Software Libraries Explained – Python Programming for All
Software Libraries Explained – Python Programming for All, available at $19.99, has an average rating of 4.15, with 95 lectures, 4 quizzes, based on 14 reviews, and has 183 subscribers.
You will learn about Code in the web's most popular programming language: Python Create basic line and scatter plots with Matplotlib 1.5 Read finance data directly from Yahoo Customise our graphs with visuals, a title, labels, text and a legend Organize data into histograms, pie charts, and box and whisker plots Perform calculations, functions and statistics with NumPy And so much more in this massive life-changing course This course is ideal for individuals who are Anyone who wants to learn to code for the web in the popular Python programming language. or Experienced programmers who want to learn a 2D plotting library for Python. or Beginners who want to learn to code for the web and make games in the popular Python programming language. It is particularly useful for Anyone who wants to learn to code for the web in the popular Python programming language. or Experienced programmers who want to learn a 2D plotting library for Python. or Beginners who want to learn to code for the web and make games in the popular Python programming language.
Enroll now: Software Libraries Explained – Python Programming for All
Summary
Title: Software Libraries Explained – Python Programming for All
Price: $19.99
Average Rating: 4.15
Number of Lectures: 95
Number of Quizzes: 4
Number of Published Lectures: 95
Number of Published Quizzes: 4
Number of Curriculum Items: 99
Number of Published Curriculum Objects: 99
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Code in the web's most popular programming language: Python
- Create basic line and scatter plots with Matplotlib 1.5
- Read finance data directly from Yahoo
- Customise our graphs with visuals, a title, labels, text and a legend
- Organize data into histograms, pie charts, and box and whisker plots
- Perform calculations, functions and statistics with NumPy
- And so much more in this massive life-changing course
Who Should Attend
- Anyone who wants to learn to code for the web in the popular Python programming language.
- Experienced programmers who want to learn a 2D plotting library for Python.
- Beginners who want to learn to code for the web and make games in the popular Python programming language.
Target Audiences
- Anyone who wants to learn to code for the web in the popular Python programming language.
- Experienced programmers who want to learn a 2D plotting library for Python.
- Beginners who want to learn to code for the web and make games in the popular Python programming language.
Graphing & Programming for Everyone: Math & Computer Science
Don’t miss out on this epic course of web programming and using the latest technology for prediction and data analysis. Enroll now to learn Python, Matplotlib, and NumPy – three massive topics in one straightforward course.
This course was funded by a wildly successful Kickstarter.
Do you want to learn how to visualize data? Enroll in this course to learn how to do so directly in code. This course is suitable for coding beginners because we begin with a complete introduction to coding. Then we delve deep into using Matplotlib, a Python 2D plotting library.
Learn how to use Python, a popular coding language used for websites like YouTube and Instagram.
You learn the basics of programming, including topics like variables, functions, and if statements. You learn about data structures such as lists, dictionaries, and sets. We cover how to use for and while loops, how to handle user input and output, file input and output.
We apply our knowledge to build a fully functional tic-tac-toe game. You learn classes, methods, attributes, instancing, and class inheritance. We make an additional Blackjack game! You learn how to solve errors that can occur when you work as a programmer.
Take your Python knowledge and apply it to Matplotlib.
We go over many cool features of Matplotlib that we can use for data visualization. We show you how to make line plots, scatter plots, candlestick plots. You learn how to customize the visuals of your graph and to add text and annotate graphs. And much more!
Go through every step you need to create and shape NumPy and 2D arrays.
Learn how to resize, format, and sort arrays. Then we cover how to perform calculations within NumPy arrays. You learn about math functions, statistics, and polynomials with NumPy.
Choose this course today
We prioritize learning by doing. We blend theory with practical projects to ensure you get a hands-on experienceby building projects alongside your instructor. Our experienced instructors know how to explain topics clearly at a logical pace. Check out our huge catalog of courses for more content.
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Enroll now to join the Mammoth community!
Course Curriculum
Lecture 1: Course Trailer
Chapter 1: Introduction to Python
Lecture 1: Python Introduction
Chapter 2: Basic of Programming
Lecture 1: Variables
Lecture 2: Functions
Lecture 3: If Statements
Chapter 3: Introduction to Lists
Lecture 1: Lists
Chapter 4: Introduction to Loops
Lecture 1: Using For Loops (with Examples)
Lecture 2: Introduction to While Loops
Lecture 3: Breaking and Continuing In Loops
Lecture 4: Making Shapes with Loops
Lecture 5: Nest Loops, Printing & Tic Tac Toe
Chapter 5: Introduction to Sets and Dictionaries
Lecture 1: Sets and Dictionaries
Lecture 2: EXAMPLE: Inventory List
Chapter 6: Introduction to Input and Output
Lecture 1: Implementing Input and Output
Lecture 2: Integrating File Input and Output
Lecture 3: EXAMPLE: Tic Tac Toe (Part 1)
Lecture 4: EXAMPLE: Tic Tac Toe (Part 2)
Lecture 5: EXAMPLE: Writing Participant Data to File
Lecture 6: EXAMPLE: Reading Participant Data to File
Lecture 7: EXAMPLE: Simple Statistics with Data from File
Chapter 7: Introduction to Classes
Lecture 1: A First Look at Classes
Lecture 2: Inheritance and Classes
Lecture 3: EXAMPLE: Classes Using Pets
Lecture 4: EXAMPLE: Classes Using Dogs
Lecture 5: EXAMPLE: Classes Using Cats
Lecture 6: EXAMPLE: Adding Humans to Pets Class
Chapter 8: Introduction to Importing
Lecture 1: Importing and the Random Library
Lecture 2: Another Way to Import and Use Lists with Random
Lecture 3: Using the Time Library
Lecture 4: Introduction to the Math Library
Lecture 5: EXAMPLE: Make a Random Guessing Game
Lecture 6: EXAMPLE: Make Computer Guess a Number
Chapter 9: PROJECT: Python Blackjack Game
Lecture 1: Creating and Shuffling a Deck
Lecture 2: Creating a Player Class
Lecture 3: Expanding the Player Class
Lecture 4: Implementing a Bet and Win
Lecture 5: Implementing Player Moves
Lecture 6: Running the Game
Chapter 10: Introduction to Error Handling
Lecture 1: Error Handling
Chapter 11: Challenge! Python Coding Exercises
Chapter 12: Introduction to Matplotlib
Lecture 1: Installing Matplotlib
Lecture 2: Introduction to Matplotlib
Chapter 13: Basics of Matplotlib
Lecture 1: Setup and Installation
Lecture 2: Creating our First Scatter Plot
Lecture 3: Line Plots
Chapter 14: Graph Customization
Lecture 1: Labels, Title and Legend
Lecture 2: Changing the Axis Ticks
Lecture 3: Adding Text to a Graph
Lecture 4: Annotating a Graph
Lecture 5: Changing Figure Size and Saving
Lecture 6: Changing Axis Scales
Chapter 15: Advanced Plots in Matplotlib
Lecture 1: Creating Histograms (Part 1)
Lecture 2: Creating Histograms (Part 2)
Lecture 3: Changing Histogram Types
Lecture 4: Bar Plots
Lecture 5: Stack Plots
Lecture 6: Pie Charts
Lecture 7: Box and Whisker Plots
Chapter 16: Finance Graphs
Lecture 1: Creating Figures and Subplots
Lecture 2: Getting and Parsing CSV Data for Plotting
Lecture 3: Creating a Candlestick Plot
Lecture 4: Setting Dates for our Candlestick Plot
Lecture 5: Reading Data directly from Yahoo
Lecture 6: Customizing our OHLC Graph
Chapter 17: Advanced Graph Customization
Lecture 1: Adding Grids
Lecture 2: Tick Labels
Lecture 3: Customizing Grid Lines
Lecture 4: Live Graphs
Lecture 5: Styles and rc Parameters
Lecture 6: Sharing an X-axis between Two Plots
Lecture 7: Setting Axis Spines
Lecture 8: Creating Multiple Axes in a Figure (Part 1)
Lecture 9: Creating Multiple Axes in a Figure (Part 2)
Lecture 10: Plotting into Multiple Axes (Part 1)
Lecture 11: Plotting into Multiple Axes (Part 2)
Chapter 18: 3D Plotting with Matplotlib
Lecture 1: Introduction to 3D Plotting
Lecture 2: Surface Plots and Colormaps
Lecture 3: Wireframes and Contour Plots
Lecture 4: Stacks of Histograms and Text for 3D Plotting
Instructors
-
Mammoth Interactive
Top-Rated Instructor, 3.3 Million+ Students -
John Bura
Best Selling Instructor Web/App/Game Developer 1Mil Students
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 2 votes
- 4 stars: 7 votes
- 5 stars: 5 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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