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Python And Flask Demonstrations Practice Course
Rating: 4.4 out of 5(1,662 ratings)
232,682 students

Python And Flask Demonstrations Practice Course

This course is a Great Practice to both fundamental python programming concepts and the Flask Framework by demonstration
Created byHorizon Tech
Last updated 9/2020
English

What you'll learn

  • Write scripts for general productivity tasks Read and comprehend Python code Gain knowledge in regard to general programming concepts
  • Values and Data Types, Operators and Operands, Function Calls Implementation All Demonstrations
  • Use variables to store, retrieve and calculate information Demonstrations
  • Variables, Data Types, Type Conversion, Functions, Statements and Expressions All Demonstrations
  • Flask Framework Hello world, Overview Demonstration
  • Flask Framework SQLite Demonstration
  • Flask Framework SQL Alchemy and WTF Extension Demonstrations

Course content

2 sections • 62 lectures • 8h 4m total length

  • Tutorial 1-Installing Anaconda3:43
  • Tutorial 2-Python Overview(Demonstration)13:46

    Explore Python overview as a high-level, object-oriented language with easy syntax, and learn immediate mode, script mode, and development environments like Jupiter Lab.

  • Tutorial 3-Python Variables And Constants3:23

    Explore defining constants and variables in Python, using uppercase names for constants, dynamic typing, and reassignment. Learn multiple assignments and printing to observe types and values.

  • Tutorial 4-Python Class And Objects(demonstration)4:22

    Define a complex number class with a constructor, real and imaginary parts, and a display method to print them; illustrate creating objects and deleting attributes.

  • Tutorial 5-Python Array Implementation8:50
  • Tutorial 6-Python Keywords And Identifiers21:38
  • Tutorial 7-Python Tuples12:58
  • Tutorial 8-Python sets13:03
  • Tutorial 9-Python Different Modules1:32
  • Tutorial 10-Python Directory And File management4:32
  • Tutorial 11-Python Dictionary7:33
  • Tutorial 12-Python Strings14:25

    Define strings in Python with single, double, and triple quotes, including multiline strings. Explore indexing, slicing, immutability, concatenation, formatting, escapes, and methods like find, replace, lower, and upper.

  • Tutorial 13-Python Data Type Conversion3:24
  • Tutorial 14 -Python Numbers13:43
  • Tutorial 15-Python Namespace and scope.4:51
  • Tutorial 16-Python global local nonlocal4:53

    Explore Python global, local, and nonlocal variables through practical examples that show scope, the global keyword, and how nonlocal updates inner and outer bindings.

  • Tutorial 17-Python Global Keywords2:31
  • Tutorial 18-Python Iterators8:42
  • Tutorial 19-Python Iterations Using for3:20
  • Tutorial 20-Python Inheritance6:22
  • Tutorial 21-Python Multiple Inheritance3:14
  • Tutorial 22-Python Function Arguments7:20

    Explore how Python functions handle input parameters, including default values, keyword arguments, and variable argument lists with *args, and how returning or printing results works.

  • Tutorial 23-Python Functions10:43
  • Tutorial 24-Python break statement2:27
  • Tutorial 25-Python continue statement1:47
  • Tutorial 26-Python Errors And Exceptions6:47
  • Tutorial 27-Python Try, Except And Finally5:20
  • Tutorial 28-Python User Defined Exception4:29
  • Tutorial 29-Python OOP Approach12:37
  • Tutorial 30-Python Nested Dictionary Implementation.5:42
  • Tutorial 31-Python Operator Overloading5:02
  • Tutorial 32-Python Statements And Comments4:06
  • Tutorial 33-Python Pass Statement1:10
  • Tutorial 34-Python Generators.5:51
  • Tutorial 35-Python Decorators5:30
  • Tutorial 36-Python While Loop16:37
  • Tutorial 37-Python use of If,elif,else5:26
  • Tutorial 38-Python Matrix Implementation5:49
  • Tutorial 39-Python Regular Expressions22:14
  • Tutorial 40-Python List Comprehension7:45
  • Tutorial 41-Python Recursion1:57
  • Tutorial 42-Python Input, Output And Import8:01
  • Tutorial 43-Python Shallow And Deep Copy.7:20

    Demonstrate shallow versus deep copy in Python with a practical example using the copy module. Learn how the equal operator creates shared references, while deep copy recursively copies nested objects.

  • Tutorial 44-Python Lamda Function3:52

    Learn how Python lambda functions act as anonymous definitions, and see how map and filter double inputs and select even numbers from lists.

  • Tutorial 45-Python Assert3:31

    Learn how Python assertions validate conditions with boolean expressions and raise an assertion error when false. See how non-empty input is required to compute averages, with optional error messages.

  • Tutorial 46-Python @property.10:11

    Explore Python's property decorator to manage a Celsius temperature with a getter and setter, including validation against minus 273 and demonstrating how property simplifies attribute access.

Requirements

  • Familiar with Python Basics
  • Familiar with Flask Basics

Description

Learn Python By Demonstrations

  • The course is created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.

    The course starts with the basics, including Python fundamentals, programming, and user interaction.


    The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.


  • The topics covered in this course are:

    * Beginner to Expert Python contents:


    Installing Anaconda

    Python Overview

    Array implementation

    File methods

    Keywords and Identifiers

    Python Tuples

    Python Basics

    Python Fundamentals

    Data Structures

    Object-Oriented Programming with Python

    Functional Programming with Python

    Lambdas

    Decorators

    Generators

    Testing in Python

    Debugging

    Error Handling

    Regular Expressions

    Comprehensions

    Modules

    Flask Framework - URL Building

    Flask Framework - HTTP Method

    Flask Framework - Templates

    Flask Framework - Static Files

    Flask Framework - Request Object

    Flask - Request.from Object

    Flask Framework - Cookies


  • See you inside the course!

Who this course is for:

  • For Python Programming Learners
  • For People Who want to learn Python Fundamentals and later transition into Data Science or Web Development

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