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 webs 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 webs 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 experience?by 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.

“The Instructor goes very?in-depth?about everything. This is very helpful to remember all these different things!” – KingSloth_GameStudio?on?The Ultimate iOS 11 Course

“I really like the approach the presenter takes – not just the technical details, but also the very?human, personal development information and recommendations?he provides.” – Michael?on?The Ultimate iOS 11 Course

“The instructor is very good at teaching. He teaches at a?great pace?and covers anything a beginner would need to understand (every little detail). I am already learning a lot and I just started yesterday. – Mike on?Build 30 Mini Virtual Reality Games in Unity3D from Scratch

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!