'Why Python is Best Programming Language for Data Science & Machine Learning?' by javinpaul datascience python
This is an extension of the second point, but Pandas is such an essential tool for Data Scientists that It warrants a special mention. Most of the Data Science project I have worked upon starts withIt not only allows you to clean and massage your Data but also to analyze the data.
You can load data from various data sources like CSV files,Pandas contain a large variety of functions for data import, export, indexing, and data manipulation. It also provides a handy data structure like DataFrames and Series and efficient methods for handling them. For example, you can use Pandas to reshape, merge, split, and aggregate data. In short, Pandas is an indispensable tool for Data Scientists along with the Jupyter Notebook.Data Analysis with Python and PandasComing back to the topic, because of all these excellent tools, frameworks, libraries, and simplicity of the Python programming language, Data Scientists love Python and continue to love it.for Data Science and Machine Learning 1. Python is Simple and Intuitive. 2. Jupyter Notebook allows Data scientists to collaborate and combine cod and output. 3. Python packages and libraries likeIf you still have doubts, here is a chart from IBM's survey about the most popular programming language for Machine learning from the last couple of years. It's a bit old, but it shows a clear trend that Python is way ahead with mainstream programming language like Java, C++, JavaScript when it comes to Data Science and Machine learningwhy Python is the most popular programming language for Data Science and Machine learning . I am also from the same camp. I did try R but not more than a couple of days. Why? Because I wanted to spend my time on something which I can use in places other than Data Science, and on that parameter, Python is well ahead with R., here are some courses you may want to checkout to learn Python from the Data Scientist point of view.
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