WHAT IS PYTHON PRIMARILY USED FOR?

What is Python?

In the past year, Python has stood out among other programming languages and has become the first data scientist's preference. Python is a high-level coding language of general-purpose type. It is an object-oriented language. Python is used as a gap filler in scripts. It has a straightforward syntax, which makes it easier to learn for beginners. Programmers love Python as it increases the productivity of their work.

Now you may be thinking about how you can learn Python.

Learning Python is not rocket science, but it is even not an exact science. You can learn Python by enrolling in some right course. Today several options are available to learn Python. You can learn Python by both online and offline modes depending on your priorities. Just make sure before enrolling in a course that certification is also essential.

Why is it called Python?

The author of Python 'Guido van Rossum' was when reading a script by "Monty Python's Flying Circus," this a comedy series. Then he came up with the idea of calling his programming language Python. He liked the word python so much as, according to him, the word python was short, unique, and mysterious. People think that Python is a complicated acronym, but there is nothing like that; the word python came from the name of "Monty Python."

Python Usage:

All the major industries, such as finance, aerospace, healthcare, and even the entertainment industry, use Python these days.

Now we will be discussing the five industries that use Python widely-

• Web development industries-as python is a straightforward programming language, so it has become web developers' first choice. Python is different from other coding languages because of its simple and readable codes. You can easily use English keywords in place of punctuations while working with Python. This feature of Python saves you from wasting your time and even saves your effort. Python has numerous prebuild libraries, which help beginners in clearing their queries a lot. It has web frameworks, too, including pyramid, Django. These help you shorten the time you spend on developing apps.

• Data science-python plays a very crucial role in data science. Data scientists prefer Python over other programming languages because it is easy to use and easily accessible. Python is used in scientific research too. Data scientists need to maintain big data. The rise in the need to store big data will require more data scientists, and as a result, python jobs will be created in the coming years, so you can blindly choose Python these days. Choosing Python in the present scenario is like choosing and acquiring a power language. Its role in parsing data is the most significant present advantage of Python. Python has science-friendly libraries, and these libraries include information related to Astronomy, Biology, Neuroscience, Psyche, Graphic tools, etc.
  
  

• Machine learning-machine learning involves things like financial services, speech recognition, etc.; you always wonder that whenever you open Netflix, how are recommendations served? Machine learning is the answer to this. Such portals assign a team that tags the videos for your recommendations. Some frameworks and machine learning libraries are trendy, for example, scikit- learn and Tensor Flow. Using Python for performing machine learning is like adding an item that is warranted. Python is essential for machine learning because of consistency and simplicity; it provides you with flexibility and independence and a giant community base. Anaconda and Miniconda are the two commonly used distributors for Python. Its simple syntax makes it even more compatible with machine learning as it makes it a faster application.
  
  

• Startups-this may seem a little bit weird on the list. In every startup, Python can be used to achieve tremendous growth. Mainly tech startups use Python a lot. Startups love Python because it is effortless to use in comparison with other programming languages. Every startup uses digital marketing for marketing its goods and services. This digitization has led to an increase in the demand for Python in startups.
  
  

• Financial industries-python is used widely in the financial industry. Python is considered to be the fastest-growing language in the financial sector. If you wish to pursue your career as a web developer in the financial sector, learning Python can be of great use. All big banks and finance firms have worked hard in transforming their tech stack to Python.

Companies that are using Python:

• Netflix
• Quora
• Instagram
• Facebook
• Reddit
• Google
• Spotify
• Google
• Dropbox
• Anyone else
  
  

Benefits of Python:

• A huge community-python offers you huge community support. Python users are very active, which makes it possible for you to share your queries, doubts, and ideas.
  
  
• Open source-python has open-source libraries, and you can download and access many features of Python for free. This makes the use of Python quite economical. This is why beginners love Python the most, as in startups, you do not have much money to invest, so you can quickly go for Python and expand your business.
  
  
• Best for prototypes-python is the best language for beginners due to its easy and straightforward format. Its simple format makes it easier for beginners to access Python.
  
  
• Readable codes-the codes in Python are easily readable because you can use English words instead of punctuations while programming.
  
  
• Extensibility-python is an extensible programming language; you can extend your content in other programming languages while using Python.
  
  
• Compatibility-python is compatible with almost all machines, whether it be Mac, Linux, Windows. It would help if you learned different languages for different programs, but with Python, you can do visualization, build web apps, web scrapping, and perform data analysis.
  
  
• Python supports object oriented-both procedural and object-oriented functional paradigms.
  
  
• Portability-you can run your code almost everywhere. No additional coding and changes are required to port your codes in Python. In languages like C++, you need to make a few changes if you wish to run your program on any other platform.
  
  
• Productivity-python is considered to be more productive than other programming languages such as JAVA and C++.
  
  
• IOT opportunities-python has formed numerous new essential platforms; this opens the way for the language in connecting with the real world.

Types of Python Language (Basic Data Types)

• Integers-in Python three, you do not need to restrict an integer's value; the value can go as long as your memory supports it. Only memory constrains the value of an integer, except memory, nothing constrains it.
  
  
• Floating-point numbers-CPython on of the float type denotes a floating-point number. A decimal point specifies the float value.
  
  
• Complex numbers-complex numbers are denoted by <real part>+<imaginary part>j.
  
  
• Strings-the sequence of data characters is known as strings. It is denoted by str. Part of a string lies between the opening delimiter and the matching closing delimiter. This string can contain as many numbers as possible of characters you want. You can even leave a string empty. Only your machine's memory can constrain the number of strings nothing else.

Wrapping Up

So now you have learned so much aboPythonhon, let's get a realistic approach to it. The world Pythonhon is growing at a very rapid rate. So, going fPythonhon today can be of great use in your future. All the major industries are usiPythonhon to program and code, so in the coming years, it might become mandatory to have good knowledge of Pythonhon while applying for jobs related to the technical field. The need to store big data is increasing, so the Data science field will open thousands or maybe even millions of new job opportunities for you. So, start being futuristic and enroll yourself in something that helps shortly. Whether it be data science, machine learning, artificial intelligence, or the financial sector, everything today is running arouPythonhon. People having good python skills are paid quite a decent amount these days, and this amount is expected to be almost double in a few years as the need for python programmers is increasing rapidly.

To learn Python, you can choose both online and offline methods but always keep one thing in mind that everything available on the internet is not correct. You should research properly before getting into anything and never rely on videos to leaPythonhon. Your approach to learning Python should be realistic. This is quite easy to learn a programming language but still, you need to be focused on learning it. Coding on a regular basis is mandatory if you wish to leaPythonhon. You can even take help and advice from the Python's community if you are planning to leaPythonhon.

For learning python, you should enroll yourself in some good courses, and certification is also essential. So only go for courses that, after completion, provide you with the certification.

SASVBA Institute is a prime institute in Delhi. Our institute offers you more than 20 courses on various topics such as Pythonhon, machine learning, data science, artificial intelligence, and so on. We offer you 100% job assistance after your course completion.

Why choose SASVBA?

We have a safe and supportive environment with a world class faculty. Our faculty includes professionals from different fields and with different expertise. We have up to date systems at our institute. Our institute is considered to be python training in delhi. We are currently offering both online and offline classes, keeping in mind the current COVID scenario. SASVBA is different from other training institutes as it provides you the choice to customize your course program and contents. Our courses are customized depending upon your needs and requirements. Our institute provides its students with 100% placement assistance; we are also having many training and internship programs for our students. We are having a team of professionals who help you prepare for your interviews after your course completion. For this purpose, we conduct mock tests and interviews with our students to brush up on their skills and knowledge. Our faculty is always available for our students even after course completion. To enroll in our courses, you can visit our website or raise a query by emailing or calling us. We would love to hear from you.