Why choose Python?
Python is a preferred programming language for many coding specialists and global companies. It is easy to learn and offers a variety of capabilities. Moreover, Python has a highly-efficient data structure and uses dynamic typing. If this is something you are looking for, then you should dive into our next quick guide. Here are the basic Python keywords you should be aware of and start your coding career.
Python has lists, tuples, and dictionaries as the main data types. Tuples are one-dimensional arrays. Dictionaries are associative arrays while lists are on-dimensional arrays.
Python strings can use single or double quotation marks. But you can use one type of string within another type of string as well.
In Python, you do not have to declare variables because of enforced types. The variables are case sensitive, therefore, var and VAR are two different variables. Besides that, Python has no mandatory characters to finish statements. These usually end with a colon. You add a comment using the “#” sign, assign values using “=” and test with “==”.
To declare functions in Python, you’ll use def. Functions can return a tuple and by using tuples unpacking you will be able to return several values. Tuples, strings, and all immutable types are unchangeable due to the fact that you cannot pass the item into another location.
Flow control statements
Python has 3 flow control statements: “if”, “for” and “while”. You use “if” to switch and “for” for list members.
There is a limited multiple class inheritance. You can declare private methods by adding 2 or more underscores. Furthermore, you can bind names to class instances.
Python has plenty of libraries and by using pickle structure, for example, you can convert data structures into strings.
Python has much more to offer but to start with you should be able to elaborate the terminology from above. These are the basic Python keywords you should be aware of. Remember that in order to achieve excellence, you should learn systematically and apply theory into practice. You can find multiple sources such as books, tutorials, or educational games. So, keep moving up on your Python journey because you’re doing great.