Find many good reasons to develop your next app with Python, right here!
With numerous frameworks, databases, programming libraries, third-party tools, libraries out there, it would not be 100% correct to say that ‘Python dominates the programming language landscape’. Because it does not. But still, it is veteran, highly used, and highly trusted programming language that fosters backend of applications.
The reason why it is called as simple, yet powerful and versatile for software development is due to its simple and easily understandable syntax. Beginners can easily adopt, and learn how to use it. It is versatile because it is being used to accomplish a wide variety of tasks like (1) web development, (2) data science, (3) machine learning, etc. It has a strong library and frameworks which can be used to add more features and functionalities into any web development project or a mobile application. It is portable because it can be used across a variety of platforms line Windows, Linux, Mac, and UNIX.
It is highly suitable for web development as its potential can be leveraged via frameworks like Django and Flask. These frameworks offer a lot of functionality like (1) routing, (2) database access, and (3) user authentication.
Python is also used in Data Science, with popular web development frameworks like NumPy, SciPy, and Pandas by its side. As easy and exciting as it may sound, these are easy to work with and help create visualizations.
Python is also being used in machine learning as its libraries – TensorFlow and PyTorch make it easy to train and deploy machine language models.
Moreover, Python keeps receiving regular updates that makes it trending.
What trends are making Python popular in 2024?
If a programming language trends, the first reason is the inclusion of most sought after technology – i.e. Artificial Intelligence (AI), and its building block Machine Leaning (ML). Can’t ignore Neural Networks (NN), Big Data, and Natural Language Processing (NLP). Frequent updates to libraries like TensorFlow, PyTorch and Sci-kit learn makes it even more in-trend.
Frameworks like NumPy and Pandas keep Python trending amongst web app development companies. Moreover, the rise of fastAPI to create API’s and the growing importance of asynchronous programming reflects Python’s expanding footprint in high-computing tasks and web development.
Python community stretches out to emphasize on sustainability, efficiency, and promotes practices that reduce computational waste and energy consumption.
Python as a programming language is constantly evolving, improving upon its security, compatibility, and features. A summation of this ensures that it always leads the way for any upcoming technology that has been developed on similar lines.
What is Python?
Oh, did I forgot to describe what it is? Python is a programming language, being used to fuel Artificial Intelligence and Data Science projects. In simple words, Python programming language is used for data engineering project development, machine learning and automation. It is interpreted line by line and if that interpreter stops midway, Python syntax blurts an error.
Why is Python Important?
From turbocharging services delivery to fortifying decision making and bolstering citizen engagement and safety, governments can revolutionize operations and elevate citizen service by harnessing AI technologies powered exclusively by Python.
AI in modern times, in tandem with big data analytics could reduce waiting times and efforts for workers in the public, sector, among other benefits. While the inclusion of AI makes Python trend in current times, it is calling out the need for the organizations to check the regulations and guidelines for AI usage, prioritizing training for more people to use AI. This is important because individuals with analytical skills can transition smoothly into AI training, as the baseline skillset overlaps.
Therefore many online course platforms like (1) Edureka, (2) Simplilearn, and (3) Salesforce are increasing the availability of AI/ML courses in institutions and establishing dedicated public institutions for AI education to address the shortage of AI – skilled professionals. It is high time governments all over the globe start acting on it already. The AI wave is just going to exhibit cock – a – hoop.
What we have not discussed so far is that Python:
Python Development Companies are hugely popular across industries – for (1) web development, (2) software development, (3) system automation;
- Python in data science and analytics for (1) leveraging libraries for data analysis, (2) visualization, and (3) machine learning;
- Python in finance and fintech for (1) quantitative analysis, (2) algorithmic trading, and (3) financial modelling;
- in healthcare for (1) bio-informatics, (2) medical data analysis, and (3) ML for diagnostic solutions;
- Python in entertainment and media for (1) game development, (2) content management systems, and (3) digital effects;
- In education for (1) teaching programming concepts, (2) conducting research;
- In manufacturing and engineering for (1) automation, (2) predictive maintenance, and (3) data analysis;
- Python In automation for (1) education industry;
- In testing;
- In video game development for (1) quick prototyping;
Additive: List of Python Development Trends
With all the discussion we have had so far, it is pretty much predictable that Artificial intelligence rules the roost. Data science tags itself to Python by the skin of its teeth. Python lays the groundwork for web development. Machine Learning (ML) pulls the interface to make it integrate with the core of the system. Python GUI programmers chase the (1) add-on game functionality, (2) create 3D graphics, and (3) script various parts of games. Python gusts data visualization via libraries like (1) Matplotlib, (2) Seaborn, (3) Plotly, (4) Bokeh – all because Python is (1) open-source, (2) easy to learn, (3) has numerous libraries, (4) creates interactive charts and graphs. Blockchain sequesters Python programming language from all other technologies for web development due to the presence of some special libraries and frameworks like (1) Solidity, (2) Truffle, (3) Remix that act as online IDE to (1) develop, (2) test and (3) deploy smart contracts on Ethereum Blockchain.
Other Python development trends adopted by web development companies include: (1) Cross platform development, (2) Python for IoT and embedded systems, (3) Python for workflow automation, (4) quantum computing.
Conclusion
Python’s pervasive influence across diverse tech fields in 2024 is undeniable. Its user-friendly nature and vast library ecosystem drive advancements in AI, ML, IoT, game development, data visualization, NLP, and cloud tech. Staying updated on these trends is crucial for businesses and devs alike. Python’s evolution continues, offering a promising landscape for career growth. Simplilearn’s Python Development Training equips you with the skills needed to excel in web dev, data analysis, AI, and more. Hire Python developers to unlock your project’s full potential today!