Python For Beginners
Welcome! Are you completely new to programming? Fortunately an experienced programmer in any programming language (whatever it may be) can pick up Python very quickly. It’s also easy for beginners to use and learn, so jump in!
Installing Python is generally easy, and nowadays many Linux and UNIX distributions include a recent Python. Even some Windows computers (notably those from HP) now come with Python already installed. If you do need to install Python and aren’t confident about the task you can find a few notes on the Beginners Guide/Download wiki page, but installation is unremarkable on most platforms.
There is a list of tutorials suitable for experienced programmers on the Beginners Guide/Tutorials page. There is also a list of resources in other languages which might be useful if English is not your first language.
The online documentation is your first port of call for definitive information. You can follow this by looking at the library reference for a full description of Python’s many libraries and the language reference for a complete (though somewhat dry) explanation of Python’s syntax. If you are looking for common Python recipes and patterns, you can browse the Active-state Python Cookbook.
Why do we need to learn Python?
According to the current market, Python is the most usable language for everyone, whether they are a developer of any organization or student. You know why Python is a high-level language with a very easy syntax. Python syntax is like simple text statements, whereas other languages use punctuation. Python uses a new line to complete a command or end one line/command, unlike other programming languages that often use semicolons or parentheses.
What are the Applications of Python?
The applications of Python are variant. Nowadays, Python is the most used programming language. Some applications are mentioned below:
- It can be use for servers to create web applications.
- we can use Python as a programming language in Machine learning, many Data Science, and Data visualization activity.
- we can use Python to manage Big Data data and perform complex mathematics.
- Used for software development.
- we can use Python to develop Desktop GUI.
- we can also use Python for CAD applications.
Apart from all this, we can use Python for making business applications, Gaming, and Web Scraping Applications.
What are the Characteristics of Python?
There are multiple characteristics of Python. Some are listed below:
- Python supports structured programming methods, also the OOP concept.
- Python can be used as a scripting language.
- It provides very high-level dynamic data types and supports dynamic sample checking.
- Python supports automatic garbage collection function.
- It can be integrated with C, C++, COM, ActiveX, CORBA, also Java.
Some of the major changes included for Python 3.0 were:
- It is changing print so that it is a built-in function, not a statement. That made it easier to change a module to use a different print function and make the syntax more natural. In Python 2.6 or 2.7, print () is a basin available but masked by the print statement syntax, which can be disabled by entering from the __future__ import print_function at the top of the file.
- Removal of the Python 2 input function and the renaming of the raw_input function to input. Python 3’s input function behaves like Python 2’s raw_input function, in the input is always returned as a string rather than being evaluated as an expression.
- Moving to reduce (but not map or filter) out of the built-in namespace and into function tools (the rationale being code that uses reduce is less readable than code that uses a for loop and accumulator variable)
- Adding support for optional function annotations that can be used for informal type declarations or other purposes.