Python fundamentals

Overview of Python:

Introduction to Python:

Python was created by Guido van Rossum in the late 1980s and early 1990s at the National Research Institute for Mathematics and Computer Science in the Netherlands.

Python is a high-level language, interpreter, interactive scripting language and object-oriented. Python is designed to make it easier for programmers to read and understand. Python rewards using English keywords while other languages ​​often use punctuation. Its syntax structure is also easier than that of other languages. Python is easy to learn because related documents can be found anywhere.

Application of Python.

Python to write scripting language (scripting language).

If you are planning to write a miniature program or an ad-hoc program to automate what you do on your computer, consider using Python! People often use it for this purpose.

The ability to exploit the diverse library resources of this language will allow you to do many interesting things.

Many people have used Python to write a script that you can put into any video and the program will produce a series of transcripts (transcripts) that have been randomly translated. These versions are also not perfect due to the usage of words and intonation of our Asians, but at least it is free.

Web applications.

Did you know that some hit units have been built with the Python programming language?

Here is a quick list of these companies:

• Dropbox.
• Netflix.
• Spotify.
• Instagram.
• 21% of Facebook's data infrastructure
• Youtube.

In the field of web application development, when it comes to the Python language, we can mention frameworks like Django and Flask. If you have a certain understanding of programming and frameworks for the web, you can build many types of Python applications.

Department of data science

Python is the application that plays the role of the most popular programming language in data science, and it is slowly consuming the market share of other languages.

There are many Python libraries that you can use for large datasets. Some noteworthy libraries are NumPy (for things about math), SciPy (high-tech computer library), Pandas (for data analysis) and Matplotlib (for data modeling - data visualization)

Machine Learning and Artificial Intelligence (AI).

Many Python libraries can and are being used for Machine Learning, Deep Learning and AI. These include: Tensorflow, Theano and PyTorce. The more developers working in this area, the greater the number of resources and libraries.

IoT field - Internet of Things.

You do not need to pay too much money or buy from any store to apply Python to the Internet of Things. Today, people only need to invest in a Raspberry Pi computer to start their own DIY IoT projects.

Programming game.

Although Python is not as strong as Unity in game programming, it allows you to build up a few interesting things.

Thanks to Python applied in many industries, Python is used by many companies and schools to teach programming for children and first-time programmers. Besides the great features and capabilities, its simple and easy to use syntax is the main reason for this.

 

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The learning objectives of this course are:

• To determine the structure and components of the Python program.
• Understand why Python is a useful language for programmers
• Understand how to design and program Python applications.
• Understand list usage in Python programs.
• Understand how to use indexing and slicing to access data in Python programs.
• Understand how to write loops and decision statements in Python.
• Understand how to write functions and pass arguments in Python.
• Understand how to build and package Python modules for reuse.