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< JS C C++ Python >< coding Robotics CNC > < Robotics CNC Links > < CNC >< CNC tutorial > < 3d printing >< Azure MongoDB Spark > < AI Pytorch > < Ship building > < GIT >   source:  https://www.freecodecamp.org/news/learn-pytorch-for-deep-learning-in-day / Main elements name dimension application tensor Scalar 0 dimension scalar = torch.tensor(7) vector single dimension tensor vector = torch.tensor([7, 7]) can contain many numbers matrix Matrices are as flexible as vectors, except they've got an extra dimension MATRIX = torch.tensor([[7, 8], [9, 10], [6.5, 7.2]]) Tensor tensors can represent almost anything TENSOR = torch.tensor([[[1, 2, 3], [3, 6, 9], [2, 4, 5]]])  Attributes and methods name type example result explanation ndim attribute scalar.ndim 0 checks dimension vector.ndim 1 MATRIX.ndim 2 TENSOR.ndim 3 item method scalar.item() 7 retrieve the number from tensor shape attribute vector.shape torch.Size([2]) How the e

 < CSS >< PHP >< 2d-3d webdsgn links >< Agile SQL >< Scratch Blockly Android Blockchain > < Azure MongoDB Spark >< Work helpers >   spark apache -  https://spark.apache.org/docs/latest/api/python/getting_started/index.html databricks: https://www.databricks.com https://www.databricks.com/solutions/industries/retail-industry-solutions Top Databricks Data Intelligence Platform Alternatives SQL Server. MongoDB Atlas. Oracle Database. Teradata VantageCloud. Amazon Redshift. SAP HANA Cloud. Google BigQuery. Snowflake Data Cloud. What is Databricks used for? Databricks is an industry-leading, cloud-based data engineering tool used for  processing and transforming massive quantities of data and exploring the data through machine learning models . Recently added to Azure, it's the latest big data tool for the Microsoft cloud. https://azure.microsoft.com/en-us Azure  is a cloud computing platform What is Azure? The Azure cloud platform is more than

 < JS C C++ Python >< coding Robotics CNC > < Robotics CNC Links > < CNC >< CNC tutorial > < 3d printing >< Azure MongoDB Spark > < AI Pytorch > < Ship building > < GIT >   programming language history  This is taken from somewhere that I have not taken a note. It is a real good work. It describes the root for the languages. I have found this schema on the internet around 2000. And at this time visual basic did not evolved to something new. but got mixed with C# and all other possible language forming .NET which was really good (under c# this is written).  Second note for this schema, although internet was there (since 70`s?) the sofware related to internet did not really show up, and were not really strong enough in the market. The revolutionising of the internet ability changed this schema radically. While there was few programming language at the 90`s, on 2010 there were I guess more than 100 in the market which were active