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Cooking up Artificial Intelligence with Python

It is presented as a practical and accessible introduction to the fascinating world of Artificial Intelligence (AI), using the Python programming language as the main tool.

By Jay Anthony Allen | Ph.D. in Music Composition | Composer and Producer

(10)
$15.99 USD $59.99

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This course includes:

▪️ 18h duration on demand

▪️ 118 lessons

▪️ 5 downloadable resources

▪️ Available on mobile devices

▪️ Access forever

▪️ Language:

  • Spanish

▪️ Unlimited consultations

Supplementary materials

⚑ Certificate of completion

What you will learn

🟧 Discover Jupyter Notebooks and the Google Colab environment for programming in Python.

🟧 Discover other features of a Colab notebook and its connection to Google Drive.

🟧 Effectively manage the on-screen display of the desired results.

🟧 Create and manipulate boolean data.

🟧 Program code that is executed depending on different conditions (one alternative with else and several alternatives with elif).

🟧 Learn how to save the results of a loop in an empty list and with the append function.

🟧 Learn how to apply a specific format to strings and numbers when displaying messages on the screen.

🟧 Learn common functions in the random module with random simulators.

🟧 Learn how to define and use functions with default arguments to operate by default.

Course content

U1: Python's Kitchen
  • Python's Kitchen!
  • What are Jupyter Notebooks?
  • Jupyter Notebooks Components
  • Google Colab's rivals
  • The Colaboratory Web Application free Jupyter Notebook environment
  • Colaboratory Runtime Environments
  • Colaboratory Documents
  • Text cells
  • Text colors and sizes
  • Code Cells
  • Adding and moving cells
  • Enriched and interactive outputs
  • Example of a graph with formulas
  • Interactive chart example
  • Example of an interactive cell with hidden code
  • Binomial Distribution
  • Web page embedded in code cell
  • Embedded Web Page
  • YouTube video embedded inside a code cell
  • Embedded YouTube video
  • Integration with Drive
  • Comments in a cell
  • Installing the "open in colab" extension
  • Open In Colab Badge
  • A gallery of interesting Jupyter notebooks
  • Hands in the dough!
U2: Python's Kitchen Utensils
  • Python's Kitchen Utensils
  • Hands in the dough 1!
  • Solution: Hands in the dough 1!
  • Python as an advanced calculator
  • Operator precedence
  • Assignment operator
  • Hands in the dough 2!
  • Solution: Hands in the dough 2!
  • "Print" function
  • What we have learned
  • String manipulation
  • Hands in the dough 3!
  • Solution: Hands in the dough 3!
  • String indexing
  • Hands in the dough 4!
  • Solution: Hands in the dough 4!
  • String slicing
  • Hands in the dough 5!
  • Solution: Hands in the dough 5!
  • Hands in the dough 6!
  • Solution: Red-handed 6!
  • What we have learned
U3: The Python's Pantry
  • The Python's Pantry
  • Lists
  • Hands in the dough 1!
  • Solution: Hands in the dough 1!
  • The append method in list management
  • Hands in the dough 2!
  • Solution: Hands in the dough 2!
  • Text strings are immutable
  • The remove() method in list management
  • Hands in the dough 3!
  • Solution: Hands in the dough 3!
  • Concatenation of lists
  • The sort() method in list management
  • Nested lists
  • Hands in the dough 4!
  • Solution: Hands in the dough 4!
  • What we have learned
  • Dictionaries
  • Hands in the dough 5!
  • Solution: Hands in the dough 5!
  • The keys() and values() methods in dictionaries
  • Tuples and Sets
  • What we have learned
U4: Python Cooking Processes
  • Python Cooking Processes
  • Simple conditions
  • if, elif and else
  • Code block indentation
  • Hands in the dough 1!
  • Solution: Hands in the dough 1!
  • Operators and, or and not
  • Hands in the dough 2!
  • Solution: Hands in the dough 2!
  • What we have learned
  • Loops
  • Hands in the dough 3!
  • Solution: Hands in the dough 3!
  • Hands in the dough 4!
  • Solution: Hands in the dough 4!
  • What we have learned
U5: Iterative cooking processes in Python
  • Iterative cooking processes in Python
  • The enumerate() function
  • Hands in the dough 1!
  • Solution: Hands in the dough 1!
  • The zip() function
  • Hands in the dough 2!
  • Solution: Hands in the dough 2!
  • The sorted() and reversed() functions
  • The min(), max() and sum() functions
  • Hands in the dough 3!
  • Solution: Hands in the dough 3!
  • List Comprehensions
  • Hands in the Dough 4!
  • Solution: Hands in the Dough 4!
  • The while loop
  • An infinite loop... (:
  • Break sentence
  • Sentence continues
  • range() function
  • Hands in the dough 5!
  • Solution: Hands in the dough 5!
  • Hands in the dough 6!
  • Solution: Red-handed 6!
U6: Cooking text strings in Python
  • Cooking strings in Python
  • Binary and decimal number systems
  • Integer storage and overflow
  • Introspection of types
  • Implicit type conversion (casting)
  • Explicit type conversion
  • Hands in the dough 1!
  • Solution: Hands in the dough 1!
  • Conversion between collections (Tuples, Sets, Lists)
  • Hands in the dough 2!
  • Solution: Hands in the dough 2!
  • String manipulation functions
  • The split() method
  • Hands in the dough 3!
  • Solution: Hands in the dough 3!
  • The join() method
  • Hands in the dough 4!
  • Solution: Hands in the dough 4!
  • The find() method
  • Hands in the Dough 5!
  • Solution: Hands in the Dough 5!
  • The replace() method
  • Hands in the dough 6!
  • Solution: Red-handed 6!
  • The strip() method and new lines
  • Hands in the dough 7!
  • Solution: Red handed 7!
  • The lower() and upper() method
  • Hands in the dough 8!
  • Solution: Red handed 8!
  • String formatting functions
  • f-string New string interpolation method as of python 3.6
U7: The Python Cookbook

Python Cookbooks

Using standard library functions: math module

Using standard library functions: random module

Using standard library functions: time module

Install external modules

Hands in the dough 1!

Solution: Hands in the dough 1!

Hands in the dough 2!

Solution: Hands in the dough 2!

U8: Python External Pantries
  • Python External Pantries
  • Google Colab
  • Archives
  • Shell Commands in Google Colab Jupyter Notebooks
  • Google Colab File System
  • Upload files from your local file system to Google Colab
  • Download files from the internet to Google Collab
  • Passing values ​​to and from the shell to the Jupyter notebook
  • Writing files in Google Colab
  • File Object Attributes
  • close() method
  • Reading and Writing Files
  • read() method to read part or all of the file
  • readline() method to read one line at a time
  • The readlines() method to read the lines as a list
  • Using the with statement with loops using read(), readline(), or readlines()
  • Position of a file
  • Download files from Google Colab to local computer
  • Download Google Colab file sets to local machine
  • Activate Google Drive locally
  • Version using code snippets
  • Own version in code cell
  • Create a new Drive file with Python data
  • Download file sets to local machine in Google Drive
  • Upload files from your local file system to Google Drive
  • Move files from Google Colab to Google Drive
  • Hands in the dough 1!
  • Hands in the dough solution 1!
  • Caught in the act 2!
  • Hands in the dough solution 2!
  • Caught in the act 3!
  • Hands in the dough solution 3!
  • Direct access to Google Drive file without user validation
  • Upload file to Google Colab
  • Zip file upload to Colab Google
U9: My recipe book.mp4
  • My recipe book
  • Functions
  • Purpose
  • Function arguments
  • What can be passed as an argument to a function?
  • Default arguments
  • Return arguments
  • Scope
  • Scope of variables
  • Local variables
  • Global variables
  • Pass by value or by reference
  • Red handed!
  • Solution: Red-handed 0!
  • Reviewing file reading
  • Hands in the dough 1!
  • Solution: Hands in the dough 1!
  • Writing our first function
  • Hands in the dough 2!
  • Solution: Hands in the dough 2!
  • The count_in_list function
  • Hands in the dough 3!
  • Solution: Hands in the dough 3!
  • A more general counting function
  • The counter function (version 1)
  • Hands in the dough 4!
  • Solution: Hands in the dough 4!
  • The counter function (version 2)
  • Text cleaning
  • Hands in the dough 5!
  • Solution: Hands in the dough 5!
  • General cleaning function
  • Hands in the dough 6!
  • Solution: Red-handed 6!
  • Hands in the dough 7!
  • Solution: Red handed 7!
  • Writing results to a file
  • Hands in the dough 8!
  • Solution: Red handed 8!
Course evaluation
  • This course contains a final exam
G-Tools: For Students
  • Exclusive access to cutting-edge student tools: improve your employability, participate in exclusive events, take advantage of our intelligent virtual assistant, and more.
⚑ Certificate of completion
  • Your personalized digital certificate, a unique badge of your achievements, with international validity, course duration and QR code for instant verification.
__
Downloadable resources:

📎 Downloadable Guide Set:

▸ Python's Kitchen.ipynb
▸ Python.ipynb cooking processes
▸ The Python Cookbook.ipynb
▸ And more...

Description

✔️ The president of the American MIT, L. Rafael Reif, states that the goal of his university is to "educate the bilinguals of the future", defining bilinguals as people in fields such as biology, chemistry, politics, history and linguistics, who are also trained in artificial intelligence techniques that can be applied to them.

It is necessary for any university student, regardless of their degree, to know the language of machines (Python programming) and for this we have chosen the Google Colab platform that allows for a soft landing and that in a few years will have a much greater impact than Google Drive has had on our lives.

Companies from all industries invest in the development of their teams with this course from G-Talent and Jay Anthony Allen


Pack de 3 cursos

Jay Anthony Allen

Ph.D. in Music Composition | Composer and Producer

About Jay Anthony Allen

Ph.D. in Music Composition | Composer and Producer

Dr. J. Anthony Allen is a distinguished composer, producer, educator, and innovator who has forged a multifaceted career spanning various musical disciplines. Born in Michigan and based in Minneapolis, he has composed orchestral works and produced acclaimed dance music, educating over a million students worldwide in music theory and electronic music production through his entrepreneurial projects.

Dr. Allen's musical influence is global, with compositions performed across Europe, North America, and Asia. His versatility is evident in works ranging from performances with the Minnesota Orchestra to soundtracks for Netflix. Beyond his creative endeavors, Dr. Allen is committed to revolutionizing music education for the 21st century. In 2011, he founded Slam Academy, an electronic music school aimed at increasing accessibility to music production education. His innovative approach to academia was highlighted in 2024 when he received tenure and resigned from his university position on the same day.

As a composer, Dr. Allen is recognized for his unique synthesis of diverse musical influences, often blending acoustic music with electronic elements. With a Ph.D. in Music Composition, multiple master's degrees, and numerous awards, his academic and professional achievements are substantial.

The Minneapolis Star Tribune has recognized him as a "Mover and Shaker," reflecting his constant pursuit of new challenges in music, education, and exploration.

Why choose to learn from Dr. J. Anthony Allen?

▪️ Global Experience: A composer and producer with works performed internationally, offering a diverse perspective on music.
▪️ Innovative Education: Founder of Slam Academy, committed to increasing accessibility to modern music education.
▪️ Interdisciplinary Approach: His expertise in blending acoustic and electronic music provides unique, applicable learning across different genres.
▪️ Impactful Results: His teaching is designed to transform one's understanding of music and enhance skills in production.

Don't miss the opportunity to learn from Dr. J. Anthony Allen and transform your musical approach! Enroll now in his course and discover the tools you need to take your music production to the next level.

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