Python Training.pdf
- 1. Python Training Spiritsofts is the best Training Institutes to expand your skills and knowledge. We Provides the best learning Environment. Obtain all the training by our expert professional which is having working experience from Top IT companies.The Training in is every thing we explained based on real time scenarios, it works which we do in companies. Experts Training sessions will absolutely help you to get in-depth knowledge on the subject. Python Training Course Content Introduction to Python 3 ● Origin and Goals of Python ● Overview of Python Features ● Getting and Installing Python ● Accessing Python Documentation: Python Enhancement ● Proposals (PEP) ● Python’s Strengths ● Using Python with Other Programming Languages Language Fundamentals ● Python’s Lexical Analyzer ● Using Whitespace to Structure Programs ● Identifiers and Keywords
- 2. ● Python’s Execution Model ● Naming Objects and Binding ● Python’s Data Model ● Immutable and Mutable Objects ● Values ● Types ● Creating and Using Variables Expressions ● Unary and Binary Arithmetic Operations ● Comparison and Boolean Operations ● Conditional Expressions ● Lambda Expressions ● Order of Operations and Operator Evaluation ● Expression Lists ● Assignment Operations Using the String Object ● Using ASCII and Unicode Strings ● Manipulating Strings with String Methods ● Using the format() Function to Format Strings ● Using Escape Sequences
- 3. ● Working with Raw Strings Arrays, Collections and Dictionaries ● Sequenced Data Structures ● Arrays ● Collections ● Dictionaries ● Creating and Accessing Lists ● Manipulating Lists ● Creating and Accessing Tuples ● Understanding the Differences Between Lists and Tuples ● Using Dictionaries to Create Data Records ● Manipulating Dictionaries Using Dictionary Methods ● Creating Sets ● Performing Set Operations ● Union ● Intersect ● Difference ● Differences Between Sets and Dictionaries ● Using Generators to Return Iterators Object Oriented Programming Concepts
- 4. ● The Object Oriented Programming Paradigm ● Encapsulating Information ● Classes vs. Instances of Objects ● Built-in Class Attributes ● Implementing Class Inheritance ● Using Objects in Code Data Management ● Embedding SQLite Databases in Applications ● Best Practices for Data Management ● Storing Data in Local Databases ● Discussing and Understanding the DB API ● Understanding and Using Common SQL Statements ● Connecting to a SQLite Database ● Using Cursors to interact with Data from a Database ● Implementing Error Handling with Database Connections Using Python ● Executing Python Programs from the Command Line ● Python Command Line Options ● Environment Variables that Influence Python ● Creating Python GUI Applications
- 5. ● Standalone vs. Web-Enabled Interfaces ● The Python Standard Library Flow Control Constructs ● if/elif/else Statements ● Creating Loops with while and for ● Understanding Iterators ● Returning Values with return Statements ● Loop Modification with break and continue ● Returning Generator Iterators with the yield Statement ● Retrieving Iterators with next() Exception Handling ● Types of Python Exceptions ● Handling Exceptions with try/except/finally ● Triggering Exceptions with raise ● Defining New Exception Types ● Implementing Exception Handling in Functions, Methods and Classes ● Working with the Regular Expression Error Exception Organizing Code ● Defining Functions ● Calling Functions
- 6. ● Creating Anonymous Functions ● Altering Function Functionality with Decorator Functions ● Creating Classes with the class Statement ● Creating Objects as Class Instances ● Using Preexisting Classes as the Basis of a New Class ● Using Modules to Group Related Functions, Classes and Variables ● Locating and Importing Modules ● Using Packages to Group Modules Together Working with Arguments ● Passing Arguments to Functions by Reference and by Value ● Defining Functions with Required Arguments ● Defining Functions with Default Arguments ● Defining Flexible Functions that Take Variable Length Arguments Regular Expressions ● Regular Expression Syntax ● Using Regular Expressions in Python ● Altering Regular Expression Processing with Regular Expression Modifiers ● Using Regular Expression Operators ● Scanning Through Strings Using the search() and match() Methods ● Creating Reusable Patterns by Using the compile() Method
- 7. I/O Handling ● Sending Output to STDOUT Using the print() Method ● Reading Input with the input() Method ● Creating File Objects with the open() Method ● Controlling File Access Modes ● Working with File Object Attributes ● Closing File Objects with the close() Method ● Reading and Writing to File Objects with read() and write() ● Using File Processing Functions from the OS Module