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HADOOP
Big data is perhaps the biggest thing since the advent of the Internet and is set to change the competitive landscape of the business world.
Salesforce
Webtrackker Technologies has in-house capabilities and expertise in developing salesforce and salesforce.
Website Development
we provide thoughtful idea forms the base of creating a successful web development; we understand this fact fully.
Mobile Apps Development
Our expertise in mobile technology and highly skilled team coupled with in- depth research capability enable us to deliver required strategies for your business.
Mean Stack (Angular js, Node Js, Mongo Db)
We deal in Hospital Management System, Accounting Software, HR Management System Software,
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Noida - 201301, India
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What is Python? Everything you need to know
- Python is user-friendly
Although often used as a high-level programming language, Python is also ideal for beginner programmers as it will teach you the fundamentals of programming. Fairly straightforward and simplistic, Python is also much cleaner and readable in comparison to other coding languages. The number of features in the language itself is modest, requiring relatively little investment of time or effort to produce your first programs. The Python syntax is designed to be readable and straightforward. This simplicity makes Python an ideal teaching language, and it lets newcomers pick it up quickly. As a result, developers spend more time thinking about the problem they’re trying to solve and less time thinking about language complexities or deciphering code left by others.
- Python is broadly adopted and supported
Python is both popular and widely used, as the high rankings in surveys like the Tiobe Index and the large number of GitHub projects using Python attest. Python runs on every major operating system and platform, and most minor ones too. Many major libraries and API-powered services have Python bindings or wrappers, letting Python interface freely with those services or directly use those libraries. Python may not be the fastest language, but what it lacks in speed, it makes up for in versatility.
- Python is scalable
Currently, Python is leading scientific programming, supporting a wide range of academic scholars. However, this was not always the case, as scientists and engineers often relied on MATLAB. Being so valuable within research, many experts agree that Python is the future of AI. Overall, Python is flexible and fast, offering machine learning functionality. If you are interested in doing anything within computer science research or software engineering, learning Python is a must. After all, Python can be used for the most simplistic programs but can also be utilized for much more complex operations
- What Python is used for
The most basic use case for Python is as a scripting and automation language. Python isn’t just a replacement for shell scripts or batch files; it is also used to automate interactions with web browsers or application GUIs or to do system provisioning and configuration in tools such as Ansible and Salt. But scripting and automation represent only the tip of the iceberg with Python.
- Python offers strong support
One of the greatest perks associated with Python is the impressive community of global professionals who are available in terms of support. As Python grows in popularity, so do the number of quality resources. Whether you need to resolve a technical issue or find a specific resolution, Python support is readily available. With unlimited resources, you will be able to stay on-trend while effectively overcoming any obstacles you face. This level of support can help you quickly improve your understanding of code, strengthening the overall development of your project.
- Python is not a “toy” language
Even though scripting and automation cover a large chunk of Python’s use cases (more on that later), Python is also used to build professional-quality software, both as standalone applications and as web services.
- How Python makes progamming simple
Python’s syntax is meant to be readable and clean, with little pretense. A standard “hello world” in Python 3.x is nothing more than:
print(“Hello world!”)
- Python’s libraries
The success of Python rests on a rich ecosystem of first- and third-party software. Python benefits from both a strong standard library and a generous assortment of easily obtained and readily used libraries from third-party developers. Python has been enriched by decades of expansion and contribution. Python’s standard library provides modules for common programming tasks—math, string handling, file and directory access, networking, asynchronous operations, threading, multiprocess management, and so on. But it also includes modules that manage common, high-level programming tasks needed by modern applications: reading and writing structured file formats like JSON and XML, manipulating compressed files, working with internet protocols and data formats (webpages, URLs, email). Most any external code that exposes a C-compatible foreign function interface can be accessed with Python’s ctypes module.
- Python’s compromises
Like C#, Java, and Go, Python has garbage-collected memory management, meaning the programmer doesn’t have to implement code to track and release objects. Normally, garbage collection happens automatically in the background, but if that poses a performance problem, you can trigger it manually or disable it entirely. An important aspect of Python is its dynamism. Everything in the language, including functions and modules themselves, are handled as objects. This comes at the expense of speed (more on that later), but makes it far easier to write high-level code. Developers can perform complex object manipulations with only a few instructions, and even treat parts of an application as abstractions that can be altered if needed.
- Optimizations abound for Python’s slowness
It isn’t always the fate of a slow Python program to be forever slow. Many Python programs are slow because they don’t properly use the functionality in Python or its standard library. Math and statistics operations can be boosted tremendously by using libraries such as NumPy and Pandas, and the PyPy runtime can provide orders-of-magnitude speedups for many Python apps.
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Ease of learning- Completion of basic tasks needs less code in Python, compared to alternative languages.
The codes are typically 3-5 times shorter than Java, and 5-10 times smaller than C++.
Python codes are simply clear and with a bit little bit of information, new developers will learn plenty by simply staring at the code.Highly most well-liked for web development- Python consists of an array of frameworks that are helpful in planning a web site.
Among these frameworks, Django is that the most well-liked one for python development.
thanks to these frameworks, web designing with Python has huge flexibility.
the quantity of internet sites on-line these days are near to one billion, and with the ever-increasing scope for a lot of, it's natural that Pythonprogramming can still be a crucial ability for internet developers.One of the foremost strong and dynamic programming languages getting used today is Python.
