Beginners Guide to Coding in Python (20 Hours)
Created by Team Mammoth
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109 lectures
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Skill level
All levels
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Sections
19
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Lectures
109
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Instructor
Team Mammoth
What's inside
This course includes.
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19
Sections
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Certificate of completion
Included
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Mobile and desktop access
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AI learning assistance
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Course content
Curriculum & lectures.
+ Welcome! 3 lectures Preview
Preface
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All courses will be automatically added to your account.
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Where to Start: Recommended Course Order
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+ 00 Python Introduction 2 lectures
00. Intro
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01. Introduction To Python
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+ 01 Code Python on the Web 3 lectures
01.01 What Is Google Colab
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01.02 What If I Get Errors
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01.03 How Do I Terminate A Session
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+ 02 Python Language Fundamentals 19 lectures
02. Variables
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02b. Variables Examples
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03. Type Conversion Examples
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04. Operators
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05. Operators Examples
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06. Collections
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07. Lists
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08. Multidimensional List Examples
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09. Tuples Examples
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10. Dictionaries Examples
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11. Ranges Examples
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12. Conditionals
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13. If Statement Examples
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14. If Statement Variants Examples
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15. Loops
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16. While Loops Examples
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17. For Loops Examples
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18. Functions
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19. Functions Examples
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+ Introduction to HTML 15 lectures
01. Course Requirements
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02. What Is Jsbin
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03. Setting Up The Html Document
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04. Header Tags And Paragraphs Tags
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05. Styles
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06. Bold Underline And Italic Tags
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07. Adding In A Link
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08. Adding In A Image
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09. Adding A Link To An Image
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10. Lists
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11. Tables
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12. Different Kinds Of Input
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13. Adding In A Submit Button
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14. Scripts And Style Tags
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Resources
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+ Python and flask web development bootcamp 9 lectures
00 Course Overview
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00B What is flask
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00C What you'll need
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01 Build your first flask app
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02 Render HTML on multiple pages
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03 Build page templates with HTML
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04 Build dynamic page templates
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05 Display JSON data
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06 Build a template to show all data
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+ Python and SQLite Bootcamp - learn to build databases - overview 4 lectures
01 What You'll Need
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00A Project And Database Preview
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00B What Is Sqlite
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00 Source Files
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+ Work with Databases in Python 10 lectures
01 Create A Database
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02 Build Database Tables
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03 Insert Records
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04 Select Records
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05 Connect To A Database
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06 Build A Row From User Input
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07 Check If Entry Already Exists
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08 Introduction To SQL Joins
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09 Build SQL Joins
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Source Files
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+ Constructing a Movie Reccomendaiton System: Introduction to User Similarity 5 lectures
01 Load Data Into Dataframes
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02 Find A Recommendation Based On Different Movie Features
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03 Calculate Distance Between Users
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04 Find Similar Users With Euclidean Distance
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Source Files 1-4
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+ Machine Learning User Recommendations with Profiles and Items 1 lecture
01 Project Preview
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+ Build a Dense Neural Network to Recommend Movies 3 lectures
01 What Is Deep Learning
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02 What Is A Neural Network
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03 What Is Unsupervised Learning
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+ Scrape the Web - Python and Beautiful Soup Bootcamp - Welcome 3 lectures
00 What Is Web Scraping
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01 What You'll Need
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Intro-Source Files
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+ Web Scraping with Beautiful Soup in Python 9 lectures
02 Build An Html Webpage To Scrape
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03 Select Data Structures From A Webpage
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04 Extract Urls And Text
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05 Work With Tags
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06 Work With Attributes
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07 Add Navigation To A String
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08 Navigate Html Contents
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09 Find All Filter
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Source Files
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+ Build Interactive python dashboards with plotly and dash - Overview 4 lectures
00 01 Project Preview
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00 02 What Is Plotly And Dash
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00 03 What You'll Need
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Source Files
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+ Project 1 - Build a Dash App with Plotly 2 lectures
3-01 Build A Dash App
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3-02 Build A Graph In The Dash App
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+ Project 2 - Build a Dash App with Altair 3 lectures
4-01 Load Data From Vega Datasets
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4-02 Build The Layout
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4-03 Build A Chart With Altair
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+ Python Data Analysis Bootcamp with Pandas and NLTK - Natural Language Processing - Course Overview 2 lectures
00 Project Preview
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Source Files
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+ 03 Project - Analyze Text Data with Pandas and NLTK 5 lectures
01 Convert Csv File To A Python List
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02 Tokenize Text Data
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03 Find Most Popular Lemmatized Words
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04 Build Dataframes Per Part Of Speech
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05 Plot Word Frequency
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+ Data Mining with Python and NumPy - build a video recommender system 7 lectures
00 Course Overview
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01 Project Preview
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01 Build A Dataset
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02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y
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03 Compute Support And Confidence For All Channels
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04 Determine Which Videos Are Best To Recommend
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Source Files
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Instructors
Taught by people who ship.
Team Mammoth
Instructor
Produced by a team of Mammoth Club industry experts. Over 14 years, Mammoth Club has built a global student community in 190+ countries with 9+ million courses sold, releasing over 1,000+ courses and 5,000+ hours of video content.
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