A curated list of books, libraries, apps and papers we love at Tryolabs.
The training period at Tryolabs is at least two weeks. Its goal is to get up to speed with the tools the company uses. This repo contains a list of tutorials and documentation useful for becoming familiar with the Django/Python ecosystem.
During the training period, we recommend doing at least an hour a day of pairing with a mentor who has experience in the team, to get to know the work process and the tools. The goal is to get the mentor to coment on the tasks they are doing to the person in training.
A very useful development tool that lets us create isolated Python environments for every project, isolating the set of libraries used in the project from the system.
Just use git. A good resource is the Pro Git book by Scott Chacon, and GitHub's help site.
The PEP8 is the definitive reference for Python coding style. The pep8 package can be used to scan code and find parts that don't conform to the PEP8 standard.
Just use Postgres. It's not just a database, it's a complete "relational database framework" that provides full-text search, GIS and extensive documentation of every knob and lever.
Are you sure Postgres can't do what you want?
This list of books represents, in our opinion, a good balance between theory and practice. We don't expect everyone to read all of these, rather, they should take a few books from this common list.
- Machine Learning: The Art and Science of Algorithms that Make Sense of Data
- Learning scikit-learn: Machine Learning in Python
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Principles of Data Mining
- Foundations of Statistical Natural Language Processing
- Managing Gigabytes: Compressing and Indexing Documents and Images
- Introduction to Information Retrieval
- Modern Information Retrieval
- Information Retrieval: Searching in the 21st Century
- Information Retrieval: Algorithms and Heuristics
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent