Python Mastery: The Complete Web Programming Course
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.46 GB | Duration: 5h 46m
Become a Python Expert: Comprehensive Course from Fundamentals to Advanced Programming Techniques and Best Practices.
[b]What you'll learn[/b]
Overview of the course structure and objectives
Understanding the Python shell and script mode
Understanding variables and data types
Working with numbers, strings, and booleans
Arithmetic, comparison, and logical operators
Conditional statements (if, elif, else)
Creating and manipulating lists
Creating and accessing dictionaries
Defining and calling functions
Anonymous functions and their use cases
Reading from and writing to files
File methods and context managers
Class Attributes and methods and objects
Understanding inheritance
Creating and using iterators
Function and class decorators
Using and creating context managers
Data Frames and data manipulation
[b]Requirements[/b]
No prior programming experience is required.
[b]Description[/b]
Unlock the full potential of Python for web development in this comprehensive course designed to take you from beginner to pro. Python Mastery: The Complete Web Programming Course is your one-stop guide to mastering the powerful combination of Python and modern web technologies. Whether you're new to coding or looking to expand your skills, this course will provide you with all the tools and knowledge needed to build dynamic, interactive, and professional-grade websites.You will dive deep into essential web frameworks, learn to build dynamic web applications, handle databases, and master front-end integration with HTML, CSS, and JavaScript. By the end, you'll be able to create robust, scalable, and professional-grade web applications.What you'll learn:Python fundamentals and advanced techniques for web developmentBuilding interactive web applications using Flask and DjangoFront-end technologies: HTML, CSS, and JavaScriptRESTful APIs and web servicesBy the end of this course, you'll have the skills and confidence to build fully functional, scalable web applications, and be ready to enter the world of web programming with Python. Whether your goal is to become a full-stack developer or simply add a valuable skill to your portfolio, this course will take you there.Enroll now and start your journey toward Python web programming mastery!
Overview
Section 1: Module 1: Introduction to Python
Lecture 1 Overview of the course structure and objectives
Lecture 2 Installing Python and setting up an IDE
Lecture 3 Understanding the Python shell and script mode
Lecture 4 Basic syntax and output
Section 2: Module 2: Basic Python Programming
Lecture 5 Understanding variables and data types
Lecture 6 Working with numbers, strings, and booleans
Lecture 7 Arithmetic, comparison, and logical operators
Lecture 8 Expressions and operator precedence
Lecture 9 Conditional statements (if, elif, else)
Lecture 10 Loops (for, while)
Lecture 11 Break and continue statements
Section 3: Module 3: Data Structures
Lecture 12 Creating and manipulating lists
Lecture 13 List comprehensions
Lecture 14 Understanding and using tuples
Lecture 15 Creating and accessing dictionaries
Lecture 16 Dictionary methods
Lecture 17 Understanding sets and their operations
Section 4: Module 4: Functions and Modules
Lecture 18 Defining and calling functions
Lecture 19 Function arguments and return values
Lecture 20 Anonymous functions and their use cases
Lecture 21 Importing and using modules
Lecture 22 Exploring Python standard libraries
Section 5: Module 5: File Handling
Lecture 23 Reading from and writing to files
Lecture 24 File methods and context managers
Lecture 25 Understanding exceptions
Lecture 26 Using try, except, finally
Section 6: Module 6: Object-Oriented Programming (OOP)
Lecture 27 Classes and objects
Lecture 28 Attributes and methods
Lecture 29 Understanding inheritance
Lecture 30 Overriding methods
Lecture 31 Implementing polymorphism
Lecture 32 Encapsulation principles
Section 7: Module 7: Advanced Python Concepts
Lecture 33 Creating and using iterators
Lecture 34 Understanding generators and yield
Lecture 35 Function and class decorators
Lecture 36 Using and creating context managers
Section 8: Module 8: Working with Libraries and Frameworks
Lecture 37 Introduction to NumPy arrays and operations
Lecture 38 DataFrames and data manipulation
Lecture 39 Creating plots and charts
Lecture 40 Building a simple web application
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