Der Titel suggerierte bei mir eine Argumentation pro/con Kapitalismus (mit einem Kompromissvorschlag?). Das ist das Buch aber nicht wirklich. Stattdessen ist es eine Geschichte der Ökonomie mit Fokus auf Biografie und Theorien von Adam Smith, Karl Marx und John Maynard Keynes. Vor allem die Lehren Keynes scheinen sich mit denen der Autorin zu decken, sie kommen nämlich ziemlich gut weg.
Wer gar nicht gut weg kommt sind Anhänger der Neoklassik oder (noch schlimmer) des Neoliberalismus. Laut Ulrike Herrmann sind sie heute vor allem so populär, weil es nach dem 2. Weltkrieg zu einem natürlichen "Wirtschaftswunder" gekommen sei - trotz der Lehren des Neoliberalismus; nur dass es gelungen ist, den Neoliberalismus als Treiber dieses Booms zu etablieren. Sie lässt kein gutes Haar an Milton Friedman und Ludwig Erhard und ist gerade in den letzten 2 Kapiteln sehr positionsstark und kritisch. Das steht ein bisschen im Kontrast zu den ersten 80% des Buches, die sich eher historisch beschreibend lesen.
Ein bisschen unsicher bin ich noch, ob die aktuelle Wirtschaftslehre wirklich so hoffnungslos ist, wie die Autorin es klingen lässt. Die Warnung, dass sich seit den 1980ern eine "gigantische Spekulationsblase" aufbläht, klingt ungemütlich ähnlich zu der Schar der Crashpropheten der letzten Jahre. Auch an der Effizientmarkthypothese lässt sie kein grünes Haar (das ist die Grundlage meiner persönlichen Altersvorsorge, wohlgemerkt). Und gleichzeitig ist das Buch keine Brandschrift gegen den Kapitalismus, eher ein Plädoyer für eine Rückkehr zu einem Kapitalismus der Realwirtschaft, nicht einen der entkoppelten Finanzmärkte.
Ich habe sehr viel gelernt (wusste vorher eigentlich nichts über Ökonomie). Ohne Frage habe ich (noch) nicht alles aus den vielen verschiedenen Lehren verstanden, aber viel zum Nachdenken und Weiterlesen mitgenommen.
Endlich mal eine Buffett-Biografie gelesen, beziehungsweise gehört. Die kam erst vor ein paar Monaten raus und war sehr angenehm weg zu hören.
Das Buch bietet einen guten Überblick über Warren Buffetts Leben und Handeln. Ganz nebenbei lernt man auch viel über die amerikanische Geschichte und das Aufblühen des amerikanischen Kapitalismus.
Buffett ist auf jeden Fall ein ulkiger Charakter, der außerdem zu einem der reichsten Menschen der Welt wurde und sich gerade in seiner zweiten Lebenshälfte bewusst für gute Dinge wie Bürgerrechte, Recht auf Abtreibung und universelle Krankenversicherung einsetzt.
Highlighting the gender data gap: The absence of information and mechanisms required to make life fair for both genders.
Caroline Criado Perez shows how "male" is almost always the norm and "female" the exception - from the workplace over the size of smartphones to medical research.
The data she presents draws a sobering picture of inequality across all areas of life. A very important book.
A book about deep learning that really caters to my preferred learning style: It covers a lot of real-world applications (text analysis, sentiment analysis, vision, ...) and provides clear and practical code examples that invite you to try for yourself. Ultimately, trying it out and building something yourself is the way to really grasp the concepts, I think, and this book does a really good job at it.
While Francois Chollet does give some introduction in the beginning, it may be too little for the complete beginner. For anyone starting at a slightly-above beginner to intermediate level, I'd wholeheartedly recommend this book to learn Deep Learning with Python.
The first time I really leaned into Greek mythology. Stephen Fry does a great job at retelling the myths, providing humor and context so that the stories stick. It's still a lot, so I won't remember all of it. This may also be because I listened to the audiobooks so I couldn't earmark or highlight certain chapters or characters. Still, Stephen Fry reads it himself, so I would definitely recommend the audio version. He's definitely my favorite person to read any audiobook in the English language.
Wow, what a story.
I was only vaguely aware of the publishing scandal surrounding the "Hitler diaries" in 1983. The Hamburg-based magazine Stern had spent millions to fetch them through one of their journalists who in turn received them from a dealer that managed to acquire them from East Germany. Except: None of this was true and honest. The Stern management had committed to the deal behind their editors' back, the journalist kept half the money for himself (and spent lavishly on Hitler memorabilia) and the dealer in fact did not acquire the "diaries", but obediently forged them one by one as more money kept pouring in.
I couldn't stop reading. This story has everything and raises some interesting questions aside from the story itself: To what lengths do we go to deceive ourselves if we desire for something to be true? How easy do we calm our inquisitory and skeptic nature if an authority we trust has provided us with enough plausible explanations, even if they themselves have been deceived due to a series of mistakes and oversights?
Robert Harris wrote this book in 1986, briefly after the whole story had collapsed. I do not know what additional information has come to light in the 30+ years since, so this book may in fact be a little out of date. Also, I would have wished for a little transparency on how Harris was able to reconstruct the series of events, down to individual conversations. If the book has shown me one thing, it is to be skeptical of someone's narration of events, as long as the source isn't validated completely. What remains is a little uncertainty as to which assumptions Harris had to make to be able to tell it in such a cohesive and compelling manner. In any case, a book well worth reading if the story interests you.
The story of astrophysicist Mike Brown whose calling it is to observe the skies, trying to find new objects in our solar system. When he finds one particular object, the space community has come to grips with the fact that Pluto may actually not be a planet - and what exactly is a planet anyways?
Extremely entertaining, and sometimes shocking to learn about the politics of "who saw it first". I liked it a lot.
The subtitle of the book is "Memories of a Nation" and that describes it pretty well: From a non-German's perspective, MacGregor, who is the director of the British museum, describes German history in the format of many little episodes, each centered around one object, person, place or theme. He highlights how these things are good examples that explain the formation of a collective identity. They are tied together under one overarching thesis: This German identity has been defined by four great traumas:
- 1618-1648: The Thirty Year's War
- 1806-ish: Napoleon's victory over Prussia; most distinctly Napoleon's entering and occupation of Berlin
- 1933-1945: The "Third Reich" and the Holocaust
- 1949-1990: The division of Germany in East and West.
This is a history book. But it isn't a book about all of German history. MacGregor cherry-picks to tell the stories that best illustrate his main thesis. I think this is actually the strength of the book: Told as multiple stories, it doesn't feel like a dry list of events. Instead, it's compelling, interesting and even entertaining to read.
I've highlighted much for further reading and can recommend this book to anyone who is interested in German history and who wants to understand how German identity has been and is being formed.
A book about data analysis with Python using the popular Pandas library (de-facto standard for data wrangling), written by the creator of Pandas himself. Or as I like to call it: The Pandas Book.
First of, don't get me wrong: The 3-star rating doesn't mean this is not a good book. It just wasn't written in a style that I would have personally preferred.
Pros:
- Very extensive coverage of (almost) the complete Pandas API. I feel like I have seen (and tried) all major Pandas features now.
- Many code examples to see features in action.
- Excellent last chapter where the author goes through real-world data sets and shows how to explore and analyse data using Pandas features.
Cons:
- Large majority of examples using dummy data (
fooandbarand random numbers). While this shows the technical interface, it didn't help me grasp the application potential in many cases. - The structure made the book feel like official API documentation extended with a bit of prose. To be fair, the author made that clear in the preface, but the book had promised me a "hands-on guide (...) packed with practical case studies", and I only found that to be true in the last chapter.
What helped me was having a group of friends to discuss the book. We read one chapter a week and shared our notebooks of playing around with Pandas and our own data sets. While I personally prefer a slightly different style of coding books, studying this one has helped tremendously in becoming more familiar and confident in using Pandas for my data science projects.
James Clear describes how habits work in your brain (4 stages: cue, craving, response, reward) and how you can use that knowledge to build good habits and break bad ones.
The framework makes sense and it's clearly laid out in the book. His examples gave good context and made the text enjoyable and quick to read.
One thing I didn't like were the many pointers to the website and newsletter. There are even two chapters in the end which are "bonus chapters", meaning you can get them if you sign up for the newsletter. The recommended reading at the end is... a pointer to the newsletter. Would have preferred to have this book be a bit separate from online growth strategies.
In any case, the content was really good and I'm sure I'll make use of this. I've already started implementing some strategies in my life.
This was heavy. Read any chapter in this book if ever you forget for a moment the atrocities that took place in Auschwitz.