**Books** (#) High Performance Python for Data Analytics ![](cover.jpg) My new Book High Performance Python for Data Analytics from Manning is now in [Early Access](https://www.manning.com/books/high-performance-python-for-data-analytics) High Performance Python for Data Analytics is your guide to optimizing every part of your Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs. You'll learn to rewrite inefficient data structures, improve underperforming code with multithreading, and simplify your datasets without sacrificing accuracy. (#) Bioinformatics with Python ![](book.jpg) ![](book2.jpg) If you are interested in using Python for Bioinformatics, you might want to check out the second edition of my [book](https://www.packtpub.com/big-data-and-business-intelligence/bioinformatics-python-cookbook-second-edition). This book is slightly different from the standard books on Bioinformatics and Python: It is not about teaching Bioinformatics algorithms, but about solving practical day-to-day problems with Python, for example: (##) Genomics ![P. falciparum genome (malaria parasite)](book_genomics.png) (##) Proteomics Lots of stuff including movie production with proteins. ![Around protein P53](https://www.youtube.com/watch?v=CuEP40Id9O8) (##) Next-Generation Sequencing ![Distribution of read depth per SNP type (coding, non-coding, ...)](book_ngs.png) (##) Gene Ontologies ![Gene ontology trees](book_go.png) (##) Population Genetics ![Principal Component Analysis of Human Genomes](book_popgen.png) (##) Population Simulation ![Simulation of population declines](book_sim.png) (##) Phylogenetics ![Phylogenetics of the Ebola Virus](book_phylo.png) (##) Using Geo-referenced biological data ![Distribution of species around the Galápagos](book_geo.png) (##) Interacting with R from Python ![GGplot2 via RPy](book_R.png) (##) Other topics - Advanced Python tips related to high-performance computing - Data pipelines - Dask and Spark - Cython and Numba The book has a free [Git repository](https://github.com/PacktPublishing/Bioinformatics-with-Python-Cookbook-Second-Edition). The repository of the first edition of the book is [still available](https://github.com/tiagoantao/bioinf-python). [Home](/)