![]() ![]() ![]() But what if we could regain some of our lost evolutionary strength by simulating the environmental conditions of our forebears? Those feats of endurance now seem impossible in an age where we take comfort for granted. "Our ancestors crossed deserts, mountains, and oceans without even a whisper of what anyone today might consider modern technology. Here is the book description, extracted from Amazon: What a freaking awesome name! And what an AWESOME book! I must say I was surprised by it. ![]() And this is exactly what happened with "What Doesn't Kill Us". So, as I like to say, I tend to buy some books just by reading its name. Python Programming for the Absolute Beginner: Hello World!: Computer Programming for Kids and Other Beginners: Think Python: How to Think Like a Computer Scientist: īeginning Python: From Novice to Professional: In this video I'll list the top 10 books if you're serious about learning python, whether you're a beginner and or advanced (even a kid! lol) I've programmed in Python before and I must say I love Python! On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective." The debugger is written in Python itself, testifying to Python's introspective power. ![]() A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. When the program doesn't catch the exception, the interpreter prints a stack trace. Instead, when the interpreter discovers an error, it raises an exception. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Often, programmers fall in love with Python because of the increased productivity it provides. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed. Python supports modules and packages, which encourages program modularity and code reuse. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. "Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Have you ever wondered what are the best books to learn Python? ![]()
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