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Modules About Modules
INTRODUCTION TO PYTHON Python Overview, History of Python, Python Features, Python Versions, Getting Python, Installing Python, Executing Python from Command Line, IDLE, Setting up PATH, Environment Variables
PYTHON BASIC SYNTAX First Python Program, Python Identifiers, Reserved words, Lines and Indentation, Dynamic Typing, Multi-Line Statements, Quotation in Python, Comments in Python, Multiple Statements on Single Line v
CONDITIONALS if, else, elif
LOOPS While loop, For loop, Nested loop
LOOPS CONTROL STATEMENTS break and Continue Statements
FUNCTIONS Defining a function, Calling a function, Parameters(arguments), Functional Arguments, The return Statement, Global vs. Local variable
MODULES Introduction To Module, Executing Modules as Scripts, Standard Modules, The dir() Function, The globals() and locals() Function, The reload Function
PACKAGES The import Statement, The from... Statement, The from...import* Statement, Namespaces and Scoping
NETWORKING Introduction to Socket, Server Socket Methods, Client Socket Methods
DJANGO FRAMEWORK (Specialization Module)
INTRODUCTION TO DJANGO Web Framework, The MVC Design Pattern, Django’s History
GETTING STARTED Installing Python, Installing Django, Setting Up a Database, Using Django with PostgreSQL, Using Django with SQLite 3, Using Django with MySQL, Using Django Without a Database, The Development Server
DYNAMIC WEB PAGES Dynamic Content, Mapping URLs to Views, How Django Processes a Request, 404 Errors, Introduction to Html & CSS
DJANGO TEMPLATE SYSTEM Creating Template Objects, Rendering a Template, Basic Template Tags and Filters, Template Loading
INTERACTING WITH A DATABASE: MODELS The MTV Development Pattern, Installing the Model, Basic Data Access, Groups
CACHING Setting Up the Cache, The Per-Site Cache, The Per-View Cache, The Low-Level Cache API, Upstream Caches, Order of MIDDLEWARE_CLASSES
MIDDLEWARE Initializer: __init__(self), RequestPreprocessor: process_request (self, request), View Preprocessor: process_view (self, request, view, args, kwargs), Response Postprocessor: process_response(self, request, response), Exception Postprocessor: process_exception(self, request, exception), Built-in Middleware
NETWORK PROGRAMMING IN PYTHON Introduction, Introduction to Client/Server Networking, UDP, TCP, Socket Names and DNS, Network Data and Network Errors, TLS and SSL, Server Architecture
PYTHON OBJECT TYPES Assigning Values to Variables, Multiple Assignment, Standard Data Types, Python Numbers, Python Strings, Python Lists, Python Tuples, Python Dictionary, Python Files, Data Type Conversion
PYTHON NUMBERS Number Type Conversion, Mathematical Functions, Trigonometric Functions
FILES I/O InputFunction, Open Function, file object Attributes, close() Method, write() Method, read() Method, rename() and remove() Method
EXCEPTION HANDLING Syntax Errors, Introduction to Exception, Handling Exception
OOPS CONCEPT Class and Objects, Encapsulation, Inheritance, Polymorphism, Data Abstraction
DATABASE ACCESS Introduction to DataBase, Database Connection, CRUD Operations, Performing Transactions, COMMIT Operation, ROLLBACK Operation, Disconnecting Database, Handling Errors, Selecting Objects, Slicing Data, Making Changes to a Database Schema
DJANGO ADMINISTRATION SITE Activating the Admin Interface, Users, Groups, and Permissions
GENERIC VIEWS Using Generic Views, Generic Views of Objects, Extending Generic Views, Complex Filtering with Wrapper Functions
GENERATING NON-HTML CONTENTMODE The basics: views and MIME-types, Producing CSV, Generating PDFs, Installing ReportLab, Writing Your View, The Syndication Feed Framework, The Sitemap Framework
SESSIONS, USERS, AND REGISTRATION Cookies, Django’s Session Framework, Other Session Settings, Users and Authentication
PYTHON FOR DATA ANALYST Preliminaries v Introductory Examples, IPython: An Interactive Computing and Development Environment, NumPy Basics: Arrays and Vectorized Computation, Getting Started with pandas, Data Loading, Storage, File Formats, Data Wrangling: Clean, Transform, Merge, Reshape, Plotting and Visualization, Data Aggregation, Group Operations, Time Series, Financial and Economic Data Applications, Advanced NumPy NETWORK
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