Python Class for professional | Computer Science | Malaysia
1) Class 1 (14 Jan 14) :
a) Class Summary:
-
Programming Pitfalls: Many rush to code without proper design, leading to fast but maintenance-heavy solutions.
-
Consider the Context: Rushed coding is common in certain environments like military companies, but in international companies, thoughtful design is crucial.
-
Education Example: Illustration of summing numbers (e.g., 1 to 200) efficiently, emphasizing the importance of finding patterns for problem-solving.
-
Analytical Thinking: The ability to break down problems, identify patterns, and create equations is key in programming.
-
Learning Process: Understanding the learning curve and the importance of analytical thinking in software development.
-
Hands-on Coding: Introduction to basic Python coding, starting with print statements and variable assignments.
-
Syntax Errors: Highlighting how computers detect syntax errors and require precise code patterns.
-
Variable Concept: Introduction to variables, using the example of assigning a value (e.g., X = 200) to a variable.
-
Memory and RAM: Basic explanation of how computers use memory (RAM) to store and retrieve information.
-
Continuous Learning: Emphasizing the need for a gradual learning approach and the importance of analyzing information in programming.
-
Session Update: Note about session duration and the need to rejoin using the same link.
- Introduction to Programming: Delved into the fundamentals of programming, distinguishing between algorithms and programs.
- Variables in Python: Explored the concept of variables, highlighting their role in making programs dynamic and adaptable.
- Pair Programming: Discussed the concept of pair programming, its benefits in collaborative coding, and its relevance in international companies.
- Interpreter vs. Compiler: Differentiated between interpreters and compilers, emphasizing how Python uses an interpreter for code translation.
- Algorithm vs. Program: Clarified the distinction between algorithms and programs, focusing on their expression and purpose.
- Smart Coding with Variables: Demonstrated the efficiency of using variables in Python, enabling easy modifications and enhancing code readability.
- 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_Slides, Python L2_Slides
e) Class Code: python
f) Excercises : here
g) HomeWork Solutions Posting (FB) : here
.png)
.png)
