The important parameters in learning a programming language are:
After we published the article What is Python on the site, now we have gone to examine the duration of learning Python, and we want to examine the duration of learning this programming language. So I suggest you follow this article to the end.
In some cases, you may need to install the python interpreter on a portable memory, such as a flash drive, instead of on your computer, so that you can use it anywhere on any system.
For example, If python is not installed on the computers of the faculty site and you can not install it on the system, by installing the portable version of Python on flash memory, you will be able to have it with the computers of the site to run your Python program.
In the world of data mining and machine learning, there are many tools, each of which has its own users. Meanwhile, some of these softwares are more popular. In this article, we try to introduce 6 free software in the field of data mining, by which you can implement various algorithms and methods of machine learning, deep learning, text mining, image mining, etc. on your data. These softwares have the ability to implement various parts and different methods in data mining. For example, the ability to pre-process data, sort, and clean data, transfer data to different parts, implement classification algorithms, clustering, dependency rules, evaluate models, and visualize data are some features that these applications have implemented.
Programming language Python, this feature it has is the commands coding in it to look perfectly crisp and clean they are posted. So, which is very close to the language of the speech is read, which, for example, the following code of the data type (data type) list of use in mind.
As you can see first we have created a variable of the list type entitled numbers and saved the desired values in it:
Python as a programming language has many packages. However, many libraries are available for this interpreter programming language, high level and general purpose.
Among the elements of Python’s popularity, having an important set of libraries is a significant element. The more a programming language has a greater number of libraries and packages at its disposal, the more versatile the use will be.
In this article, we introduce ten of the top Python libraries. Remember that this list is based on the 2020 Python developer Statistics findings.
C # and Python are both popular programming languages in 2019. Both are based on OOP concepts, and learning and coding with them is simple, functioning well, and their developed versions are quickly presented. Before we begin the comparison, it is better to look at each of these two languages in order to better understand their differences.
Python 3.8 is the latest version of Python that has been released in beta and comes with various features. These features include syntax changes, memory sharing, optimization of serialization and deserialization operations, modified dictionaries, and more.
Naturally, users expected Python 3.8 to come with an optimized performance structure, which I must say can be seen in the end result. Python 3.8 is relatively faster and more compatible than its predecessors.
A compiler is a computer program that converts code written in one language into another. Python is one of the best programming languages to learn, so its compilers have no limit to the various needs of the project.
First of all, compilers are programs that convert reference code written in a high-level programming language into a low-level programming language; Like machine code to build an executable program.
Organizations that want to survive in today’s global marketplace need to make digital changes to their operations. Smart organizations are now investing heavily in software to optimize financial options, improve employee performance, and manage their resources.
Since the second half of the last century, the number and variety of programming languages has increased day by day, but the competition between them has caused some to receive more attention and others to become obsolete. Thanks to these languages, the role of technology in our lives has become more prominent than ever, resulting in the production of huge amounts of data, which is a treasure trove for large companies.
Using this data, they understand the needs of customers and design new products or services. The need to collect, extract, and analyze this data has given rise to new businesses, one of which is data science, on which more companies are investing.