Skip to main content

What is Python ? | comingfly

What is Python ?

Developed by the Python Foundation in the early 1990s, Python is a high-level programming language that has many different uses, including data science and back-end web development. As a powerful data analysis tool, it is widely used in big data technology, and a strong community of machine learning developers have helped elevate its status in the burgeoning field of artificial intelligence.

Due to this vibrant community, there are already many pre-built libraries for machine learning in Python. And Python is platform agnostic, meaning that it is adaptable to virtually any operating system. It is also open source, which makes it very accessible to the general public.

Python is a dynamically typed language, which can create problems in machine learning environments. For one, errors can become difficult to track as the program grows larger and more complex. This can create costly drawbacks and also slow down performance.

Also developed in the early 1990s, R is part of the GNU project. It is widely used in data analysis, and is typically applied to common machine learning tasks like regression, classification and decision tree formation. It is a very popular programming language among statisticians.

R is also open source and is widely renowned for being relatively easy to install, configure and use. It is platform agnostic and integrates well with other programming languages. Along with data analysis, R has particularly strong data visualization capability.

Despite being relatively easy to integrate with other tools, R has some unique quirks that can make it somewhat confusing to learn, like its unconventional data structures and indexing(which starts at 1 instead of 0). It also is less popular than Python and thus does not have as much documentation available for machine learning applications. (For more on these two languages, see The Debate Between R and Python.)

Comments

Popular posts from this blog

Difference between loc() and iloc() in Pandas DataFrame

  Difference between loc() and iloc() in Pandas DataFrame Pandas library of python is very useful for the manipulation of mathematical data and is widely used in the field of machine learning. It comprises many methods for its proper functioning.  loc()  and  iloc()  are one of those methods. These are used in slicing data from the Pandas DataFrame. They help in the convenient selection of data from the DataFrame. They are used in filtering the data according to some conditions. The working of both of these methods is explained in the sample dataset of cars. loc()  :  loc()  is label-based data selecting method which means that we have to pass the name of the row or column which we want to select. This method includes the last element of the range passed in it, unlike  iloc() .  loc()   can accept the boolean data unlike  iloc()  .  iloc() :  iloc( )  is an indexed-based selecting method which means that we ...

Best digital marketing in Perth

Best digital marketing in Perth Introduction Your introduction into the brave new world of the digital space will be custom-tailored to your business needs requirements. You will be introduced to the crew who will be handling your project, from inception to the launch into the market. Assess It will be our job to not only know your customers but how they engage with the core products and  brand relationships . From here we break down what we research, to identify the core elements needed to engage the customer. Create It’s imperative that the design of your vessel is done right from the start. Its shape, level of focus, and attention to detail are crucial for a prosperous, lucrative, and extended journey. We will always present concepts and suggestions as per the requirement, but we truly believe this process should be a collaborative one between the creative crew of the PWD and the client. The final form will dictate its progression into the  development  and manufacturi...

Introduction to Transfer Learning

  Introduction to Transfer Learning We, humans, are very perfect in applying the transfer of knowledge between tasks. This means that whenever we encounter a new problem or a task, we recognize it and apply our relevant knowledge from our previous learning experiences. This makes our work easy and fast to finish. For instance, if you know how to ride a bicycle and if you are asked to ride a motorbike which you have never done before. In such a case, our experience with a bicycle will come into play and handle tasks like balancing the bike, steering, etc. This will make things easier compared to a complete beginner. Such leanings are very useful in real life as it makes us more perfect and allows us to earn more experience. Following the same approach, a term was introduced  Transfer Learning  in the field of machine learning. This approach involves the use of knowledge that was learned in some task, and apply it to solve the problem in the related target task. While most ...

What is Copywriting? A Comprehensive Guide

  What is Copywriting? A Comprehensive Guide Introduction to Copywriting Copywriting is the art and science of crafting persuasive and compelling messages to promote a product, service, or idea. It's a vital component of marketing and advertising that can significantly impact a company's success. Whether through website content, social media posts, emails, advertisements, or any other medium, effective copywriting can capture attention, build trust, and drive action. The Importance of Copywriting In today's digital age, where consumers are bombarded with information from all directions, having clear and engaging copy is more critical than ever. Good copywriting can differentiate a brand, communicate its value proposition, and create a lasting impression on the audience. It’s not just about selling a product but also about building relationships and fostering loyalty. Historical Context Copywriting has evolved significantly since its inception. In the early days of print med...

What is ChatGPT AI?

  ChatGPT AI ChatGPT is a language model developed by OpenAI. It is a conversational AI model that can answer questions and generate text based on the input it receives. It was trained on a massive amount of text data and can generate human-like responses to various questions. ChatGPT is commonly used in customer service, virtual assistants, and chatbots. Benefits of ChatGPT AI Natural language processing: ChatGPT utilizes advanced NLP algorithms to understand human language, making conversations more human-like and natural. Easy access to information: ChatGPT can provide answers to a wide range of questions, making it an ideal tool for customers who are looking for quick answers. Improved customer experience: With ChatGPT, customers can get answers to their questions instantly, reducing the waiting time and improving their overall experience. 24/7 availability: ChatGPT is available 24/7, which means that customers can get answers to their questions at any time of the day, even out...