Are you considering following your dreams by soaking your hands in Python? I assume you are familiar with the language, but there’s a lot more beyond that. Curious to know? So, let’s dig further and get an idea of the hidden secrets in the rabbit hole!
Whether you are an expert or just testing your toes in these waters, you have chosen the right career. As a fact, Python has become the need of today’s time in cracking codes, and the reason is its enormously comprehensive nature.
In my consideration, Python has entrenched its name in the list of most popular and profound programming languages. Python is considered a general-purpose programming language that implies it can benefit multiple applications, including task automation and the expansion of software, web apps, and games. The language was invented by a Dutch developer named Guido van Rossum in 1991, and in the early 90s and 20s, it was popularized as a scripting language back then.
So, the above segment displays the meaning and history of Python, and your brain must have loaded the cartridge with questions like what’s the need and how it could be beneficial for your career development, right? Don’t panic; as in this blog, I’ll answer all your queries in the context of Python programming language. Let’s begin.
Well, opting for this programming language as a profession not just puts good use to your career but is comparatively easy to grasp for non-technical people. In addition, Python has multiple advantages, such as a beginner-friendly language, broad applicability, a brilliant online community, a great ecosystem of libraries and frameworks, etc.
Now, without further ado, let’s discuss learning Python and Python Basics. You must have heard the saying practice makes a person perfect, whether you are learning Python or any other programming language – it requires a lot of practice to master a completely new programming language. Therefore, you should start with basic concepts of python language integrated with coding challenges, interactive courses, and more. And for a clear understanding, below are a few points explaining python basics briefly.
- The language of Python adopts the use of new lines to complete a command, compared to other programming languages, which often use semicolons or parenthesis.
- Python has confidence in indentation, using whitespace to define scopes, such as the scope of loops, functions, and classes.
- However, other programming languages often occupy curly brackets for this purpose.
The above section describes the python basics commonly used to translate the codes. Now I’ll take you further to concentrate on the “collection python” and how the developers get them for use in their professional arenas.
Well, collections in Python possess various traits based on the declaration and its usage, such as a list declared in square brackets, which is wavering or changeable, stores duplicate values, and list goes on. Moreover, Python is loaded with four collection data types with specialized frameworks named list, tuple, sets, and dictionary.
However, these are Python’s general built-in container data types, and Python introduced the module here as collections.
As I mentioned above, the collections module in Python owns specialized data structures. These frames provide an alternative to Python’s built-in container data types and support cracking Python codes. And to name a few are listed below.
- Chainmap
- Deque
- namedtuple()
- Counter
- OrderedDict
- UserList
- UserDict
- Defaultdict
These collection modules of Python are to be imported as for them; the installation is not required.
So, now the matter in hand which I would like to discuss further is the list maps in Python. Map in Python is a function used to implement a single transformation function to all the iterable elements. In addition, it is classified as a process that works as an iterator to return a result favorable to you.
Map in Python is one of the best tools it owes to support a functional programming language style and is defined as a collection of key-value pairs where each single vital maps to a single value.
Bottom line
In this blog, I propelled some light on Python basics, collection in Python & how it is beneficial to bring in use, and last but not least, list maps in Python. So, these tools in Python are precious in cracking codes and would help you to easily get started with Python Programming.
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