This course will teach you how to build a professional API platform using pure Flask, without any supplemental libraries, so that students can learn the fundamentals of RESTful API design.

In today’s world, dominated by gorgeous JavaScript user interfaces and mobile applications, the ability to build a scalable and well architected API is key to be able to supplement those applications and ensure that clients and servers communicate with the proper interfaces.

The course covers the basic concepts of the RESTful API pattern and then goes into detail and step by step building an API platform that will cover the six constraints of the architecture. Students will learn the industry-standard and will follow best practices for API architectures.

At the end of the course students will be able to design, architect and build their own RESTful API platforms, and with the deep understanding of the laws governing APIs, can go ahead and try out the API libraries available for Python and Flask, knowing the fundamentals and the advantages of using them.

If you already know the basics of Flask and you are interested in how to design, architect and build an API platform, this is the course for you.

The course is divided in 2 sections:

• Introduction which covers all the concepts necessary to understand what is a RESTful API and its six constraints
• A step by step explanation building a Pet Store API that will include an authentication layer, a Store endpoint and a Pet endpoint as well as search functionalities

Join this course and continue your path to becoming a professional backend web developer!

Delving into the world of coding can be intimidating. With so many complex languages and implementation possibilities, it's easy to become overwhelmed. By starting off with Python programming, you'll learn a simple, versatile and highly readable code that you can execute on a wide variety of systems quickly and easily.

Master one of the most popular programming languages in the world

- Understand and implement basic Python code
- Create and run a real-world Python program
- Gain a knowledge of basic programming concepts

Learn a simple, streamlined coding language quickly and easily

If you've never written a single line of code or if you're well-versed in multiple program languages, Python Programming for Beginners will enable you to better understand programming concepts.

Widely regarded as one of the most simple and versatile programming languages out there, Python is used for web programming, video game building, microchip testing, desktop apps, and so much more. Used by programmers, developers, designers and everyone in between, it's one of the easiest programming languages to learn, and definitely the best starting point for new coders. This course will not only give you an understanding of the code, but will enable you to create and run real world Python programs too.

Course Overview

This course includes over 26 lectures and 3.5 hours of content, designed specifically for Python programming beginners.

You will be guided through the installation process and the basic concepts of Python programming, understanding with the language as a whole. From there, you'll dive straight into the specifics, learning the variables, loops and statements of the language and understanding the function parameters, variables and common errors.

During this course you'll have the opportunity to put your knowledge to practical use by working with files and classes, importing syntax and making modules, and most importantly, by building your own Python program from scratch.

You'll walk away with detailed knowledge of one of the most widely used programming languages in the world. You'll have gained a foundation of skills that will enable you to progress to more complex coding languages, as well as understanding the underlying principles of all programming languages. In short, you'll have everything you need to become a proficient programmer.

Your definitive step-by-step guide to conquering python web programming…

Imagine powering up your tablet and browsing a site you built. Or discovering the skills necessary to launch a career in web programming. Or imagine, after years of thinking about it, finally crossing “become code literate" off your bucket list. The Python Web Programming online course will ease you through the big, vast world of Python coding. Over the course of 7 hours, you'll be introduced to all the innovative concepts and foundational principles necessary to master web programming with Python. So whether you're an upstart programmer, an aspiring web developer, or someone just looking to gain a deeper understanding of python web programming, with this course you'll acquire the understanding and the confidence to conquer all things Python.

Three Reasons To Learn Web Programming With Python

• It's easy and quick to learn: Forget strict syntax rules and endless strings of coding, Python was designed with simplicity in mind. And you'll be busy coding before you know it. Why? Because Python requires less time, less code and less concepts than all other programming languages.
• It's a stepping stone: New to object-oriented coding, or programming all together? Get your feet wet with the most versatile coding language on the market. Python teaches you sound foundational skills that are easily transferable to other, more tedious languages.
• It's a money maker: The demand for Python web programmers is booming. In fact, it's the most popular coding language in the world. Used by giants like Google, Pinterest and Instagram, it's is the only language you'll need to begin a career in Python web programming, design your own game or create your own app. And that's just for starters.

How is this course different?

We understand. There are other Python courses .But The Complete Guide to Python Web Programming dives deep into all aspects of web programming with Python. We pull back the curtain on coding—giving you an unparalleled understanding of the art and science behind it. But we don't stop there. Because you'll graduate with the all the tools necessary to build vibrant, sustainable web based programs.

You see, this course was created as a labor of love. In fact, it's delivered with a level of quality and expertise you'd expect from an elite university ---not an online course.

What are the requirements?

• A computer
• PC, Mac or Linux Operating Systems OK

What am I going to get from this course?

• 60 lectures and over 6+ hours of content!
• Acquire an in-depth understanding of Python web programming.
• Get hands on experience working with Python files and building programs

What is the target audience?

• Programmers
• Aspiring web developers and app creators
• Anyone aspiring to become code literate

If you’re plugged into the tech industry, you’ll know that two things have been making consistent waves in many areas over the past few years; machine learning and Python. What happens when you combine the new gold standard programming language with the most significant tech development in areas such as financial trading, online search, digital marketing and even data and personal security (among others)? Great things, that’s what. This course will show you what’s what, and get you started on becoming a machine learning guru.

Learn the New Future of Programming

• Understand what machine learning is and what it can do
• Discover how Python utilises machine learning
• Build machine learning processing from the ground up
• Delve into complex logic and data structures

Increase Your Python Expertise

If you have a desire to learn machine learning concepts and have some previous programming or Python experience, this course is perfect for you. If you’re more of a beginner than an intermediate, don’t worry; each module starts with theory to explain upcoming concepts. Once you’re comfortable, you’ll put your knowledge into practice with a code walk through.

The goal of this course is to build procedural machine learning from the ground up. Writing processing from scratch allows students to gain a more in-depth insight into data processing, and as each machine learning app is created, explanations and comments are provided to help students understand why things are being done in certain ways. Each code walk through also shows the building process in real time.

The course begins with an introduction to machine learning concepts, after which you’ll build your first machine learning application. Following that, we look at data analysis, linear algebra, natural language processing and clustering, all within the context of Python. At the end of the course, you’ll be issued with a certificate of completion and will have gained a full introduction into the world of machine learning with Python.

What is Machine Learning?

Machine learning is a method of data analysis that essentially allows computers to ‘learn’ on their own without being explicitly programmed. For example, when you stop scrolling through Facebook to read a friend or a page’s post, algorithms automatically work to make sure you’ll see more content from those sources earlier in your news feed in future.

At the end of this course, you will have a thorough understanding of Numpy' s features and when to use them. Numpy is mainly used in matrix computing. We'll do a number of examples specific to matrix computing, which will allow you to see the various scenarios in which Numpy is helpful. There are a few computational computing libraries available for Python. It's important to know when to choose one over the other. Through rigorous exercises, you'll experience where Numpy is powerful and develop and understanding of the scenarios in which Numpy is most useful.

• Express fully why Numpy should be used
• Ability to install Numpy
• Understanding of how to use Numpy

Python is a big deal. More and more beginner programmers are choosing it as their first language to learn, which means its future is more than just bright - it’s dazzling. It makes coding faster, easier and fun. When combined with the object oriented programming approach these qualities are further enhanced, which means Python is virtually unstoppable. If you want to future-proof your programming skills, this is exactly what you need to learn.

Build and Enhance Python Applications

• Maintain and organise Python code more efficiently
• Build as you go for practical, real-world experience
• Learn a new, easy approach to programming
• Separate code into objects to maximise power and minimise stress

Get to Grips with Object Oriented Programming

This online course is designed with beginners in mind. Although it helps to already know the basics of Python, it’s not a requirement. You’ll be guided through the entire installation process before hitting the more challenging material. If your goal is to learn how to enhance, maintain and build highly-driven applications, then this is the course for you regardless of your skill level.

Once installation is complete you’ll dive straight into the various features and functions of Python including the class construct, attributes, methods, class variables and more. Then you’ll get to grips with the more advanced concepts. Object oriented programming in relation to Python, the constructor/destructor magic methods, and class inheritance are all given dedicated sections with live exercise demos and explanations at every stage.

As you progress through the course you’ll complete a final project based on real-world examples, to prepare you for undertaking your own OOP Python projects. By the end of this course, you’ll have a thorough understanding of Python, the object oriented programming approach, and how to combine the two.

About Python

Python is a high-level, general-purpose, dynamic programming language that is becoming ever more widespread in the programming world. It is readable, succinct, scalable, and can support multiple programming paradigms. It is now the most common ‘starter’ language taught on university programming courses and is seen by many as the future of coding.

Scraping data from webpages can be a tedious job. But it doesn’t have to be.

With Scrapy, you can scrape using XPath or CSS. With the large number of examples from both techniques, you’re sure to find a solution that fits for you.

Whether your targeting data on a single page or multiple, Scrapy can handle the job. No matter if the data is within a list, you can scrape specific patterns right out of the list. Building up your specific Scrapy job isn't a difficult task.

Scrapy is a Python library. If you're familiar with Python, XPath or CSS, you'll feel right at home using Scrapy.

At the end of this course, you will understand:

- what Scrapy is used for
- how to install it
- how to use Scapy

In summary, you'll be able to target specific elements on a webpage, whether the element is stand along or in a list. Then you can retrieve a group of those elements or just one. This technique allows you to pull down specific types of data.

The course ends with a project to help solidify what you've learned. There is a full walk through included with the project solution.

More and more people are realising the vast benefits and uses of analysing big data. However, the majority of people lack the skills and the time needed to understand this data in its original form. That's where data visualisation comes in; creating easy to read, simple to understand graphs, charts and other visual representations of data. Python 3 and Matplotlib are the most easily accessible and efficient to use programs to do just this.

Learn Big Data Python

Visualise multiple forms of 2D and 3D graphs; line graphs, scatter plots, bar charts, etc.

Load and organise data from various sources for visualisation

Create and customise live graphs

Add finesse and style to make your graphs visually appealling

Python Data Visualisation made Easy

With over 58 lectures and 6 hours of content, this course covers almost every major chart that Matplotlib is capable of providing. Intended for students who already have a basic understanding of Python, you'll take a step-by-step approach to create line graphs, scatter plots, stack plots, pie charts, bar charts, 3D lines, 3D wire frames, 3D bar charts, 3D scatter plots, geographic maps, live updating graphs, and virtually anything else you can think of!

Starting with basic functions like labels, titles, window buttons and legends, you'll then move onto each of the most popular types of graph, covering how to import data from both a CSV and NumPy. You'll then move on to more advanced features like customised spines, styles, annotations, averages and indicators, geographical plotting with Basemap and advanced wireframes.

This course has been specially designed for students who want to learn a variety of ways to visually display python data. On completion of this course, you will not only have gained a deep understanding of the options available for visualising data, but you'll have the know-how to create well presented, visually appealing graphs too.

Tools Used

Python 3: Python is a general purpose programming language which a focus on readability and concise code, making it a great language for new coders to learn. Learning Python gives a solid foundation for learning more advanced coding languages, and allows for a wide variety of applications.

Matplotlib: Matplotlib is a plotting library that works with the Python programming language and its numerical mathematics extension 'NumPy'. It allows the user to embed plots into applications using various general purpose toolkits (essentially, it's what turns the data into the graph).

IDLE: IDLE is an Integrated Development Environment for Python; i.e where you turn the data into the graph. Although you can use any other IDE to do so, we recommend the use of IDLE for this particular course.

Computational computing can be a complex topic. How to perform various mathematical functions in code isn't straight forward.

With Python's Scipy library, we'll walk through a number of examples showing exactly how to create and execute complex computational computing functions.

The course starts with an explanation of what Scipy is. Then we see how to install it. From there, we get into simple mathematical computations and and move into more advanced computations. The last few lessons demonstrate the full capabilities of Scipy.

Scipy is for those that need to perform rigorous, complex computations and not have the program bog down computing them. If you're ready to see how to create even the most complex mathematical functions in code, this course is for you.

Coding Python from the command line isn't a fun experience when you begin getting into longer form code. The command line simply isn't designed for that. That's where iPython comes in. At the end of this course, you'll have a thorough understanding of iPython. It may even become your go-to Python editor. You'll also know the differences between iPython and Jupyter.

Through a number of examples with various scenarios, you'll develop an understanding of how iPython is an extremely efficient Python editor for long form code compared to the command line. You'll know how to enter in code, markdown for comments and rearrange/edit code as needed.

Scraping data from webpages can be a tedious job. But it doesn’t have to be.With Scrapy, you can scrape using XPath or CSS. With the large number of examples from both techniques, you’re sure to find a solution that fits for you.Whether your targeting data on a single page or multiple, Scrapy can handle the job. No matter if the data is within a list, you can scrape specific patterns right out of the list. Building up your specific Scrapy job isn't a difficult task.Scrapy is a Python library. If you're familiar with Python, XPath or CSS, you'll feel right at home using Scrapy.

Computational computing can be a complex topic. How to perform various mathematical functions in code isn't straight forward. With Python's Scipy library, we'll walk through a number of examples showing exactly how to create and execute complex computational computing functions. The course starts with an explanation of what Scipy is. Then we see how to install it. From there, we get into simple mathematical computations and and move into more advanced computations. The last few lessons demonstrate the full capabilities of Scipy.Scipy is for those that need to perform rigorous, complex computations and not have the program bog down computing them. If you're ready to see how to create even the most complex mathematical functions in code, this course is for you.

At the end of this course, you will have a thorough understanding of Numpy' s features and when to use them. Numpy is mainly used in matrix computing. We'll do a number of examples specific to matrix computing, which will allow you to see the various scenarios in which Numpy is helpful. There are a few computational computing libraries available for Python. It's important to know when to choose one over the other. Through rigorous exercises, you'll experience where Numpy is powerful and develop and understanding of the scenarios in which Numpy is most useful.You'll also know how to install Numpy.

Coding Python from the command line isn't a fun experience when you begin getting into longer form code. The command line simply isn't designed for that. That's where iPython comes in. At the end of this course, you'll have a thorough understanding of iPython. I'm guessing it will even become your goto Python editor. You'll also know the differences between iPython and Jupyter. Through a number of examples with various scenarios, you'll develop an understanding of how iPython is an extremely efficient Python editor for long form code compared to the command line. You'll know how to enter in code, markdown for comments and rearrange/edit code as needed.

BeautifulSoup is a popular Python library for extracting data from HTML or live pages. It isn't limited to a single webpage. You can extract data from multiple webpages. In fact, one of the examples we use does just that. Knowing how to find data within the HTML tree is key to getting targeted data. This course will show you how to identify that data within the HTML tree. Then you'll build a parsing rule to extract it using BeautifulSoup. With a number of examples to ensure you know exactly how to find data, build parsing rules and the needed code to execute the extract, you'll walk away from this course feeling confident in your abilities to retrieve data from webpages.

Games by their very nature are supposed to be fun. So why should the process of creating them be tedious and complicated? Instead of sitting through hours of lectures and game development theory, this course cuts to chase and allows you to create a game straight away, learning as you go.

Learn Python game development by creating your own game

1.Gain practical experience in Python game development

2.Develop a clone of Flappy Bird using Python game programming

3.Create levels with increasing difficulty and complexity

4.Understand and utilize the opportunities Python games provide

Master game development in a fun environment

Python game programming is a set of Python modules designed specifically for writing games. It allows you to create fully featured games and multimedia programs using the Python programming language. Python is highly popular and versatile, running on almost every platform and operating system out there; so mastering it is of enormous benefit whether you want to create Python games or pretty much anything else. By completing this course, you can create open source, free, freeware, shareware and commercial games using Python game programming.

Course Overview

This course contains 21 lectures and over 3 hours of content. It is intended for those who already have a working knowledge of Python programming or general programming, and who want to apply their skills to games development. However, beginners may still be able to follow the course too.

The main focus of this course is to create a clone of the smash hit (and extremely simple) game Flappy Bird using Python game programming. You will first be introduced to Python programming concepts and initial coding, and then delve straight into the making your game from scratch.

The first two elements of the game you will learn are the time clock and game over. From there, you'll progress to initial graphics setup including the background and adding graphics to the screen. Following that, you'll move on to working with coordinates.

The next few sections of the course focus in detail on creating input controls, boundaries, crash events and menu creation, as well as creating obstacles using polygons. Finally, you'll add the finishing elements to your game like game logic, score display, colours, and most importantly, difficulty levels.

By the end of this course you will have created your own Flappy Bird game from scratch using Python game programming and Python game development techniques. The skills you picked up along the way will give you a solid groundwork for creating bigger, more complex, and more versatile games that can be run on any platform or any operating system.