GDG DevFest 2018 is our annual all-day developer conference that offers speaker sessions across multiple product areas, codelabs, hackathon and more!
Please sign up here
IMPORTANT NOTE ***
The room we have can only fill 120 people, and we already have around 200 people who have said they will be attending via various meetup communities. It is a first come first serve basis, so please show up early! If you're unable to get into this bootcamp, we have the same workshop happening the following weekend on the January 19th & 20th.
This coming January 12th & 13th, we welcome to join our upcoming cohort for a hands-on developer bootcamp where you will solve machine learning problems from beginning-to-end using Logistic Regression.
This workshop explores Python's place in the scientific ecosystem, and how the language, with several readily available open-source libraries, can serve as a powerful tool for data analysis.
Why Python for Data Science is Important?
Python is a general-purpose programming language that is becoming more and more popular for doing data science. It is often the choice for developers who need to apply statistical techniques or data analysis in their work, or for data scientists whose tasks need to be integrated with web apps or production environments. In particular, Python really shines in the field of machine learning. Its combination of machine learning libraries and flexibility makes Python uniquely well-suited to developing sophisticated models and prediction engines that plug directly into production systems.
One of Python’s greatest assets is its extensive set of libraries. Libraries are sets of routines and functions that are written in a given language. A robust set of libraries can make it easier for developers to perform complex tasks without rewriting many lines of code.
What are the Topics Covered?
Basics: Variables and Elementary Types, Operations, Console and Functions
Data Structures: Tuples, Lists, Sets, Dictionaries/Maps
Control flow statements: if, for, break, continue and else statements, while loops
File handling: File I/O and context managers
Exception handling: try, except and finally statements, handling and raising exceptions.
Who Can Attend?
If you have a desire to learn new things, have a programming background/
*** Breakfast, Lunch & Snacks Included!