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Intro to Python for Data Science

03/03 Learning Python

Python co-learning session @Coderbunker!

We will be conducting a python co-learning session this Saturday. Our experienced data scientists Mohammed and Raynard will guide co-learners through the basics of python in an interactive learning session.

Why Python?

  • Python is a general purpose language that can be used to build just about anything.
  • It is great for web development, data analysis, A.I… you name it!
  • Many developers have used it to build productivity tools, games, and desktop apps.
  • As a dynamically typed language, Python is very flexible. With no hard rules on how to build features, it provides the user with a high degree of flexibility when it comes to problem solving.
  • On top of that, Python is a beginner-friendly language which is easy to learn. In 2014, it replaced Java as the most popular introductory teaching language at top US universities.

Lesson Objective

Familiarize yourself with generators and decorators. Be introduced to the course content and find out more about the field of data science.

Practical Real World applications

  • Many of the co-learners are curious about how python can help them in their day to day lives.
  • There are countless well-documented Python success stories. These include:
  • United Space Alliance (USA), NASA's main shuttle support contractor, had a mandate to provide software that meets all criteria. Their experience with Python told them NASA's demands were within reach. Less than a year later, USA was nearing deployment of a Workflow Automation System (WAS) that meets or exceeds all of NASA's specifications.
  •, a service of Intellovations, is in the business of rating the accuracy of weather reports from companies such as Accuweather,, and The Weather Channel. Over 36,000 weather forecasts are collected every day for over 800 U.S. cities, and later compared with actual climatological data. These comparisions are used by meteorologists to improve their weather forecasts, and to compare their forecasts with others. They are also used by consumers to better understand the probable accuracy of a forecast. is a 100% pure Python solution.
  • For more python success stories, go to


Mohammed Ben-Thaier: A software developer with 5 years experience. At ease with python and C++, he also has a mathematics background. Happy to help with programming and machine learning.

Raynard: A deep learning practitioner. Algorithm engineer from a major internet company. Working with computer vision, recommender engine and NLP sentiment analysis. Enjoy deploying latest papers and theories in these area.


Don't forget to bring your computer!


March 3rd, Saturday morning


10:30 Python lesson
11:30 Q&A
12:00 Lunch
13:00 Exercise practice



Join us

Scan QR code to join the conversation.

Want to find out more about the course? Go to

About Coderbunker

CoderBunker is an open community of software developers in a shared physical space focused on growth and success. We help talented developers grow into successful freelancers. We also assist companies in getting the right resource at the right price and time.

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