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Python Class for professional | Computer Science | Malaysia

Python Class for professional | Computer Science | Malaysia

1) Class 1 (14 Jan 14) :

      a) Class Summary: 

  1. Programming Pitfalls: Many rush to code without proper design, leading to fast but maintenance-heavy solutions.

  2. Consider the Context: Rushed coding is common in certain environments like military companies, but in international companies, thoughtful design is crucial.

  3. Education Example: Illustration of summing numbers (e.g., 1 to 200) efficiently, emphasizing the importance of finding patterns for problem-solving.

  4. Analytical Thinking: The ability to break down problems, identify patterns, and create equations is key in programming.

  5. Learning Process: Understanding the learning curve and the importance of analytical thinking in software development.

  6. Hands-on Coding: Introduction to basic Python coding, starting with print statements and variable assignments.

  7. Syntax Errors: Highlighting how computers detect syntax errors and require precise code patterns.

  8. Variable Concept: Introduction to variables, using the example of assigning a value (e.g., X = 200) to a variable.

  9. Memory and RAM: Basic explanation of how computers use memory (RAM) to store and retrieve information.

  10. Continuous Learning: Emphasizing the need for a gradual learning approach and the importance of analyzing information in programming.

  11. Session Update: Note about session duration and the need to rejoin using the same link.

  12. Introduction to Programming: Delved into the fundamentals of programming, distinguishing between algorithms and programs.
  13. Variables in Python: Explored the concept of variables, highlighting their role in making programs dynamic and adaptable.
  14. Pair Programming: Discussed the concept of pair programming, its benefits in collaborative coding, and its relevance in international companies.
  15. Interpreter vs. Compiler: Differentiated between interpreters and compilers, emphasizing how Python uses an interpreter for code translation.
  16. Algorithm vs. Program: Clarified the distinction between algorithms and programs, focusing on their expression and purpose.
  17. Smart Coding with Variables: Demonstrated the efficiency of using variables in Python, enabling easy modifications and enhancing code readability.
  18. Homework and Resources: Provided information on accessing class recordings, slides, and homework exercises for continuous learning.

      b) Video ( Saturday ): 
                      
Part 1 (Mastering Python Programming: Unveiling the Art of Analytical Thinking and Efficient Coding Practices), 

                      Part 2 (Mastering Python Basics: Variables, Algorithms, and Smart Coding Strategies) 

                       

      d) Files:  Main Slides , Python L1_SlidesPython L2_Slides 

      e) Class Code: python 

      f) Excercises : here 

      g) HomeWork Solutions Posting (FB) :  here  

 

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