Python programming: How to get started
Python is one of the best-established programming languages in today's Internet age. An ideal addition to the Python programming languages for any analyst or programmer. Python may be your ideal choice for beginners, no matter what your intentions.
This article will discuss the basic concepts of Python. Why Python needs to be learned, its fields, and more related topics that are important to create a clear idea about this programming language.
Introduction
The job of a programming language is to create a program and get it to work. Guido van Rossum created Python in 1991. He named it after the comedy show 'Monati Python'.
Python is currently in its third edition since its creation. The first is no longer used. The use of Python 2 is also decreasing day by day. Python 3 would be a good choice to get started. One of the reasons for the popularity of Python is its simple structure. When you hear the word programming, what comes to your mind is a combination of scribble writing. Python's syntax is simpler than other programming languages which makes Python very popular with newbies. In the beginning, Python was used only for scripting. But due to its simple structure and diversity, it has taken place in the modern era in all major fields. Notable among these are data science, web development, machine learning, etc.
Python in different types of programming
The purpose of a programming language is to solve mathematical problems. Each programming language solves problems in its own form. But when a language can solve a problem in different ways, it takes a different place for everyone, much like a class topper. Python is such a language. Python has a huge community. If you get stuck in a problem, you don't have to get too fast to get a solution.
It is a high-level programming language. This means that different types of operations are built into it. Memory management takes into account how the computer thinks in the lower programming language, which takes more time. As mentioned ASDQWF words are sorted alphabetically. Using a command in a higher programming language will do just that. But in lower language we have to say that A is followed by B then C. Since Python does not have these problems, the programmer can easily reach his goal in less time.
Python supports systematic, object-oriented, and functional programming. These are a little deeper, so I won't discuss too much. You will understand these things when you start programming. Now let’s just give a little idea. Procedural, Object-Oriented, Functional are applicable for these different projects. Since Python is a Multi-Paradigm programming language, it means that Python supports all three. As a result, the application database created by Python is much larger.
Python is an interpreted programming language. This means that if Python code is executed between an interpreter, it converts to machine language line by line. The entire code has to be converted before running other compiled programming languages. Ordinary people will understand by reading Python code, it is so easy to make.
What is Python used for and what would be your area of interest?
The popularity of Python is increasing day by day. Its users and field are constantly growing. Why is it so popular? Let's take a look at its advantages and some features.
1. For general use: Python can be used in a variety of projects as it supports several types of programming paradigms.
2. Easy to learn: Python syntax is comparatively less complex and easy to master. As a result, anyone new or experienced can familiarize themselves with it.
3. Can run on any platform: Python code can run on any operating system. In some cases, it is necessary to make small settings.
4. Advantages of fast coding: Easy debugging is possible in Python. It is convenient to use it to quickly develop an application.
5. Huge Large Library: One of the great features of Python is its huge library. It contains various types of documentation, syntax guides and modules. This makes it possible to create quick, uncomplicated programs.
6. Combinations of Third Party Libraries: The use of Python has become so popular that large programmers have developed their own tools for solving problems. This way you don't have to write the same type of code over and over again. You can save time by using part of their code or module.
Now let's discuss its fields.
1. System Scripting and Automation: Python was originally created for back-end development. As the use of scripts is becoming more and more popular, so is Python. Python scripts save a lot of time than complex language scripts. Today, Python's automation is being used in everything from web searches to content downloads, online forms, and email sent. It is used in ethical hacking.
2. Web and App Development: A popular programming language for web developers. Google, Instagram, Reddit, these sites have been created with the help of Python. Django and Flask are Python web frameworks (based on which software is built). Web development with Python is a simple process. Using Django you can easily create different types of web apps.
3. Scientific computing and data analysis: Astronomers, biologists, neuroscientists all use Python. Python is used even in large organizations like CERN, NASA. This has been made possible by Python's enterprising community. There are also data manipulation tools such as pandas, PsychoPy for Experimental Psychology. Data collected with Python can be easily scaled. Which makes it convenient to work with.
4. Machine Learning and Artificial Intelligence: In today's world without these two things the world would be almost useless. Basically, they are well-connected with financial matters. Netflix's algorithms range from voice, image recognition. There are uses in all cases. Python is in the architecture of the New York Stock Exchange. Like all other libraries, Python has a huge library here. TensorFlow is a superior neural network library. The range of pythons in artificial intelligence will continue to grow.
5. Game Development: Game developers have been building GUI (Graphical User Interface) applications with Python for a long time. Python has many 3D animation packages. It is used in computer gaming, special effects. Games are created using PyGame, PySoy, Pykara Library. Python has also been used in special effects in recent Marvel movies.
This means that you don't have to think about the job once you become proficient in Python. And there is freelancing.
How to learn Python
The best way to learn Python as a newbie is to download Python and manipulate the code. Read the documentation on the official page of Python. You need to know Python Basics before you start with any field. For this, you can go to Python.org, Punitive, learn Python, Sololearn and start tutorial courses. Once the course is complete you need to start practicing. There is no substitute for practice in coding. If you don't practice, you will forget.
Aamir does not require any device for programming. Nowadays a lot of good IDEs have come out for smartphones as well. Such as Hydroid. First download Python from the Python website for coding on the computer. You can use the official Python IDLE to learn the basics which will be available after installation. Also, Sublime Text is a beautiful and free text editor with which you can easily code. You can use Pycharm after learning more. This is the most popular Python IDE (not free).
1. Solve as many problems as possible with data types
2. You have to learn to use more and more functions in the code.
3. The concept of Object Orient must be kept clear.
4. It's up to you to keep the code short or tidy. However, the sorted, tidy code is appreciated by everyone and there is no problem in debugging.
Automate the Boring Stuff is an online Python coursebook. Udemy has many courses on Python but I like The Modern Python3 Bootcamp the most. You can also watch the Zero to hero in Python3 course. To learn, go to HackerRank, Codechef, and continue to solve problems. A little bit of a guide is needed to learn the programming language quickly. So if someone you know is programming, you can clear some concept with his help.
The basics of all programming languages are almost the same. So start learning. It is not bad to increase an extra skill during this quarantine period. In the next episode, each field of Python such as machine learning, data science will be discussed separately.
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We hope you find this post useful. Did you know this information before? There was an invitation to comment!
Hasibul
I love blogging. If everyone is with me, I can take this blog further. For this I ask all of you for help and prayers.
