Python training-course-content
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The document outlines a comprehensive Python training course covering various topics such as introduction to Python, using the interpreter, data types, functions, modules, object-oriented programming, exceptions, built-in tools, GUI programming, databases, text processing, internet scripting, and advanced topics. Each section includes explanations, practical lab sessions, and optional case studies to reinforce learning. Contact information and promotional details for booking a demo session are also provided.
Python training-course-content
- 1. PYTHON TRAINING COURSE CONTENT SECTION 1: INTRODUCTION ➢ What’s python? ➢ Why do people use python? ➢ Some quotable quotes ➢ A python history lesson ➢ Advocacy news ➢ What’s python good for? ➢ What’s python not good for? ➢ The compulsory features list ➢ Python portability ➢ On apples and oranges ➢ Summary: why python? SECTION 2: USING THE INTERPRETER AND TEXT EDITOR ➢ Introduction to Sublime & Pycharm ➢ Config Pycharm for Python Project ➢ How Python Runs Programs ➢ How You Run Programs ➢ Configuration Details ➢ Module Files: A First Look ➢ The Idle Interface ➢ Other Python Ides ➢ Time To Start Coding ➢ Lab Session 1 SECTION 3: TYPES AND OPERATORS ➢ A First Pass ➢ The ‘Big Picture’ ➢ Numbers ➢ Dynamic Typing Interlude ➢ Strings ➢ Lists ➢ Dictionaries ➢ Tuples ➢ General Object Properties ➢ Mutable vs Immutable
- 2. ➢ Summary: Python’s Type Hierarchies ➢ Built-In Type Gotchas ➢ Lab Session 2 SECTION 4: BASIC STATEMENTS ➢ Introduction to Reserved Keywords ➢ General Syntax Concepts ➢ Expressions ➢ Print ➢ If Selections ➢ Python Syntax Rules ➢ Documentation Sources Interlude ➢ Truth Tests ➢ While Loops ➢ Break, Continue, Pass, And The Loop Else ➢ For Loops ➢ Comprehensions And Iterations ➢ Loop Coding Techniques ➢ Comprehensive Loop Examples ➢ Basic Coding Gotchas ➢ Preview: Program Unit Statements ➢ Lab Session 3 SECTION 5: FUNCTIONS ➢ Function Basics ➢ Scope Rules In Functions ➢ More On “Global” (And “Nonlocal”) ➢ More On “Return” ➢ More On Argument Passing ➢ Special Argument Matching Modes ➢ Odds And Ends ➢ Generator Expressions And Functions ➢ Function Design Concepts ➢ Functions Are Objects: Indirect Calls ➢ Function Gotchas ➢ Optional Case Study: Set Functions ➢ Lab Session 4 SECTION 6: MODULES ➢ Module Basics ➢ Module Files Are A Namespace ➢ Name Qualification ➢ Import Variants ➢ Reloading Modules
- 3. ➢ Package Imports ➢ Odds And Ends ➢ Module Design Concepts ➢ Modules Are Objects: Metaprograms ➢ Module Gotchas ➢ Optional Case Study: A Shared Stack Module ➢ Lab Session 5 SECTION 7: GETTING STARED WITH DOCKER ➢ Oop: The Big Picture ➢ Class Basics ➢ A More Realistic Example ➢ Using The Class Statement ➢ Using Class Methods ➢ Customization Via Inheritance ➢ Specializing Inherited Methods ➢ Operator Overloading In Classes ➢ Namespace Rules: The Whole Story ➢ Oop Examples: Inheritance And Composition ➢ Classes And Methods Are Objects ➢ Odds And Ends ➢ New Style Classes ➢ Class Gotchas ➢ Optional Case Study: A Set Class ➢ Summary: Oop In Python ➢ Lab Session 6 SECTION 8: EXCEPTIONS ➢ Exception Basics ➢ First Examples ➢ Exception Idioms ➢ Exception Catching Modes ➢ Class Exceptions ➢ Exception Gotchas ➢ Lab Session 7 SECTION 9: BUILT-IN TOOLS OVERVIEW ➢ The Secret Handshake ➢ Debugging Options ➢ Inspecting Name-Spaces
- 4. ➢ Dynamic Coding Tools ➢ Timing And Profiling Python Programs ➢ File Types And Packaging Options ➢ Development Tools For Larger Projects ➢ Summary: Python Tool-Set Layers ➢ Lab Session 7 Continued SECTION 10: SYSTEM INTERFACES ➢ System Modules Overview ➢ Running Shell Commands ➢ Arguments, Streams, Shell Variables ➢ File Tools ➢ Directory Tools ➢ Forking Processes ➢ Thread Modules And Queues ➢ The Subprocess And Multiprocessing Modules ➢ Ipc Tools: Pipes, Sockets, Signals ➢ Fork Versis Spawnv ➢ Larger Examples ➢ Lab Session 8 SECTION 11 : GUI PROGRAMMING ➢ Python Gui Options ➢ Introduction of Tkinter ➢ The Tkinter ‘Hello World’ Program ➢ Adding Buttons, Frames, And Callbacks ➢ Getting Input From A User ➢ Assorted Tkinter Details ➢ Building Guis By Subclassing Frames ➢ Reusing Guis By Subclassing And Attaching ➢ Advanced Widgets: Images, Grids, And More ➢ Designing UI using QT4 Designer ➢ Introduction to PySide2 ➢ Converting UI into Application Using PySide ➢ Larger Examples ➢ Tkinter Odds And Ends ➢ Lab Session 8 Continued SECTION 12: DATABASES AND PERSISTENCE ➢ Databases and Persistence ➢ Object Persistence: Shelves ➢ Storing Class Instances ➢ Pickling Objects Without Shelves
- 5. ➢ Using Simple Dbm Files ➢ Shelve Gotchas ➢ Zodb Object-Oriented Database ➢ Python Sql Database Api ➢ Persistence Odds And Ends ➢ Lab Session 9 SECTION 13: TEXT PROCESSING ➢ String Objects: Review ➢ Splitting And Joining Strings ➢ Regular Expressions ➢ Parsing Languages ➢ Regular Expressions ➢ Lab Session 10 SECTION 14: INTERNET SCRIPTING ➢ Using Sockets In Python ➢ The Ftp Module ➢ Email Processing ➢ Other Client-Side Tools ➢ Building Web Sites With Python ➢ Writing Server-Side Cgi Scripts ➢ Jython: Python For Java Systems ➢ Active Scripting And Com ➢ Other Internet-Related Tools ➢ Lab Session 10 SECTION 15: ADVANCED TOPICS ➢ Unicode Text And Binary Data ➢ Managed Attributes ➢ Decorators ➢ Metaclasses ➢ Context Managers ➢ Python 3.X Changes ➢ Lab Session 13 LABORATORY EXERCISES ➢ Lab 1: Using The Interpreter ➢ Lab 2: Types And Operators ➢ Lab 3: Basic Statements ➢ Lab 4: Functions ➢ Lab 5: Modules ➢ Lab 6: Classes ➢ Lab 7: Exceptions And Built-In Tools
- 6. ➢ Lab 8: System Interfaces And Guis ➢ Lab 9: Persistence ➢ Lab 10: Text Processing And The Internet ➢ Lab 11: Decorators And Metaclasses Contact Info +91 9884412301 | +91 9884312236 Know more about Python info@credosystemz.com New # 30, Old # 16A, Third Main Road, Rajalakshmi Nagar, Velachery, Chennai (Opp. to MuruganKalyanaMandapam) BOOK A FREE DEMO