Python is one of the top programming languages in the world and continues to grow. From the basics this course provides a solid understanding of programming using Python, with practical exercises and examples.
1 starting date
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Starting date:
- Duration: 5 days
- Time: to
- Fees: £595 (no VAT)
- Occurs: Monday, Tuesday, Wednesday, Thursday and Friday
- Location: Online
- Booking deadline:
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Course overview
Learn to think like a programmer with this hands-on and highly popular short course in Python programming. You will apply your knowledge to undertake practical exercises, with the support of an experienced tutor to guide you and answer questions.
By the end of the Python course for beginners, you will be able to
- Understand the fundamental features of the Python programming language
- Write procedural, object oriented and functional programs in Python.
This course is a great way to progress your career in computer programming.
Who is it for?
Suitable for beginners to programming - and Python - this course is a great way to develop skills to further your career in fields such as data analytics, finance and web development.
Find out more about our Programming at City, University of London courses
Timetable
The Introduction to Programming with Python short course is offered in various formats to fit your availability:
- Weekly evening classes – taught one evening a week for 10 consecutive weeks, allowing you to continue in full-time employment
- Saturday classes – taught over five consecutive Saturdays, designed for weekend learners
- Summer School – taught intensively over one week in the summer, ideal for learning Python quickly or for staff training
Benefits
- Delivered by industry professionals
- Taught online to small groups
- Awarded a City, University of London certificate on completion
What will I learn?
- Think like a programmer
- Python overview and the basic language elements: Introduction to Python. Variables. Loops. Main method. Conditional structures. Data structure
- Debugging in Python (using pdb, Pycharm). How to read a program
- File manipulation: Reading and writing files
- Object Oriented programming in Python: classes, objects, inheritance, polymorphism, encapsulation
- How to build a modular Python program
- Introduction to the Python standard library
- Testing in Python. Presentation of doctest and unittest
- Error handling: exceptions
By the end of the course, you will be able to
- understand the fundamental features of the Python programming language,
- write procedural, object oriented and functional programs in Python
Assessment and certificates
You will be awarded an official City, University of London certificate if you attend over 70 per cent of the classes. The course is not formally accredited.
Assessment
Informal assessment will take place through group discussion, class room activities, and question and answer sessions as guided by your tutor.
Eligibility
Computer literacy.
English requirements
Applicants must be proficient in written and spoken English.
Tutors
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Philip de Grouchy
Dr. de Grouchy completed his Ph.D. in Physics at Imperial College London in 2013. His thesis described emerging experimental and analytical techniques for manipulating matter at very high temperatures.
Before joining the Short Courses team, Philip held research and teaching positions at Imperial, the University of Hong Kong, and Cornell, where he lectured for the Electrical and Computer Engineering department.
In addition to his teaching expertise, Philip also brings experience as a data analyst to the Python course: he has assisted start-ups, SME’s and government agencies on renewable energy, aerospace and defence projects
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Konstantinos Karoudis
Konstantinos Karoudis has a Diploma in Electrical and Computer Engineering from Democritus University of Thrace, Greece, and an MSc in Information Technology from University of Stuttgart, Germany. He has worked on many developer roles for companies such as IBM Germany Research and Development Lab and BMW Research and Innovation Centre.
Konstantinos is currently working towards a PhD at London Knowledge Lab, Birkbeck, University of London, where he is also part of the ‘LIBE: Supporting Lifelong Learning with Enquiry-Based Education’ project developing a personalisation engine that enhances learners’ experience.
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Kosmas Kosmopoulos
Kosmas Kosmopoulos has broad experience in teaching a range of computing-related courses, from Business Information Systems to web development.
Kosmas is currently teaching at both undergraduate and postgraduate level in a number of institutions including City, University of London, Huron University, Middlesex University and the University of Westminster.
Kosmas's research interests are in the areas of Sensor Networks, Global Computing, Mobile Learning and Mobile Commerce.
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Spyridon Chouliaras
Spyridon Chouliaras holds a B.Sc. in Mathematics from University of Ioannina, Greece, and an M.Sc. in Data Science from Birkbeck, University of London. He has many years of experience in teaching machine learning, cloud computing, data analytics and database management courses on both undergraduate and postgraduate levels in a number of institutions including City, University of London.
Spyridon is currently working towards a Ph.D. in the Department of Computer Science and Information Systems, Birkbeck, University of London. His research focuses on cloud computing, auto-scaling, resource provisioning and anomaly detection, and his everyday tasks include leveraging machine learning and cloud computing to solve real-world problems.
