After getting convinced with the beauty of the Python programming language, in this tutorial we are going to see what can be developed with Python. Short descriptive you should know about python history.
What is python used for will be cleared in this article? But the question is, "Is Python hard to learn for beginners?" Research shows that there are more than 200 programming languages are there in this world, and the number is still increasing. So this question would tickle your intellectual hunger, Is Python hard or easy to learn for beginners? To understand this we will see where exactly python is being used.
Currently, data analysis is a very hot topic in the IT industry. You can develop web crawlers to get data from pure HTML. You can also use some libraries like "BeautifulSoup"
Make yourself known on Internet by building a website using some python web frameworks, like Django, Flask, Web2Py, Pylons, Zope2, Giotto, CubicWeb, etc.
Using Python's inbuilt data structures, sequencers, containers, and collections you can implement any data structure or algorithm in the most efficient way with very few lines of code and can release it to PyPi to make it available to all the Python programmers around the globe.
You can build your own plugins and release them to the world to benefit all users. Many of the SublimeText plugins are built-in Python.
You can create some wrappers for API like Python OAuth library, Facebook Graph API, Locu API. etc and can release it to PyPi to benefit all Python users.
Python can be used to do data analysis. You can effectively solve a broad set of data analysis problems using libraries like Pandas, the most popular open-source Python library for data analysis.
Using Python you can implement network protocols like SMTP, FTP, HTTP, etc. You can also build your own HTTP Web Server or load balancer.
You can use Python to implement cryptographic algorithms and to encrypt/decrypt your data with the help of cryptographic techniques like RSA, RC4, DES., etc.
Many libraries have been developed for making the life of researchers and scientists easy. With the help of Python libraries like NumPy, SciPy, Matplotlib researchers can focus on their research rather than getting stuck at some scientific/mathematical calculations. Array Programming has been possible in Python after the release of NumPy. Data visualisation has never been that easy before the release of Matpltolib.
You can build your own Game bot manually in Python. Isn't it exciting? Making games on your own and entertaining all the users all over the world.
You can implement many AI algorithms to build your own game, something like you can implement Alpha-Beta Pruning Search for Tic-Tac-Toe.
If you have some knowledge of machine learning and artificial neural network, you can implement some algorithms to build yours on Python machine learning library.
Yes, Python does it all, and many more to add. Do you know you can also create Mobile Apps using Python?
As you can see Python is a complete programming language, in our next tutorial we will give you a little more motivation to learn Python by telling you which companies use Python and will leave you surprised with their well-known products developed in Python.
After seeing what can we do with Python, lets see a few IT giants who appreciate the beauty of Python and develop extremely useful and user-friendly products/services.
Google makes extensive use of Python in its web search systems.
The popular YouTube video sharing service is largely written in Python.
The bit-Torrent peer-to-peer file-sharing system began its life as Python Program.
Netflix and Yelp have both documented the role of Python in their software infrastructures.
Dropbox storage service codes both its server and desktop client-server software primarily in Python.
The Raspberry Pi single-board computer promotes Python as its educational language.
NASA, Los Alamos, Fermilab, JPL, and other use Python for scientific programming tasks.
NASA also uses Python for cryptography and intelligence analysis.
The core philosophy of the language is summarised by the document The Zen of Python (PEP 20), which includes aphorisms such as:
Following are the top 7 key features of Python that make it an easy-to-learn language for newbies and the most favourite programming language in the stack of expert programmers.
Python is probably the best and easiest language to learn if you are a beginner. While writing code in Python you don't have to worry about declaring the variable first before using it, you don't have to worry about the difference between character, string, and an array of characters, you don't have to compile your code every time you wanna see the output and a lot more. As our tutorial progresses you will appreciate the beauty of Python.
Python is an Open Source Language means one can freely redistribute copies of this software, modify its source code, etc.
Python is a High-Level Language that means you write Python code using English-like statements. So programmer doesnt have to worry about how to write the code. They can instead focus on actual logic. Writing programs in python take less time than in another programming language.
Unlike C or C++ or Java, Python is an interpreted language. Interpret language means you don't have to compile and rerun your code each time you want to see the output. A program called Interpreter reads the Python code line by line and spits the current state of the variable on the screen/file if asked to do so. So you just need to fire up the interpreter and you can actually interact with the interpreter by seeing the output. This means if a programmer needs to change the code, he can immediately see the output. However, this makes python a little bit slow as compared to C because it is not running the machine code directly.
Python is a Multi-Paradigm Programming Language. Functional Programming and Object-Oriented Programming paradigm are fully supported and many other features are also supported by python.
Python is a platform-independent language that means you can work with Python on Windows, Linux, and Macintosh as well. It is also supported by other platforms like FreeBSD, Solaris, OS/2, Amiga, Playstation, Windows CE, etc.
Python can integrate with many other programming languages and can be easily embedded in existing applications that need a programming interface. It can easily invoke C and C++ libraries gets easily integrated with Java, .net components, etc.
Following are the different implementations of Python:
After knowing all such features of Python you must be convinced why Python is a programming language in every programmer's stack.
With this, enough motivation to learn Python let's set up your computer to do some actual Python Programming in our next tutorial.
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