< JS C C++ Python >< coding Robotics CNC > < Robotics CNC Links > < CNC >< CNC tutorial > < 3d printing >< Azure MongoDB Spark > < AI Pytorch > < Ship building > < GIT > Data science R For statistical computing Stat modeling data analysis clustering time series forecasting OOP Python, it has a graph and stat packagees Matpotlib Numpy ScipPy Deep Learning packages TensorFlow PyTorch Keras SQL relational db NoSQL; non relational, distributed db MongoDB, Radis, Cassandra Hadoop: Big data; management and storage of huge data It is a storage of Big Data Open source software It uses distributed storage system called Map Reduce PAckages in Hadoop: Pig, Hive, HBase Tableau Data visualization software Specialized in graphical analysis if data Interactive visualisation and dashboards: treemaps, histograms, Box Plots It connects with spreadsheets, DB and cloud Weko For getting familiar with ML in action Open source it was GUI (no co
< 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
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