Python Articles - Page 689 of 1048

The Sklearn python library does provide sample data sets which can be used tocreate various graph plots. The usefulness of these datasets is in creating sample graphs and charts and predicting the behavior of the graph as the values changes. Also you can work on other parameters like deciding on the colours and axes etc on this sample graphs before using the actual data set.Using make_blobsIn the below example we use the sklearn library along with the matplotlib to create a scatter plot with a specific style. We choose a sample of 200 data points and also select the colour ... Read More

we often deal with nested lists when doing data analysis in python. In this article, we will see how to find out the longest list among the elements in a nested list and then print this along with its length.Using lambda and mapWe declare a nested list and give it as input to the lambda function along with its length. Finally, we apply the max function to get the list with maximum length as well as the length of such list.Example Live Demodef longest(lst):    longestList = max(lst, key = lambda i: len(i))    maxLength = max(map(len, listA))    return longestList, ... Read More

A proxy server sits in between the client and the actual server. It receives the requests from the client, send it to the actual server, and on receiving the response from the actual server it sends the response back to the client. There are many reasons to use the proxy like hiding the server’s IP address, performance improvement or increasing security etc. In this article we will see how we can create a simple proxy server using python.The three modules SimpleWebSocketServer, , SimpleHTTPSServer and urllib can be used to achieve this. Below we see how we create python class using ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open−source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes.Keras was developed as a part of research for the project ONEIROS (Open ended Neuro−Electronic Intelligent Robot Operating System). Keras is a deep learning API, which is written in Python. It is a high−level API that has a productive interface that helps solve machine learning problems.It is highly scalable, and comes with cross platform abilities. This means Keras can be run on ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open−source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes.The ‘tensorflow’ package can be installed on Windows using the below line of code −pip install tensorflowThe layers API is parth of Keras API. Keras means ‘horn’ in Greek. Keras was developed as a part of research for the project ONEIROS (Open ended Neuro-Electronic Intelligent Robot Operating System). Keras is a deep learning API, which is written in Python. It is a ... Read More

A sequential model is relevant when there is a plain stack of layers. In this stack, every layer has exactly one input tensor and one output tensor. It is not appropriate when the model has multiple inputs or multiple outputs. It is not appropriate when the layers need to be shared. It is not appropriate when the layer has multiple inputs or multiple outputs. It is not appropriate when a non-linear architecture is required.Tensorflow is a machine learning framework that is provided by Google. It is an open−source framework used in conjunction with Python to implement algorithms, deep learning applications ... Read More

A sequential model is relevant when there is a plain stack of layers. In this stack, every layer has exactly one input tensor and one output tensor. It is not appropriate when the model has multiple inputs or multiple outputs. It is not appropriate when the layers need to be shared. It is not appropriate when the layer has multiple inputs or multiple outputs. It is not appropriate when a non-linear architecture is required.Tensorflow is a machine learning framework that is provided by Google. It is an open−source framework used in conjunction with Python to implement algorithms, deep learning applications ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open−source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes.The ‘tensorflow’ package can be installed on Windows using the below line of code −pip install tensorflowTensor is a data structure used in TensorFlow. It helps connect edges in a flow diagram. This flow diagram is known as the ‘Data flow graph’. Tensors are nothing but multidimensional array or a list.Keras was developed as a part of research for the project ONEIROS ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open−source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes. It has optimization techniques that help in performing complicated mathematical operations quickly.The ‘tensorflow’ package can be installed on Windows using the below line of code −pip install tensorflowKeras was developed as a part of research for the project ONEIROS (Open ended Neuro−Electronic Intelligent Robot Operating System). Keras is a deep learning API, which is written in Python. It is a high−level ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open−source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes.The ‘tensorflow’ package can be installed on Windows using the below line of code −pip install tensorflowTensor is a data structure used in TensorFlow. It helps connect edges in a flow diagram. This flow diagram is known as the ‘Data flow graph’. Tensors are nothing but multidimensional array or a list. They can be identified using three main attributes −Rank − It ... Read More