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Top 5 Python libraries to learn for Data Science
Python is the most widely used programming language today. When it comes to solving data science tasks and challenges, Python never ceases to surprise its users. Most data scientists are already leveraging the power of Python programming every day. Python has been built with extraordinary Python libraries. let see Top 5 Python libraries to learn for Data Science.
TensorFlowNumPySciPyPandasMatplotlib
Tensorflow
Tensorflow makes the definig functions very easy. Ituse scaler vector matrix for comupting the data.The core open source library to help you develop and train ML models.It helps in easy data model building. This model later came to train and compute the data.tesnorflow data visualization and statistical modeling tools are faster to compute the complex data
TensorFlow library do to numerical computations, which in itself doesn’t seem all too special, but these computations are done with data flow graphs. In these graphs, nodes represent mathematical operations, while the edges represent the data, which usually are multidimensional data arrays or tensors, that are communicated between these edges.
Numpy
Numpy is a toolbox for your complex mathamtical operations, data sets in any format like vector,matrix etc. It supports for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.. www.technoflights.com/top-5-python-libraries-to-learn-for...
Top 5 Python libraries to learn for Data Science
Python is the most widely used programming language today. When it comes to solving data science tasks and challenges, Python never ceases to surprise its users. Most data scientists are already leveraging the power of Python programming every day. Python has been built with extraordinary Python libraries. let see Top 5 Python libraries to learn for Data Science.
TensorFlowNumPySciPyPandasMatplotlib
Tensorflow
Tensorflow makes the definig functions very easy. Ituse scaler vector matrix for comupting the data.The core open source library to help you develop and train ML models.It helps in easy data model building. This model later came to train and compute the data.tesnorflow data visualization and statistical modeling tools are faster to compute the complex data
TensorFlow library do to numerical computations, which in itself doesn’t seem all too special, but these computations are done with data flow graphs. In these graphs, nodes represent mathematical operations, while the edges represent the data, which usually are multidimensional data arrays or tensors, that are communicated between these edges.
Numpy
Numpy is a toolbox for your complex mathamtical operations, data sets in any format like vector,matrix etc. It supports for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.. www.technoflights.com/top-5-python-libraries-to-learn-for...