In the groundbreaking book "Data Feminism," authors Catherine D'Ignazio and Lauren F. Klein embark on a transformative journey into the heart of data science, viewed through the lens of intersectional feminism. At a time when data holds the power to both mend and mar societies, D'Ignazio and Klein challenge the prevailing narratives dominated by a white, male perspective, proposing a fresh, inclusive approach. By weaving together the principles of intersectional feminism with data ethics, they illuminate the path towards employing data science as a tool for justice, rather than an instrument of discrimination. Through compelling examples and insightful analysis, "Data Feminism" unfolds the myriad ways in which the integration of feminist thought into data science can unearth biases and prompt a reevaluation of what we consider objective knowledge. From rethinking data visualization to acknowledging the invisible labor powering automated systems, the authors advocate for a data science practice that is mindful of power dynamics and committed to dismantling inequalities. This book is not merely a call to action for data scientists and feminists alike but a manifesto for a more equitable future where data serves all of humanity, challenging us to reconsider who benefits from data and who gets left behind.