Hi Pals,
Seeking a comprehensive data science book for Python. Recommendations needed covering Python basics, data manipulation, statistical analysis, visualization, machine learning, and real-world projects. Grateful for any insights or book suggestions.
Thanks in advance…
When I started diving into data science with Python, I found “Python for Data Analysis” by Wes McKinney super helpful. It covers everything from Python basics to data manipulation, statistical analysis, and even dives into machine learning concepts. Personally, I can guarantee it’s a fantastic resource to kickstart your journey. Plus, it includes practical examples and real-world projects that really solidified my understanding. Definitely worth checking out
Although I don’t have any firsthand experience, you could try The Python Data Science Handbook teaches you how to store, modify, and extract insights from data in an efficient manner using NumPy, Pandas, Matplotlib, Scikit-Learn, and other Python modules.
“Python for Data Analysis” by Wes McKinney might not be the best choice for complete beginners, as it assumes some familiarity with Python and basic data analysis concepts.
Data Science from Scratch: First Principles with Python by Joel Grus (slides) - one of the best guides for people who want to become a data analyst.
One of the best comprehensive data science books for Python that I’ve used is “Python for Data Analysis” by Wes McKinney. It covers Python basics, data manipulation with pandas, statistical analysis, data visualization with matplotlib, and some machine learning concepts. Additionally, “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron is excellent for diving deeper into machine learning and includes real-world projects. These books are thorough, practical, and well-structured, making them ideal for both beginners and those looking to expand their data science skills with Python.