New York

NYC’s 1st Python Coding Bootcamp

Career-focused curriculum

Flexible Learning Options

Python Software Development and Data Science Courses
Bootcamp averages < 5:1 students: instructor
Full-time (14 week) bootcamps
Part-time evening (24 week) bootcamps
Python Foundation intro program
Evening workshops

We develop technology skills for hiring needs

Mission: We strive to bridge the gap between “business” and technology in order to boost, launch or change your career.

Who: Career changers, recent grads, complete beginners and those with some programming experience.

What: Project-based technology curriculum focused on the Python programming language along with instruction in JavaScript and frontend languages.  There the option to choose an industry focus such as finance (FinTech).  Career services and placement during and after the program.

Structure: Three phases over 14 weeks (full-time) or 24 week (part-time). There also is “Phase 0” pre-work that students take before Day 1. Students must pass an assessment in order to advance from one level to the next.  For workshops and preparation programs please see our listing here.

Since individuals learn at different paces, the option to repeat a phase is included in tuition


  • Python Fullstack Immersive

    Our fullstack immersive and part-time programs emphasize the Python coding language. Reasons we focus on Python include simplicity, speed and analytical capabilities. It is popular in Data Science, Finance and other industries. Python developers are sought out by companies such as Google, Buzzfeed, Bank of America, Goldman Sachs and more.

    Our Python part-time and full-time immersive programs teach you how to develop web applications using Python and frontend languages such as JavaScript, HTML/HTML5 and CSS/CSS3.  Topics covered include: Python libraries, data structures, SQL, Pandas, Flask, AJAX and more.

    Full-Time: 14 weeks, 10:00 am – 5:00 pm
    Part-Time: 24 weeks, 2 evenings/week, 6:00 pm – 9:00 pm

    View Full-Time View Part-Time

    * Indeed (7/2/2019)


    Python Ecosystem

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    The average Jr. Python Developer earns $98,579 in the New York City area*

  • Python Foundation

    Our introductory evening program teaches the fundamentals of Python development, the core coding language of our fullstack curriculum.  Many use Python Foundation to prepare for our more immersive bootcamp programs.  Upon passing Python Foundation, students may skip the bootcamp pre-work and the Foundation course cost many apply to your tuition.

    Many also just take the course to help automate the “boring stuff” and before more efficient, particularly with using Microsoft Excel and other office tools.  Topics covered include variables, data structures, introduction to algorithms, computer science topics and more.

    Schedule: 2 evenings per week over 4 weeks, 6:00 pm – 9:00 pm

    View Course

  • Data Science

    Companies in all industries have immense amounts of data but need specialists to analyze the data in order to make proper business decisions. A data scientist cleans, organizes and analyzes data using tools such as distributed computing, predictive modeling, machine learning, statistics, math and visualization. The Python coding language, core to our curriculum, is used heavily in the data sciences due to its analytical capability.

    Our course teaches the skills to launch a data science career.  In addition to data scientist,  graduates go into roles such as data analyst or data engineer after the program..

    Full-Time: 14 weeks, 10:00 am – 5:00 pm

    Part-Time: 24 weeks, 2 evenings/week, 6:00 pm – 9:00 pm


    View Our Course

    Data Partners Include

    Harvard Business Review Named Data Scientists "The Sexiest Job of the 21st Century"

  • Quant Algo

    Called the “Rocket Scientists of Wall Street” by Investopedia, Quants are in high demand but difficult to find.  Our introductory and more advanced course helps builds the skillset wanted by recruiters.

    Beginner: Two evenings per week over four weeks, our introductory course provides an introduction to quantitative algorithms for beginners.  Topics include: Pandas, basics of Python Pandas library, basic pairs trading algorithms and model overfitting.

    Advanced Bootcamp: Created in partnership with a leadings stats-arb hedge fund this course helps you understand core statistical concepts and model time series for any industry.  It is offered as a part-time bootcamp (2 evenings per week over 24 weeks).

    View Our Course


    Companies Using Quant - Algos

    Quants are known as the rocket scientists of Wall Street

A fantastic program with dedicated and knowledgeable instructors which focuses on an industry (finance and banking) that is ripe for change. It is tough but you will learn a lot.

Marc CFA, Wharton grad, hackathon champion


Applications are accepted on a rolling basis.  No experience is required although we do engage all applicants in a thorough application process.

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Python Foundation

To help prepare for the application process we offer an introductory Python Foundation program which consists of 4 weeks (2 evenings per week) of instruction with no pre-requisites.   If an individual enrolls in our full or part-time bootcamp program, the cost of the Foundation course may apply to tuition.

View Python Foundation



The number one ingredient we look for in applicants? Passion

Kai Head of Admissions

Our admissions process

  1. Apply
  2. Schedule a phone call
  3. Refundable deposit to secure your spot
  4. Enroll
  5. Pay balance

Tuition & Financing

Full Time (14 Weeks)


Part-Time (24 Weeks)


With our lending partners you can get pre-approved for a loan in only five minutes putting only $500 down for tuition.

*Financing is available for qualified applicants

Lending Partners

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How it works

  • Get pre-approved for a loan in as little as 5 minutes with no impact to credit
  • Low, interest only payments while in school and even after
  • Customer service available via email, phone (888-510-0533) and instant chat

Apply now for financing

Apply for Financing



Our team consists of industry professionals passionate about community and education.