Udemy - PYTHON KITCHEN - Best and Most Comprehensive Beginners Guide

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Udemy - PYTHON KITCHEN - Best and Most Comprehensive Beginners Guide (Size: 1.3 GB)
  1. Data Structures Intro.mp4 42.1 MB
  1. Data Types & Data Structures Intro.mp4 24.4 MB
  1. Introduction.mp4 120.7 MB
  1. Variables Intro.mp4 37.4 MB
  10. Variable Naming Rules.mp4 56.2 MB
  11. Variable Naming Rules.mp4 56.3 MB
  11.1 Naming Rules.png 69.6 KB
  12. Variable Case Styles.mp4 70 MB
  12.1 Cases.png 84.5 KB
  13. Reserved Keywords.mp4 16.3 MB
  14. Variables Conclusion.mp4 45.1 MB
  2. Data Types Intro.mp4 44.1 MB
  2. Google Colab.mp4 87 MB
  2. Python Lists.mp4 24.5 MB
  2. Variable Assignment Intro.mp4 33.2 MB
  3. Integers.mp4 10.6 MB
  3. Python Tuples.mp4 22.2 MB
  3. Variable Assignment Single.mp4 20.5 MB
  4. Python Sets.mp4 34.6 MB
  4. Variable Assignment Multiple.mp4 21.5 MB
  4. type() Function.mp4 10.8 MB
  5. Python Dictionaries.mp4 62.4 MB
  5. Python Operators.mp4 123.2 MB
  5. Variable Assignment Chained.mp4 52.5 MB
  6. Dynamically Typed.mp4 29.5 MB
  6. Python Strings.mp4 31.9 MB
  7. Python String Indexing.mp4 48.3 MB
  7. Variable Labeling.mp4 30.6 MB
  8. Adding More Foods.mp4 16.3 MB
  8. Python len() Function.mp4 30 MB
  9. Python Booleans.mp4 75.8 MB
  9. Unique Variable Labels.mp4 44.5 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 34 total files

Description


PYTHON KITCHEN - Best & Most Comprehensive Beginners Guide
https://DevCourseWeb.com

Published 7/2023
Created by Ozarc Network
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 30 Lectures ( 1h 48m ) | Size: 1.3 GB

A new way to LEARN and UNDERSTAND the Fundamentals of Python[2023]

What you'll learn
Understand the fundamental concepts of Python programming, including variables, data types, and data structures.
Learn how to create and manipulate variables to store and retrieve data in Python.
Gain knowledge of different data types such as integers, floats, strings, booleans, and NoneType, and understand their specific use cases.
Explore various data structures in Python, including lists, tuples, sets, and dictionaries, and learn how to perform operations on them.
Develop the ability to perform arithmetic operations on numbers and concatenate strings to create meaningful outputs.
Learn how to use logical operators to evaluate conditions and make decisions in Python programs.
Understand the concept of indexing and slicing strings to extract specific characters or substrings.
Learn how to find the length of a string and use it for various purposes in Python programs.
Gain proficiency in using the type() function to identify the data type of a variable and ensure proper data handling.
Develop problem-solving skills by applying the learned concepts to real-world scenarios and creating functional Python programs.
Learn how to use the len() function to determine the length of a data structure or string.
Understand the concept of dynamic typing in Python and how it allows for flexible variable assignment.
Gain familiarity with the concept of boolean logic and how it can be used to make decisions in programming.
Develop the ability to combine and manipulate data types and data structures to solve complex problems.
Gain confidence in writing efficient and effective Python code by applying the learned concepts and best practices.

Requirements
Computer or laptop with an internet connection
Gmail account to access Google Drive and Colab

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