IT architecture and system design fundamentals, basic Python:

IT architecture and system design fundamentals, basic Python:

This 4-day intensive course walks you through that discovery by going over the entire life cycle of a multi-tier system and its related software project. You'll see what happens before any development takes place, and what impact the decisions and designs made at each step have on the development process. The development of the entire project, over the course of several iterations based on real-world iterations, will be executed, sometimes starting from nothing, in one of the fastest growing languages in the world—Python.

Learning Outcome

By the end of this course, the learner shall have the following skills:

• Understand what happens over the course of a system's life (SDLC)
• Establish what to expect from the pre-development life cycle steps.
• Find out how the development-specific phases of the SDLC affect development.
• Identify the existence of project-independent best practices and how to use them.
• Find out how to design and implement a high-performance computing process.
• Basic python programming
• Understand the basic syntax structures.
• Get updated on recent syntax changes in python 3.8 and 3.9 respectively.
• Advanced Data handling in python.
• Working with external libraries in python.
• Working with files and encoding.
• Understand different forms of data acquisition.
• Linux basics
• Remote queries
• SSH

Prerequisites

• High speed internet connection
• Ability to use a computer
• Ability to use the internet
• Web camera (for remote learning only)
• Microphone (for remote learning only)
• Conferencing software (Zoom / Webex / MS Teams)
• Manage files and understand basic file systems in the computer
• Ability to communicate in the English language
• Ability to connect to external servers
• Full admin / root access

Course Outline

Programming versus Software Engineering.

1. Programming with Python.
   1. What Is Algorithm
   2. What Is Programming
   3. What Is Program
   4. Machine Language
   5. Programming Language
   6. What Is Translator
   7. Brief History of Python
   8. Python Versions
   9. Installing Python
   10. IDEs
   11. Environment Variables
   12. Python Documentation
   13. Hello world with python
   14. Modes of Programming
   15. What Is Colab Notebook
   16. Why Colab Notebook Is Important
   17. Installing Colab Notebook
   18. Main Components of Colab Notebook
   19. Modes
   20. Exporting Notebook Documents
   21. Identifiers
   22. Reserved Words
   23. Lines and Indentation
   24. Comments
   25. Numbers
   26. Python Lists
   27. Python Tuples
   28. Python Dictionaries
   29. Python Sets
   30. Copying
   31. Python Strings
   32. String formatting
   33. Regular Expressions
   34. Arithmetic Operators
   35. Comparison (Relational) Operators
   36. Assignment Operators
   37. Logical Operators
   38. Membership Operators
   39. Operators Precedence
   40. Decision Making
   41. The if Statement
   42. The if else Statement
   43. For Loop
   44. While Loop
   45. Break And Continue
   46. Defining Your Own Functions
   47. Parameters
   48. Function Documentation
   49. Passing Collections to a Function
   50. Variable Number of Arguments
   51. Scope
   52. Map
   53. Filter
   54. Lambda
   55. What Are Modules
   56. Importing Modules
   57. Aliasing
   58. Importing Set Of Element From A Module
   59. Namespace
   60. What Are Packages
   61. dir function
   62. help function
   63. What Is Exception
   64. Exception Types
   65. Try Except Component
   66. Handling General Exception
   67. Handling Specific Exception
   68. Raise
   69. Access Modes
   70. Writing Data to a File
   71. Reading Data From a File
   72. Read Functions
   73. PDF reading
   74. XML files
   75. What is OOP
   76. Why OOP Is Important
   77. Classes
   78. Attributes
   79. Methods
   80. Constructor
   81. Inheritance
   82. Polymorphism
   83. Static class
2. The Software Development LifeCycle(SDLC).
   1. The SDLC Overview.
   2. Pre-development phases of SDLC.
   3. Specific phases of SDLC.
   4. Post-development phases of the SDLC.
3. System Modeling.
   1. System Modeling Overview.
   2. Software Architecture.
   3. Use Cases.
   4. Data Structure and Flow.
   5. Interprocess Communication.
   6. System Scope and Scale.
4. Methodologies, Paradigms, and Practices.
   1. Methodologies, Paradigms, and Practices Overview.
   2. Process Methodologies.
   3. Development Paradigms.
   4. Development Practices.
5. Assessment.