In today’s digital era, Many language came and disappear but Python is one of those few renowned languages that is enjoying a high run and demand in this digital programming world. Python has experienced tremendous growth of around 18-19% in the last 5 years. As per the PYPL Index Python is ranking at the #1 position for April 2021 index. The language ranks among the most popular programming languages in several other renowned platforms also such as Stack Overflow, Github, etc. Also, the compatibility of Python with trending technologies like AI & ML makes it more preferable among the developers.
What is Python
So, till now you understand what Python is. Let’s deep dive and follow along. Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development.
Python was created in the 1980s as a teaching language by Guido van Rossum. The main objective behind python is to bridge the Gap between shell and C programming.
“I thought we’d write small Python programs maybe 10 lines, maybe 50, maybe 500 lines -That would be a big one.” ~ Guido van Rossum
But today, top companies around the world have millions lines of Python code driving their products in everything from data analysis to finance. So how did we go from that almost 40 years ago thinking Python scripts we’re gonna be a dozen lines of the most to where we are today where Python becomes a data science Powerhouse. So, isn’t it exciting !
1990s- The Scripting Era
Motto- “Python as Alternative to Bash”
2000s- The SciPy Era
Motto- “Python as Alternative to MatLab
2010s- The PyData Era
Motto- “Python as Alternative to R”
In now-a- days Python is evolving for Cloud Computing and Data Analysis and Automation-Flexibility fields.
Comparison of Python as Swiss-Army-Knife
It’s like a Swiss-Army-Knife that anybody can contribute to. Strength of Python is you have a huge capabilities but the weekness is Hard to know where to Start.
So where do I start?
Conda- Conda is a cross-platform package and dependency manager, focused on python for scientific and data-intensive computing.
It comes in two flavours-
– MiniConda is a minimal install of the conda command-line tool.
– Anaconda is MiniConda plus hundreds of common packages.
We recommend MiniConda.
Then What about pip???
Pip installs Python packages in any environment while Conda installs any package within conda environments.
Latest Python Version is Python 3.9.2 released on 19 February 2021. For more details about versions check here.
Hurray! Now you can start with your first Python Program. For example, look at the following code snippets to print “hello world” in Java and Python.
So, by seeing the above snippets We hope you got understood why Python is growing exponentially. Python has been the favorite language of almost every individual who is just starting with the programming domain for the past some years.
We hope you are with us till now. Now we will understand in detail why to use Python and the reason behind it’s popularity. The primary reason behind this is a quite simple syntax that makes it easy to read, learn, and use. People want to use Python because of its intuitiveness, beauty, philosophy and readability. The language is extensively used for web development, software development and with several trending technologies such as Machine Learning, Artificial Intelligence, Data Science, etc. The language offers some enriching features such as rich library support, automatic garbage collection, easier integration with other languages, GUI Programming support together with better and strong community support.
These are some of the Reasons Why You Must Consider Writing Software Applications in Python.
- Readable and Maintainable Code
- Multiple Programming Paradigms
- Compatible with Major Platforms and Systems
- Robust Standard Library
- Many Open Source Frameworks and Tools
- Simplify Complex Software Development
- Adopt Test Driven Development
What is Python Used for
Python is used in virtually every industry and scientific field that you can imagine. Here we are going to explain about some of the most common useful fields.
- Data Science – Perhaps one of the most popular applications of Python is data science. The power of the Python libraries developed for data analysis and visualization is amazing. With a Python data visualization library, you can create a wide variety of plots and visual representations.
- Machine Learning – Python is an essential tool for every developer who wants to enter the fascinating area of Machine Learning.
Machine Learning is an area of Computer Science that creates systems that are able to learn on their own. This type of system uses algorithms that are continuously improved based on input data that helps the system “learn”. It learns how to respond autonomously to new scenarios by generating an appropriate output in new scenarios based on previous knowledge.
- Web Development – Python is used in the field of web development to build the back-end of web applications.
In a web application, all the code used to interact with the user and create what the user sees is called the front-end part of the application.
Python is used to code the behind-the-scenes functionality of the application, the part that powers all the functionality of the application but that you don’t see directly on screen. It handles the server-side of the application, interacting with all the necessary databases when the user requests data. It returns the requested data to the user to make the application run as expected.
And some other fields are as follows.
- Computer Science Education.
- Computer Vision and Image Processing.
- Game Development.
- Medicine and Pharmacology.
- Biology and Bioinformatics.
- Neuroscience and Psychology.
- Other areas such as robotics, autonomous vehicles, business, meteorology, and graphical user interface (GUI) development.
Companies which use Python
The Python programming language is widely used by companies around the world. arge technology companies tend to be polyglot (use many programming languages rather than standardizing on one), with Python either as a primary language or the “glue” that helps all the other languages fit together. Some large companies like Google, Uber, Twilio, Netflix, Spotify, Instagram and Facebook uses Python in their development stacks.
Common Myths about Python
- High Cost: If you think Python involves high cost, you are highly mistaken. It is an open-source programming language and it’s completely free to download and use it. Most of Python’s licenses are free for use.
- Only A Scripting Language: Python is both a scripting and an interpreted programming language. This duality has made it a general-purpose language. It uses automated memory management and is a dynamically typed language.
- Less Scaling: Python can scale to a greater extent. However, as it is not automated scaling needs some engineering. Most of the scaling issues that crop up are because of wrong architecture.
- Low Speed: Python is faster than most of the other programming languages such as Ruby and C++. Recent versions of this language have drastically improved the speed.
- Security & Support Issues: There is a common myth that Python is not secure and the code can be easily hacked. But in reality, Python is used for building networking security structures.
Opportunities for Python Developers
It is said that Data science combined with Python as the best career and future taking one to new heights. IT companies are now depending on Python for the major work. Community support for Python is vast and diverse. There are many famous open source events and conferences happen through out the year internationally by many Python communities.
The international community for the Python programming language holds several conferences (PyCons) each year. PyCons are hosted all around the world, mostly organized by volunteers from local Python communities.
There are some other conferences and workshops also like DjangoCon Europe, EuroPython, EuroSciPy, OSCON etc.
So, Python is a general-purpose language sometimes referred to as utilitarian which is designed to be simple to read and write. The point that it’s not a complex language is important. The designers placed less of an emphasis on conventional syntax, which makes it easier to work with, even for non-programmers or developers. So I am sure now you have understood why Python is so popular among developers and what makes it special.