What is NumPy ??

What is NumPy ??

NumPy, short for Numerical Python, is the foundational package for scientific computing in Python. The majority of this book will be based on NumPy and libraries built on top of NumPy. It provides, among other things:

• A fast and efficient multidimensional array object ndarray

• Functions for performing element-wise computations with arrays or mathematical operations between arrays

• Tools for reading and writing array-based data sets to disk

• Linear algebra operations, Fourier transform, and random number generation

• Tools for integrating connecting C, C++, and Fortran code to Python

Beyond the fast array-processing capabilities that NumPy adds to Python, one of its primary purposes with regards to data analysis is as the primary container for data to be passed between algorithms. For numerical data, NumPy arrays are a much more efficient way of storing and manipulating data than the other built-in Python data structures. Also, libraries written in a lower-level language, such as C or Fortran, can operate on the data stored in a NumPy array without copying any data.

Comments

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 the process of Data Analysis?

Data analysis is the process of collecting, cleansing, interpreting, transforming and modeling data to gather insights and generate reports to gain business profits. Refer to the image below to know the various steps involved in the process. Fig 1: Process of Data Analysis – Data Analyst Interview Questions Collect Data: The data gets collected from various sources and is stored so that it can be cleaned and prepared. In this step, all the missing values and outliers are removed. Analyse Data: Once the data is ready, the next step is to analyze the data. A model is run repeatedly for improvements. Then, the model is validated to check whether it meets the business requirements. Create Reports: Finally, the model is implemented, and then reports thus generated are passed onto the stakeholders.

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...

ArrayLinks

Search This Blog