Introduction to Python

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Introduction to Python

Start Date: July 6, 2020, 6 p.m.

  • Session 1   Jul 06 6 p.m. - 9 p.m. US ET
  • Session 2   Jul 13 6 p.m. - 9 p.m. US ET
  • Session 3   Jul 20 6 p.m. - 9 p.m. US ET

Great and easy way to Start Learning Computer Programming, one of the most valuable skills

In our Introduction to Python Programming course, we start with the complete basics -- which are geared toward complete beginners to Python.

Our online live, instructor-led course emphasizes the foundations of Python coding for beginners in an engaging format that learners cannot find in online tutorials.

This groundwork helps students gain an understanding of how to write their own code competently and efficiently.

During this workshop, we explain, in detail, everything you need to start using Python. We discuss how Python memory management works and the behavior of the basic built-in data types in the programming language. We also cover variables and built-in functions. We also explain how to create user-defined Python functions, and how to extract and analyze data from text files with Python.

The once-a-week format of this class lets students practice their coding skills over the week and then ask more questions at the next class.

Students learn by solving real-life challenges that can strengthen their coding skills, which can be implemented after they leave the classroom.

What to expect: Our goal is to help you succeed in the course and with your new, practical, real-world coding skills.

We offer help from instructors who are happy to answer your coding questions even after the course ends.

Also, if you feel that you need to repeat the course to gain a better understanding of Python principles, you can do so at no charge.

Online Introduction to Python Syllabus

Session 1 6.00pm - 9.00pm
  • Variables
  • Numeric Data Types: Int & Float
  • Sequential Types: Str & List
  • If-Elif-Else Statements
  • Practical Exercises
Session 2 6.00pm - 9.00pm
  • Creating Custom Functions
  • Definite Loops: for loops
  • Data Types: Tuples
  • Indexing Data Types
  • Slicing Data Types
  • Practical Exercises
Session 3 6.00pm - 9.00pm
  • Data Types: Dictionary
  • Reading txt files with Python
  • Writing txt files with Python
  • Analyzing txt file content
  • Practical Exercises

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