Coding chatbots – Big Data Club hosts the first Python workshop


Stephane was trying to understand “if” operator in the multitude of codes written on “Microsoft Azure” notebook online. His eyes were juggling between the large screen near the teaching platform and his own laptop screen scribbled with Python codes. Stephane, a Masters student of Management from Madagascar, had come to attend Python programming workshop on a Saturday morning. This workshop was conducted by Big Data and AI Club and they had invited Adilet Gaparov, who pursues a Masters in Big Data and Business Analytics to host and teach to code in Python language. Adilet had prior experience of writing Python codes for organisations on a freelancing basis and volunteered to share his knowledge.

Hosted by the Big Data Club on Saturday at 11:00 am, the Python workshop event lasted three hours long with breaks of 10 minutes after each hours, summing to a total of three sessions. First hour was spent on trying to understand on how the attendees write their names and then print a specific alphabet in the output as well as to perform basic mathematical operations. The second session dealt with the use of specific operators like “if”, “while”, “def” etc. These two sessions prepared the participants to move onto and develop higher-order thinking skills in Python programming. The objective of the final session was to create a chat-bot with the interactive capacity of reasonable aptitude.

Although Adilet was leading the session, Daniel, the coordinator of Big Data Club was moving around the room to assist those participants, who were struggling to understand and write the code. The participants included a mix of undergraduates and postgraduates from MIM to MBA. The sessions were based on understanding through a hands-on learning experience.

For all those who attended the first event in a series of two sessions can expect to receive an email invite for the final session, scheduled to be held likely on 26th October in room 502 in MM31. The first event focused more on the programming part of data analytics, while the second event is expected to focus more on the statistics and mathematical concepts. The participants were jubilant to learn coding skills after three hours of grueling hard work and were appreciative of the host, who volunteered to share his contact details lest somebody finds themselves facing issues in understanding things learnt during this session.

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