which the code can be easily understood. With the help of this, we do not have to spend much time finding the mistake in our code.

Open source

Like the Linux operating system, Python is also open-source software. The popularity of Python is very fast, due to which its community is very large. Because it is available to use for free and its support system is also huge because its community consists of developers from all over the world.

How python is useful in cybersecurity

We have understood what the features of the Python programming language are, let us know how it can help us in cyber security.

Professionals can get ready quickly

To become a cyber security professional, we should have an understanding of programming languages, but it takes us a lot of time to learn the programming language. Anyone can easily learn the Python programming language and start their career in cybersecurity. In this sense, the Python programming language is a very good programming language for cyber security.

Forming teams quicky

If we need a faster team, then we can also solve this problem with the help of Python. We can work on a new project by making a team of people who have an understanding of the Python programming language. Here we do not need to wait only for such a professional who is proficient in all programming languages. Some newcomers who are just starting can also work here.

Big library means tools are available already

As we told you, Python programming language is the best programming language for cybersecurity. One of the main reasons for this is that many functions and libraries are already present in it. This simply means that the tools of cyber security already exist. Through this library, actions like penetration testing and analysis can be started immediately from the Python programming language.

Script development

You must know about the script; it is a type of code that is written to perform some specific tasks. It takes us a lot of time and we would have needed to write a lot of code to make this kind of script. But creating scripts with Python is much easier and saves a lot of time.

Nearly used for everything

Python programming language is capable of doing almost everything in cybersecurity. All cybersecurity professionals today prefer Python programming languages because it saves their time and also can work accurately. There will hardly be anything that cannot be done in cyber security by Python programming. All tasks like scanning the network, scanning the port, host discovery, server access, and malware analysis can be done with its help.

Examples of python in action in cybersecurity

Python’s usefulness in cybersecurity is not just theoretical. It is already being used in many security-related tasks. Here are a few examples of Python in action in cybersecurity:

Malware analysis

Python can analyze malware, extract its behavior, and identify its characteristics.

Penetration testing

Python can automate penetration testing tasks like vulnerability scanning, exploitation, and post-exploitation.

Security automation

Python can automate many security tasks like log analysis, monitoring, and incident response.

Log analysis

Python can analyze log files, identify security incidents, and detect anomalies.

Network security

Python can monitor network traffic, detect intrusions, and secure network configurations.

Best python book for cybersecurity

Many of the Best Python Books for Cybersecurity are available if you’re interested. Here are a few examples:

“Violent Python: A Cookbook for Hackers, Forensic Analysts, Penetration Testers and Security Engineers” by TJ O’Connor – is a comprehensive handbook that offers step-by-step guidance on utilizing Python for security purposes, including penetration testing, forensics, and reverse engineering. The book has many code snippets and practical scenarios to help learners effectively apply Python to real-world security challenges.

“Python Forensics: A Workbench for Inventing and Sharing Digital Forensic Technology” by Chet Hosmer – This book is a comprehensive guide to using Python for digital forensics. It covers file, memory, network, and malware analysis and includes practical examples and case studies.

“Black Hat Python: Python Programming for Hackers and Pentesters” by Justin Seitz – This book teaches readers how to use Python for various security tasks, such as network scanning, vulnerability assessment, and malware analysis. It covers the basics of Python programming and how to write effective security tools.

Conclusion

Python for cybersecurity is a versatile and valuable tool for professionals. Its flexibility, ease of use, large community, automation capabilities, and interoperability with other languages make it an excellent choice for security-related tasks. With its vast collection of libraries and modules, Python is sure to have a solution for any security challenge you may face. hire a Python developer, which can help you with your project as per your requirements to enhance security skills in your projects and keep up with the ever-evolving threat landscape.

Frequently asked questions

Python is an excellent language for cyber security due to its simple syntax and powerful libraries. It is widely used in tasks like penetration testing, vulnerability scanning, and automation of security tasks.

Yes, you can use Python for cyber security. It can be used to build security tools, analyze data, automate tasks, and develop exploits.

Many resources are available for learning Python for cyber security, including online tutorials, books, and courses.

Python is important for cyber security because it offers a wide range of tools and libraries that can be used for security tasks. Its versatility allows security professionals to automate tasks, analyze data, and develop custom tools tailored to their needs.

A high-level programming language with a simple and easy syntax, Python supports some of the most amazing programming features such as code reusability and modularity that make it an ideal object-oriented language for developing software programs, applications and much more. Focusing on RAD (Rapid Application Development), the main information about Python language information is that it offers the features that most of its counterparts fail to proffer such as platform independence and amazing flexibility. OpenAI has several open-source tools and projects.

Today, in the era where technological advancement is being considered significantly imperative across the globe and companies worldwide are indulging in comprehensive research to develop technology-based products that can make day-to-day tasks easier, Python comes out as a robust as well as incredibly useful tool.

Let us look ahead to how Python has an unmatchable impact on the AI world and how it could help us in shaping the future in the same field.

Why is python the best choice for the development of an AI based project

With the mantra “DRY” (Don’t Repeat Yourself), Python ensures that the developers do not have to write the same piece of code twice which not only saves time but greatly enhances the development efficiency.

AI and Machine Learning based projects are quite different from conventional software development projects. The underlying difference comes from the comprehensive research needed for every project and the careful integration of logical algorithms at every stage of development, and thus, it requires a programming language or development framework that offers the right technology stack, flexibility and outstanding stability. Python has all these characteristics and at the same time it offers access to incredible frameworks & libraries.

Python’s consistency, simplicity and capability to support the development of reliable systems add to its popularity among AI and Machine Learning developers. Here are the prominent reasons why you should hire a Python developer for your next AI based project.

Python offers platform independence

While creating a comprehensive AI-based application like Chat GPT APP, one of the biggest issues that a programmer/developer might experience is that they have to develop the application individually for every leading digital platform.

Python offers “Platform Independence” and is supported on all the major platforms including macOS, Linux and Windows. Using Python, the developers can create applications or software that can be deployed on any of the leading operating systems without requiring an interpreter. By simply using packages such as “PyInstaller” Python based executable code can be prepared to be run in various platforms. This in turn, saves a lot of development as well as testing time that would be spent otherwise for testing the code for different platforms.

Exhaustive libraries and development tools

With its wonderful collection of amazing libraries and cutting-edge tools, developers can use pre-written pieces of code to add functionalities to their applications. There are various common functions/features that a large array of applications requires (especially when they are being developed under common niches) and Python proves to be one of the best languages in this situation.

By facilitating pre-written excerpts of code, it greatly accelerates the overall development. The outstanding collection of Python’s libraries allows the developers to efficiently handle, access and transform data.

Consistency and simplicity

Python is highly popular for its readability as it offers concise & easy to read codes. The codes written in Python are quite self-explanatory, and thus, it becomes easier to use, share and enhance the code written by another developer in Python.

There are very rare chances of conflicting paradigms or confusions over the written code, and this is why Python promotes an efficacious exchange of tools, codes and algorithms. It promotes collective development where developers can contribute their pieces of code that can be leveraged in various applications. Its coherence, ease of understanding and flexible workflows make it an ideal language for AI development and hiring a Python developer to get started on your next AI or Machine Learning project.

Greater community support

No programming language or development framework can thrive without community support. Being open source, Python gets colossal community support.

Python’s community encompasses a diverse and huge network of developers, AI experts and programmers who are helping the ones needing assistance. To put it simply, if you ever get stuck with your Python-based project, you can seek help and innovative ideas from thousands of Python experts across the globe. There are several Python forums, where AI experts, Machine Learning developers and programmers often discuss the bugs and issues that they face with Python development. Also, a lot of them contribute to Python documentation which is easily available online.

Outstanding data comprehension and visualization options

With an exhaustive collection of libraries, there are numerous visualization tools available within Python. In AI-based projects, it is quite important to be able to showcase the data in an easy-to-read format.

Python offers an array of libraries such as “Matplotlib” which help data scientists to create visually appealing yet easy-to-understand plots, histograms and charts for better presentation, data comprehension, and appealing visualization.

Unmatched flexibility

Another incredible feature that makes Python an ideal choice for AI-based projects is its amazing flexibility. Programmers don’t have to re-compile the source code, and also, they have the option to choose from scription or OOPs. Moreover, programmers can also combine other languages with Python to shape their projects.

There is a large gamut of programming styles that the developers can choose from depending on their projects/ requisites. These styles include procedural style, object-oriented style, functional style and imperative style – each supporting different types of development. With greater flexibility, the chances of error are reduced significantly.

Conclusively, all the above-mentioned features give Python an edge over its counterparts and make it an ideal choice for Machine Learning & AI development. Moreover, the way Python’s pre-built libraries and frameworks are growing continuously, it is getting strengthened for AI development. So, if you are looking forward to creating an AI-based solution, it’s the right time to hire a Python developer.

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Why is AI programming with python popular?

Python’s role in AI can be divided into two parts: building and deploying AI models. Python is used to build AI models by leveraging its powerful libraries and frameworks such as TensorFlow, PyTorch, and Keras. These libraries provide developers with pre-built functions and models that can be easily customized and integrated into their projects.

Python is also used to deploy AI models. Deploying an AI model involves taking the trained model and integrating it into an application or system. Python’s flexibility allows developers to integrate AI models into a wide range of applications, including web applications, mobile applications, and desktop applications.

Python-based AI projects

Python has been in several high-profile AI programming with Python projects. Some of the most notable examples include:

Google’s AlphaGo

AlphaGo is an AI program developed by Google which can defeat the world champion in the ancient Chinese board game, Go. AlphaGo was created using Python and TensorFlow.

Siri

Siri is Apple’s virtual assistant, which uses natural language processing (NLP) and machine learning (ML) to understand and respond to user requests. Siri’s ML algorithms were developed using Python.

Tesla autopilot

Tesla’s Autopilot system uses AI to enable self-driving capabilities in its vehicles. Python is used extensively in the development of the Autopilot system.

Final thoughts on AI programming with python

Ai programming with Python has become the language of choice due to its simplicity, flexibility, and scalability. Its large and active community has also contributed to the development of a vast array of libraries and tools for AI development.