Why you should learn Python 2020-2025 _YouNux404

Why you should learn Python ?

1. Your first programming steps.
2. Raspberry Pi and Python.
3. For artificial intelligence and machine learning.
4. My favorite web development.
5. Especially ideal for startups.
6. Big companies prefer Python.
7. Unlimited resources and test framework.
8. So it can be said that Python is the complete solution for developers and its importance and usefulness will increase further in the coming times.
9. Web development becomes a breeze with Python. This is why every ambitious developer must learn to program in Python.
10. Python also provides a built-in test framework that covers points like embedding debug time and the fastest workflows.
11. It is easy to learn and will provide you with building blocks that you need to diversify and learn other languages ​​as well.
12. Using hardware and tools that incorporate Raspberry Pi will make you realize how Python programming can be fun in DIY projects.

What is Python?

Python is an interpreted programming language, object-oriented, and dynamic of writing. The Python interpreter reads one line of code at a time, translates it into a low-level language (byte code), and then runs it. As a result, runtime errors are usually encountered. In fact, Python is one of the most popular programming languages due to its ease of programming and understanding. It is also open source.

Python applications and uses:

Web development

It is very popular in recent times as frameworks that use the Python language for web development such as Django and Flask.

 These software packages help to develop the backend of web servers based on Python. Django and Flask are the most popular and best for beginners.

But what is the difference between Django and Flask?

The main differences:

1. Flask provides simplicity, flexibility, and precise control. It also gives you wide freedom to decide how the various parts and software components are done.
2. Django provides a comprehensive experience, as it provides you with a control panel and database interfaces and what is called an ORM object-relational mapping as well as a structural guide for your applications and projects.

Accordingly:

• Choose Flask if you only want to try and learn or if you are looking for good control over the elements you use (such as the databases you want to use)
• Choose Django if your only focus is on the final product, especially if you are running against a server background for a news site, online store, or blog, and you want there to always be a single, clear way for the functioning and workings of the elements handled by the server.

In conclusion, if you are a beginner then Flask is your best choice because it doesn't have many ingredients that make it difficult to handle. It is also the best option if you want a very custom application.

On the other hand, if you are looking to develop an app that works in a clear and simple way, Django allows you to access it faster.

Data science (machine learning, big data analysis, and presentation)

First of all, let's define machine learning.

Machine learning is based on algorithms that automatically detect a specific pattern in the data being entered.

Let us give an example. Suppose we want the machine learning program to determine whether the image given to it contains a dog or a table. In this case, we first give the machine learning program 1,000 pictures that contain a dog and another 1000 pictures that contain a table. Then the program will learn the difference between the dog and the table. If I give him a new picture, he will be able to recognize its content.

This process is very similar to the way the child learns new things.

It is very likely that we will not explicitly tell the child that if something furry has light brown hair, it is likely that it is a dog.

We might just say: “This is a dog. This is also a dog. This is a table. This is also a table. “

In fact, machine learning algorithms work the same way. This applies to YouTube, Amazon, and Netflix 'recommendation system, as well as to facial or voice recognition software.

Using Python in machine learning programs

There are many libraries and software packages for machine learning in Python. Scikit-learn and TensorFlow are the best and most popular of these libraries. Tweet now
Scikit-learn includes the most common machine learning algorithms.
TensorFlow is a low-level library that allows creating custom machine learning algorithms.
If you are still a beginner in machine learning, we advise you to rely on sci-kit-learn. If you can manage it and become efficient enough then you can work on TensorFlow.

Analyze and display data using Python

Matplotlib is the most popular library for analyzing and displaying data in Python. It is the best option for beginners for the following reasons: Tweet now
Ease of learning and handling. Many other libraries rely on Matplotlib like the seaborn library. This will make it easier for you to learn these libraries later.

Scripting

Scripting is writing small programs designed to automate simple tasks. In fact, Python is the proper language for such simple tasks because building its own syntax codes is simple and very easy. Python is also suitable for developing small programs and testing them quickly.

Are you using Python to develop games?

You can use the Python library called PyGame to develop games, but it's not the best or most popular game engine. Because this engine is used only to develop some projects as a hobby, but if you are developing games seriously, it is never recommended to use Python.

In fact, when it comes to developing games, Unity is the best and most suitable option. It allows you to create games compatible with many platforms including Mac, Windows, iOS, and Android.

Are you using Python to develop desktop applications?

Python allows the development of desktop applications using Tkinter. But it is not the right or best option.

When it comes to desktop applications, it's best to use traditional programming languages: Java, C ++, and #C. However, recently, some companies have started using JavaScript to build desktop applications.

learn more about Python on Wikipedia

Python Website  

PyCharm is an integrated development environment used in computer programming, specifically for the Python language. It is developed by the Czech company JetBrains. Wikipedia