- Duration / Course length: Upto 40 Hours
- Timings: Enquire
Course details
Course OutlinePYTHON 3: THE BASICS
- A brief introduction to Python
- How does python script work?
- Structure of Python scripts
- Python is Interpreted
- Python vs other programming languages
- How Python is better?
- How to run Python interactively
- The community
- Where to find python help
- Python documentation
- Getting python and installation
- IDE for Python
- Standard library
- Interactive Mode
- Portable
- Extendable
- Databases
- GUI Programming
- Scalability
- Structured programming and OOP
- Python integration with other programming languages
- How to use variables
- Variable naming scheme
- Data types
- Python methods
- Operators
- Boolean and logical operators
- Augmented assignments
- Switching types
- Dictionaries
- Types in Python
- Where are Arrays in Python?
- Tuples
- Lists in Python
- OOP in Python
- If Else structure
- Conditional expressions
- Unconditional flow control
- Indentation
- Chained comparisons
- Sequence
- Collection
- Object types
- While loops
- For loops
- For loop incremental
- Enumerate
- How to handle strings in python
- Print function
- String concatenation
- String methods
- Double quote in String
- String formatting and testing
- String formatting aids
- Slicing a string
- String specific methods
- How to split and join strings
- Different type of python functions
- Function parameters
- Function default values
- Variadic functions
- Named parameters
- Enforcing named parameters
- Variables in functions
- Nested functions
- Function return object
- Variables in nested functions
- Lamdba functions
- Lambda as a sort key
- Lambda in
- What is Python collection?
- Different types of collections in Python
- Lists
- Using list as stacks
- Using list as queues
- Using list comprehensions
- Tuple and list slicing
- Extended iterable unpacking
- Adding items to a list
- Removing items by position
- Removing list items by content
- Sorting
- List methods
- Types
- Useful tuple operations
- Sets
- Set operators
- Python dictionaries
- Dictionary values
- Removing items from a dictionary
- Dictionary methods
- View objects
- Advanced list functions
- List comprehensions
- Set and dictionary comprehensions
- Regular expressions in Python
- Regular expression objects
- Regular expression substitution
- Regular expression split
- Special Syntax with Parentheses
- Grouping with Parentheses
- Repetition Cases
- Literal characters
- Character classes
- Regular Expression Patterns
- Modifiers
- Matching alternatives
- Anchors
- Class shortcuts
- Flags
- Repeat quantifiers
- Quantifiers
- Parentheses groups
- Back-references
- Global matches
- Reading and Writing Files
- Methods of File Objects
- Using source file
- New file objects
- Reading data from an existing file
- Reading options
- Filter programs – fileinput module
- Binary mode
- Writing to files from Python
- Standard streams
- More tricks
- Random access
- Database interface overview
- Example – Ms SQL from Python
- How to manipulate database in Python
- Python modules and packages
- Creating the Required Setup Files
- Creating the Distribution File
- Executing modules as scripts
- The Module Search Path
- Compiled Python files
- Multiple source files
- Importing a module
- Importing names
- Writing a module
- Module documentation
- Testing a module
- Directories as packages
- Python debugger
- Python profiler
- Distributing libraries using distutils
- Importing * From a Package
- Intra-package References
- Packages in Multiple Directories
- Introduction to Object-Oriented Programming in Python
- Names and Objects
- Scopes
- Classes and OOP
- Using objects
- Class definition syntax
- Methods within class
- Instance objects
- Instance variable
- Class methods
- Inheritance
- Abstraction
- Threads in Python
- Iterators
- Generators
- Syntax Errors
- Stderr
- Warnings
- How does exception work
- Exception handling
- Multiple exceptions
- Raising exception
- Exception arguments
- Finally block
- Order of execution
- The Python exception hierarchy
- Raise
- Assert
- User defined exception
- Defining clean-up actions
Job roles this course is suitable for:
Python Developer , Data Analyst , Machine Learning Engineer , Software Engineer , Web Developer , DevOps EngineerAbout Bright Future Training Institute
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