Disclaimer:: there are bonus tips and free useful resources at the end of the article
Python is an object-oriented & open-source language, Python was developed by Dutchman Guido van Rossum in 1980s as a side project. Tech Giants like Cisco, IBM, Mozilla, Google, Quora, Hewlett-Packard, Dropbox, Facebook, and Microsoft are using this language because of its simplicity and elegance. Most developers prefer Python over many other programming languages out there because of its emphasis on readability and efficiency and Simple syntax structure.
There are several reasons why you should consider learning python. Python has very rich community support and plenty of Free resources out there on the internet. You don't have to pay a single penny to learn Python. So before I tell you about resources and path to learning Python let's explore why you should learn Python.
Major features and applications of Python that has influenced more and more people to learn Python as programming Language
1. Easy to Learn:
If you know how to write simple sentences in English grammar, Congratulations you can learn python within two or three weeks. Python is easy because it resembles the English language. There are very few rules and special cases. It’s safe to say that in Python the focus is on what you want to do with the code, not on language intricacies (oh god those irritating semicolons;). Anybody can master Python easily even a kindergarten kid (well that's an exaggeration) . With practice, newbies can build some basic games and some minimal functioning web apps in a few days using python. Also, Python is so sexy because it's easy to read and understand.
2. Data Science:
"Data Scientist" is the hottest profession according to job-listing data. According to the Harvard Business Review, the role of data scientist was described in 2012 as, "The sexiest job of the 21st Century" isn't that awesome.
Python is the most used programming language by most data scientists. Although there R some other languages, but Python is still dominating the field. It's because of a huge community and the huge number of supporting libraries like
- Numpy For numerical computation and matrix handling
- Pandas for data analysis and tabular data representation
- Matplotlib and Seaborn For data visualization
- And many more.......
Data Science Jobs being posted often requires Python more than any other language. This indicates the fact that the skills you gain with Python will be used to develop your analytical skillset.
3. Cross-Platform and Open Source:
It’s been more than 20 years since this language has been running cross-platform and it's open-source that means it's completely free to use. Be it Linux, Windows or MacOS, Python code will work on every platform. Another remarkable thing about Python is that it’s supported by decades of bug-squashing and kink-straightening by thousands of developers, which ensures that its code will work as intended whenever the user runs it.
4. Simplify Complex Software Development:
Python is a general-purpose programming language so it can be used to develop both desktop and web applications. Also, you can use Python for developing complex scientific and numeric applications and many libraries are already provided for this purpose. You can take advantage of the data analysis features of Python to create custom big data solutions without putting extra time and effort, because of Python facilitate data analysis and visualization. Data visualization libraries and APIs provided by Python will help you to visualize and present data in a more appealing and effective way to your users.
5. Vast Collection of Libraries:
Python is supported by PyPI which has 85,000+ python scripts and modules accessible to the user it covers almost everything you can think of. These modules provide pre-packaged functionality available to the users in their local Python environment by using just a single line of code.
pip install something # "Something" can be name of library you want
Libraries provide here can be used to solve various problems like Computer vision, Machine Learning, Complex Data Analysis, Data Science tasks, Natural language processing and many more
The salary of Python engineers is comparatively higher as compared to others in the industry particularly in Data Science, Machine learning, and web development. In the US, a Python developer earns a salary ranging from 70,000 USD to 150,000 per year.
7. Scripting and Automation:
You can write a simple or complex script for pretty much any task ou there, Starting form Downloading images and scraping data from any website to Automating your Instagram for doing likes and comments on your behalf. The code is written in script form and gets executed in runtime. You can use the same Python Script as many times as you want. You can automate specific tasks in a problem by automation.
8. Artificial Intelligence:
Without any dispute, Artificial intelligence is Future Python’s libraries such as Keras,TensorFlow, and Pytorch enable machine learning functionality. Also, libraries like OpenCV aids in computer vision or image recognition tasks.
9. Computer Graphics:
Python can be employed in small, large, online or offline projects that use computer graphics as one of its components. It is used to develop GUI and desktop applications, like VS code. It’s ‘Tkinter’ library enables simple and rapid application development, You can make tic-tac-toe in barely 10 lines of code. This programming language is also used in game development where the logic is written using a module ‘pygame’ which can also run on android devices, I made a snake game just after 15 days of learning python.
10. Web Development:
Python’s different frameworks support web development. Python has numbers of frameworks for developing websites, like Django and Flask, which makes web development really easy.; this is because they are written in Python.
Some of the popular websites on the Internet, like Reddit, are built using Python and it's Web Dev framework.