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Intro to Python

Personalized Applied Learning


Introduction to Python is a live online course focused on teaching the basics of computer science

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Intro to Python

Our Intro to Python Course provides an introduction to software engineering in the Python programming language. Students with no experience will go from zero to understanding the core concepts of coding.


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What You'll Learn

You will learn the fundamental concepts of programming in Python, concepts that are shared by almost all programming languages. The course is a great way to find out if coding is right for you. Even if you have no intention of becoming a software engineer, your new expertise will help you perform faster data analysis, communicate more effectively with technology teams and provide a foundation for further study in programming or data science.


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Is coding for you: keep learning

Intro to Python is an excellent intro to programming in general and the Python programming language in particular. This course is a great preparation for our rigorous bootcamps in Data Science and Web Development. 

If you'd like to learn a little bit more before jumping into one of our full bootcamps, you can move on from Intro to Python to our intermediate classes: Intro to Data Science or Intro to Software Development. Please see the graph on the home page for a clear picture of our courses.

Many of our most successful students have started with Intro to Python.

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Ranked Top Among Coding Bootcamps Worldwide

Cohort Start Dates

Online Full Time

Application Deadline: September 18th 2020

Start Date: September 21st 2020


Upcoming: October 26th 2020 and November 30th 2020

Online Part Time

Application Deadline: October 2nd 2020

Start Date: October 5th 2020


Upcoming: November 9th 2020 and December 14th 2020

Bangalore - Full Time

Application Deadline: 12 Aug 2020
Start Date: 19 Aug 2020

Bangalore - Part Time

Application Deadline: 02 May 2020
Start Date: 09 May 2020

Mumbai - Part Time

Application Deadline: 12 Aug 2020
Start Date: 19 Aug 2020

Online - Full Time

Application Deadline: 12 Aug 2020
Start Date: 19 Aug 2020

Online - Part Time

Application Deadline: 02 May 2020
Start Date: 09 May 2020


Data and data types, operations on numbers and text, text input and output.
Control Flow
Conditional logic, loops, and error handling.
Data structures
Dynamic data structures with Python's lists and dictionaries.
Structuring programs using functions and working with imported libraries.
Line based text files, JSON data, and CSV tabular data.
Making web requests to APIs to retrieve data from services such as weather and stocks.

No Prerequisites

This course is designed with complete beginners in mind. Just bring a laptop with a web browser.


Class Schedule

Full Time Option (1 week)

  • Monday and Wednesday: 10 am - 5 pm
  • Tuesday and Thursday: 10 am - 3:30pm
  • Friday test: 10 am - 1 pm

Part Time Option (4 weeks)

  • Mondays and Wednesdays: 6 pm - 9 pm
  • Last Wednesday test: 6 pm - 9 pm


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Admissions & Fees

Intro to Python



No admission requirement. Seats are limited and get assigned on a first come first serve basis.

Intro to Python

₹ 2000


No admission requirement. Pay ₹2000 and get admitted. Seats are limited and get assigned on a first come first serve basis.

Alumni Success Stories

Yulia, who enrolled in our FinTech course, is also the first female graduate of Byte Academy. Read about her experience transitioning from Finance into FinTech in addition to perceptions she experienced as a woman (and non-US citizen) in the tech community. Yulia is currently a Data Scientist at Plaid.*
Byte really understands what it takes to get a great job…I can genuinely say that the learning which Byte Academy provided me with, was pinnacle to receiving an offer.
Byte Academy has been fantastic… I really like launching myself into an immersive hands on program from day one. Where an experience like this teaches you the theory, but every moment is devoted to learning how to apply that theory.
via Perth, Australia
The skills I learned helped me pivot into the tech industry. The base language of Byte, Python, is particularly valuable for anyone looking to get into data-intensive industries or roles (I recently accepted a position as a Data Integration Engineer).
Having exposure to CFD, I learned how mathematical models are used to solve analysis problems. I wanted to know the coding behind them and then do it myself. But it was implemented in C++, which has a hard learning curve. Recently learned about data science & since it was done using Python which is comparatively easier, I got interested in data science. Its scope for implementing improvements, optimizations & new practices based upon data analysis interested me. I can also go into machine learning & take advantage of the large data sets available. And also due to growing opportunities in the field.
c. raj india
C. Rajshekhar
CFD Analyst, Data Science
I heard Python was the most comprehensive programming language so I wanted to learn it. I heard about Byte Academy from a friend studying there. Also, I wanted to return to India and Byte offered the perfect opportunity for me to do that. It also seemed like a small institution where I could get all the hands-on learning I need to learn to program.
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Mathai Puthiakunnel
University Student, Python Bootcamp Graduate
My experience at Byte Academy Bangalore was a life changing one. I went from having no experience with coding to being very comfortable with Python and SQL. The experience was both challenging and exciting and requires a lot of hard work behind the scenes to keep up with the intense curriculum and work load. The teaching assistants were always helpful and very knowledgable. I would recommend this school to anyone without coding experience and especially to people who have a passion for working with computers. This was truly an amazing experience.
Lebohang Mashatola
Python Bootcamp Graduate

Meet Your Instructors

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Greg Smith

Lead Instructor

Greg originally learned Python as a scripting language for environmental mapping software and statistical analysis. He graduated with a BS in Environmental Science (environmental toxicology specifically) and minors in Economics and Biology. He then turned to web development which he found more fulfilling than statistics, though he has also done iOS development. His areas of interest include front-end development in React and statistical analysis in sports, primarily the NHL and European soccer. In his spare time, he enjoys playing soccer and visiting breweries, and is an avid homebrewer.


Nikhil Panchal


Nikhil is a seasoned IT professional with over 15 years of experience working in the Technology divisions of Top Tier Investment banks on Wall Street. During his career he has worked on a variety of applications in the FinTech space that range from Client facing Investment web sites, to core back-end trading systems. He holds a Masters degree in Computer Science from Binghamton University, New York as well as an MBA in Finance from NYU’s Stern School of Business. His areas of interests range in a variety of topics in both computer science and finance, the main ones being Web programming and Long term Value Investing. In his spare time Nikhil enjoys reading and spending time with his family.

Trainer Profile - Jithin J Kumar

Jithin J Kumar

Lead Instructor

Jithin is a highly motivated technologist with experience in wide range of industries like finance, healthcare, HR, Marketing and civil engineering domain. A self motivated individual in multiple technology stack namely Python (Django, Flask), Javascript (React JS) on Web Development domain and Data Science domain like Recommender Systems, Time Series Analysis and Web Scraping.

Trainer Profile - Aditya Teng

Aditya Teng


Aditya graduated with B.E. in Mechanical Engineering and then learned Python for Data Analysis and Machine Learning. He has worked on projects related to automation with python, data analytics and web development. In his spare time, he enjoys playing football and watching the English Premier League.

Trainer Profile - Ashwin Ravi

Ashwin Ravi


Ashwin is a Presenter and Influencer for the right reasons. He can listen and adapt quick. Strong technical and non technical skills. Ready to help is his mantra. Data analysis, Team Strategic Player , Web Development and Python Programming are his biggest assets.