Importance and methods of data collection and data analysis using Python; precise principles and techniques of information processing and exploitation. "The first volume"

In today's world, data is recognized as one of the most valuable assets. Organizations, companies, and researchers use data to make intelligent decisions, predict trends, and optimize processes. Python has become one of the most popular programming languages ​​in the field of data collection and analysis due to its simplicity, flexibility, and powerful libraries.<br><br>VanderPlas, J. (2023). Python Data Science Handbook: Essential Tools for ...Géron, A. (2022). Hands-On Machine Learning with Scikit-Learn, Keras, and ...Raschka, S., &amp; Mirjalili, V. (2019). Python Machine Learning (3rd ...Wickham, H., &amp; Grolemund, G. (2017). R for Data Science: ...مستندات رسمی پایتون: https://docs.python.org/3/ ...مستندات pandas: https://pandas.pydata.org/docs/ ...مستندات NumPy: https://numpy.org/doc/stable/ ...مستندات Scikit-learn: https://scikit-learn.org/stable/documentation.html ...مستندات Matplotlib: https://matplotlib.org/stable/contents.html ...مستندات SciPy: https://docs.scipy.org/doc/scipy/ ...Project Jupyter: https://jupyter.org/documentation ...Coursera: “Applied Data Science with Python” by University of Michigan ...edX: “Python for Data Science” by UC San Diego ...DataCamp: “Data Scientist with Python” career track ...Kaggle Learn: “Python” and “Data Science” courses ...Udemy: “Python for Data Science and Machine Learning Bootcamp” by ...