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Browse 17 free Python books ordered by Pythonmeter, a score based on bestseller, author, audience and Reddit ratings. Find books for beginners and experts on topics like data analysis, game development, recursion, ciphers and more.
- Finance
A list of most popular Python books on Finance. Toggle...
- Automate The Boring Stuff With Python: Practical Programming for Total Beginners
The second edition of this best-selling Python book...
- High Performance Computing
A list of most popular Python books on High Performance...
- Numerical Programming and Data Mining
A list of most popular Python books on Numerical Programming...
- DevOps and Testing
A list of most popular Python books on DevOps and Testing...
- Computer Security
A list of most popular Python books on Computer Security...
- Microcontrollers
A list of most popular Python books on Microcontrollers ......
- Engineering
A list of most popular Python books on Engineering. Toggle...
- Finance
A web interface and a PDF version of the book are available for free. The book covers the basics of Python programming, data types, control flow, functions, modules, packages and more.
Python Crash Course is a fast-paced, thorough intro- duction to programming with Python that will have you. writing programs, solving problems, and making things. In the first half of the...
27 lut 2024 · Learning Python. 4th Ed. Mark Lutz. 2009. O'ReillyPart 1: getting startedPart 2: types and operationsPart 3: statements and syntaxPart 4: functionsPart 5:...
25 lip 2024 · In this guide, we unveil a curated list of 10+ free Python books in PDF format, catering to both beginners and experienced developers. Explore diverse topics, from Python fundamentals to advanced concepts, and accelerate your learning with these invaluable resources.
27 lut 2024 · Python for Data Analysis. Wes McKinney. 2013. 1. preliminaries. 2. introductory examples. 3. IPython: interactive computing. 4. NumPy basics: arrays and vectorized computation. 5. getting started with Pandas. 6. data loading, storage, and file formats. 7. data wrangling: clean, transform, merge, reshape. 8. plotting and visualization.
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