Udemy - Learn Python Programming with Google Colab

[0dayddl]

​

Download Free Download : Udemy - Learn Python Programming with Google Colab
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:2.83 GB
​

Files Included :

Spoiler

1 Introduction.mp4 (141.46 MB)
MP4
1 Dictionary.mp4 (119.14 MB)
MP4
2 Nested Dictionary.mp4 (77.19 MB)
MP4
1 Set.mp4 (57.68 MB)
MP4
1 Function.mp4 (168.72 MB)
MP4
1 Error Handling.mp4 (106.21 MB)
MP4
1 Different Function.mp4 (75.7 MB)
MP4
1 Lambda.mp4 (92.03 MB)
MP4
1 Class and Object.mp4 (78.27 MB)
MP4
1 Method.mp4 (35.91 MB)
MP4
1 Decrotars.mp4 (39.09 MB)
MP4
1 Exception Handling.mp4 (43.02 MB)
MP4
1 Data Type.mp4 (142.1 MB)
MP4
1 GUI 1.mp4 (38.05 MB)
MP4
2 GUI 2.mp4 (66.4 MB)
MP4
3 GUI 3.mp4 (43.33 MB)
MP4
4 GUI 4.mp4 (24.26 MB)
MP4
5 GUI 5.mp4 (15.18 MB)
MP4
1 Practice Lesson 1.mp4 (71.19 MB)
MP4
2 Practice Lesson 2.mp4 (193.78 MB)
MP4
1 Project Part 1.mp4 (25.95 MB)
MP4
2 Project Part 2.mp4 (29.51 MB)
MP4
3 Project Part 3.mp4 (66.28 MB)
MP4
4 Project Part 4.mp4 (46.91 MB)
MP4
5 Project Part 5.mp4 (129.3 MB)
MP4
1 Input.mp4 (50.97 MB)
MP4
1 Operator.mp4 (118.33 MB)
MP4
1 if else.mp4 (20.34 MB)
MP4
2 if elif else.mp4 (101.97 MB)
MP4
1 Loop.mp4 (85.51 MB)
MP4
2 While Loop.mp4 (63.33 MB)
MP4
3 Advance Loop.mp4 (75.36 MB)
MP4
1 String.mp4 (45.48 MB)
MP4
1 List.mp4 (96.69 MB)
MP4
2 List Slice.mp4 (70.35 MB)
MP4
3 List Method.mp4 (69.37 MB)
MP4
4 List Comprehension.mp4 (66.8 MB)
MP4
1 Tuple.mp4 (107.99 MB)
MP4

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

 

[0dayddl]

Python Programming with Google Colab
Published 7/2023
Duration: 8h 9m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.83 GB
Genre: eLearning | Language: English​

Learn Python Programming with Google Colab, how to write, run and verify the output of syntax

What you'll learn
Python with Colab
Introduction to Python Programming
Python Syntax learning
Python functions and decision making operators etc.
Requirements
No programming experience required as this course is for beginners
Description
Python is a popular high-level programming language known for its simplicity, readability, and versatility. It was created by Guido van Rossum and first released in 1991. Python's design philosophy emphasizes code readability, making it an ideal choice for beginners and experienced programmers alike. It supports various programming paradigms, including object-oriented, imperative, functional, and procedural styles.
Python comes with a vast standard library that provides a wide range of modules and packages for various tasks, making it convenient for developers to access built-in functions and features. Additionally, Python has an active and supportive community, making it easier for learners to find resources and seek help when needed.
Course Description - Python Programming with Google Colab:
Welcome to "Python Programming with Google Colab," an immersive and hands-on course designed to introduce you to the fundamentals of Python programming and its practical applications. Whether you're a complete beginner or an experienced programmer looking to add Python to your skillset, this course will provide a comprehensive understanding of Python's syntax and essential features.
Course Overview:
Module 1: Introduction to Python
Understanding Python's history, features, and benefits.
Setting up Google Colab for a seamless coding experience.
Module 2: Python Basics
Python data types: Integers, floating-point numbers, strings, and Booleans.
Input functions: Gathering user input to interact with your programs.
Operators: Arithmetic, comparison, logical, and assignment operators.
Module 3: Conditional Statements
If-else statements: Making decisions based on conditions.
If-elif-else statements: Handling multiple conditions effectively.
Module 4: Loops
While loops: Repeating tasks until a condition is no longer met.
For loops: Iterating through sequences such as strings, lists, and dictionaries.
Module 5: Data Structures
Strings: Manipulating text data and string methods.
Lists: Storing and managing collections of items.
Tuples: Immutable collections for data integrity.
Dictionaries: Organizing data with key-value pairs.
Module 6: Error Handling
Handling exceptions: Preventing program crashes with proper error handling.
Using try-except blocks: Ensuring graceful failure.
Module 7: Lambda Functions
Understanding anonymous functions and their applications.
Module 8: Object-Oriented Programming
Classes and Objects: Defining blueprints for data structures.
Methods: Functions that operate on class instances.
Module 9: Exception Handling in OOP
Raising and handling exceptions within classes.
Who this course is for:
Desire to Lean Programming

Bitte Anmelden oder Registrieren um Links zu sehen.

RapidGator

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

TurboBit

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!