This course will teach you some of the advanced development concepts used in the top tech companies today. How do I know this? Because I’ve been leading tech teams in both large enterprise as well as startup companies in New York City for the past 15 years.

Thousands of students have completed my "Professional Python Web Development Using Flask" Udemy Course, which introduced them to the basic concepts of Python and Flask and this course builds on top of that knowledge and takes you to the next step in web application architecture design.

The course goes through the process of building a social web application using Python Flask and the most popular document store database in the market: MongoDB. We will go over modeling best practices, how to build efficient indexes and how to interact with it using the popular MongoEngine ORM.

Step-by-step we will go over the user registration, login and management, the relationship model for users to become friends, and a scalable news feed system using the same architectural design that Twitter and other popular social applications have been using to handle massive amounts of user data.

Additionally we will setup and use Amazon’s AWS cloud infrastructure for this social application, and you will learn how to manage thousands of images using Amazon S3 and best-of-class email distribution using Amazon SES.

At the end of the course students will be challenged with a final project where all the course material will need to be used to complete it. Students that finish the final project will be eligible for special future promotions.

If you already know the basics of Python and Flask and you are interested in advancing your knowledge, this course will go over some of the advanced concepts of web application development, architecture design, database modeling and leveraging cloud infrastructure services.

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!

This course will teach you the essential knowledge required to integrate Docker in your everyday development flow. Docker is an easy way for developers to recreate a production-level server cluster locally in their desktop or laptop using very few resources.

A lot of companies and startups are moving to Docker, because it speeds up the development process and reduces the amount of debugging that occurs when they create software against different versions of their operating system and libraries.

The course covers the basic concepts and goes through the setup of different use cases, specifically Flask-related, from a simple web application to MySQL and MongoDB multi-server setups.

At the end of the course students will be able to write solid Dockerfiles and Docker Compose configuration files that will allow them to write software against reliable environments and without the need to install packages like Python, MySQL or MongoDB. Just install the simple Docker client for Windows or Mac and you’re set to go!

If you already know the basics of Flask and you are interested in how to setup Docker containers for their development, this is the course for you.

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.

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.

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.

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.

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

Python programming is one of the most demanded skill sets in today's job market, and for good reason. Python allows you to do just about anything you can think of; web development, data analytics, game development - even controlling robots!

This Python Programming Professional Bundle is designed to get you up to speed with all the major Python skills you need right now. Learn on your own time and at your own pace, just be sure to learn this stuff.

What Can You Learn?

Python Programming for Beginners: If your knowledge of Python and programming is limited – or even non-existent – then this course is the perfect starting point for you. You'll be guided through the installation process and the various features and functions of Python, and then you'll put your knew found knowledge to practical use by solving 'real life' programming problems. Ideal for both programming beginners or experienced programmers new to Python.

Python Web Programming: Python is one of the most concise and easily understood programming languages out there, and one of its most popular applications is the web. This is the definitive python web programming course, designed for programmers, web developers, app creators, and anyone who wants to become 'code literate'. Not only will you acquire an in-depth understanding of the programming language and its application for the web, you'll get hands-on experience building programs too.

Python Game Development: Create a Flappy Bird Clone: As well as web development, data visualisation and analysis, and a host of other applications, Python is a programming language perfectly suited to game development. With this course, you'll learn the easy way. Rather than working through hours of lectures and exercises, you'll literally create a game as you go. Who said picking up new skills can't be fun?

Data Visualisation with Python and Matplotlib: Companies are finally waking up to the benefits that big data and data analysis can have for their business. However, the majority of them lack the know-how to turn this data into something easily understood, readable, and presentable. That's where data visualisation comes in. Using Python in conjunction with Matplotlib, you can create just about any 2D or 3D graphs, bar charts, scatter plots, and more.

Data Analysis with Python and Pandas: Data analysis is one of the most sought-after skills from the biggest companies in the world, and guesses what? Python can be used to do it. Working with Pandas, you'll learn how to import and export data in a wide variety of forms, and organise and manipulate it into whatever way you need. Combined with our Data Visualisation with Python course below, it's all your need to become a genuine data guru.

Learn Python Django from Scratch: If you already have some experience with Python, web development or both, then this is the perfect course to take your expertise to the next level. Working in conjunction with Django you'll create a website from scratch featuring map integration, e-commerce functionality and a host of other complex features. Master this skillset, and you'll be all set to take the web by storm with database-driven yet simple and beautiful sites.

Go Where the Money is

Companies such as Google, Yahoo!, Disney, Nokia, and IBM all use Python. In fact, among programming languages, Python had the largest year-on-year job demand growth — at 19% — as of March 2013. This growth has been increasing ever since. Notably, the overall hiring demand for IT professionals dipped year over year by 5% as of January 2014, except for Python programmers which increased by 8.7%. In New York, Python developers ranked #8 of the most in-demand tech workers, making an average of $106k/year. On the other side of the Atlantic, Python programmers also enjoy a strongly rising demand for their skills .

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

Django is the framework used by some of the biggest websites in the world including Instagram, Pinterest, The Washington Times, Mozilla, and the Public Broadcasting Service. Complex database -driven websites like these need a web application framework – and that's exactly what Django does. Master Python Django and you can create web application, sites with e-commerce functionality, and much much more.

Open a World of Possibilities with Django for Web

Create a website from scratch using Django

Learn Django from beginner through to fully functional levels

Build authentication systems, map integration, web services and more

Test and de-bug your site

Create web applications to solve a multitude of problems and needs

Create Django API, Django E-commerce, and More

This expansive course will take you from beginner level right up to having a thorough working knowledge of Django. Throughout the 52 lectures and 6.5 hours of content, you'll create your own website from scratch using Django and featuring an authentication system, E-Commerce with PayPal and Stripe, Geolocation and map integration and web services. In every section, you'll take a quiz as well putting your new knowledge to practice so that your skills stay with you when you're done.

You'll start by getting to grips with the absolute basics of what Django can do. These sections are slower and more thorough than others so that you gain a solid foundation. After that, you'll begin to build your site, adding a new element with each section of the course. By the end of the course, you'll have fleshed out a fully functional web storefront that's capable of taking orders, processing payments and receiving and displaying input from the user. You'll be surprised at how rapidly you can build complex functionality – that's the true beauty of Django!

This course was created with intermediate Python users in mind, who want to move their expertise onto the web. If you're a beginner developer, you may find this course a little too far beyond your grasp unless you already have experience with another language, or have a working knowledge of Python and programming concepts.

Tools Used

Django:Django creates web applications, specifically software normally backed by a database that includes some kind of interactivity and operates through a browser. It eases the creation of complex database-driven websites with its framework.

Python:Python is one of the most widely used, general purpose programming languages in the world. It emphasises simplicity and readability, and has almost endless uses in all areas from GUI programing to web programming and everything in between.

PyCharm: PyCharm is a smart code editor that supports Python and a number of other languages like JavaScript, CSS and more. It is an Integrated Development Environment that provides code analysis, graphical debugging, intergrated unit testing, and supports web development with Django.

Git:Git is a free and open source version control system, designed to handle both small and large projects with speed and data integrity. It will record changes you make as you build your website so that if you need to recall and earlier version, you can do so easily.

Certificate Exam:The exam is free of charge to students who paid for the course bundle through Stone River eLearning or one of its affiliates or resellers. Students who did not pay for the course bundle but want to take the exam will be charged a $50 registration fee.

This exam is to certify your knowledge of all course material covered in the 'Become A Professional Python Programmer' course bundle. Please note, the exam is cumulative and covers all the courses listed below:

1.Python programming for beginners

2.Python Web Programming

3.Data visualization with python and matplotlib

4.Data analysis with python and pandas

5.Learn Python Django From Scratch

6.Python game development - Create a flappy bird clone

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.

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.

This exam is to certify your knowledge of all course material covered in the 'Become A Professional Python Programmer' course bundle.Please note, the exam is cumulative and covers all the courses listed below:

1.Python programming for beginners

2.Python Web Programming

3.Data visualization with python and matplotlib

4.Data analysis with python and pandas

5.Learn Python Django From Scratch

6.Python game development - Create a flappy bird clone

Fees: This exam is free of charge to students who paid for the course bundle through Stone River eLearning or one of its affiliates or resellers. Students who did not pay for the course bundle but want to take the exam will be charged a $50 registration fee.

Passing Score: A score of 80% or higher is required to pass this exam.

Number of Questions: 90 questions

Allotted Time: 90 minutes

Certification Exam Information

This certification exam is to verify that you have mastered the concepts covered in our Python Game Development - Create a flappy bird clone course.

• Cost: $10 (Free to monthly or yearly subscribers)
• Get a Certificate of Excellence when you pass the exam
• 15 questions
• 15 mins allotted to finish exam
• Pay once, get unlimited retakes until you pass

Certification Exam Information

This certification exam is to verify that you have mastered the concepts covered in our Data Visualization with Python and Matplotlib course.

• Cost: $10 (Free to monthly or yearly subscribers)
• Get a Certificate of Excellence when you pass the exam
• 15 questions
• 15 mins allotted to finish exam
• Pay once, get unlimited retakes until you pass

Certification Exam Information

This certification exam is to verify that you have mastered the concepts covered in our Learn Python Django From Scratch course.

• Cost: $10 (Free to monthly or yearly subscribers)
• Get a Certificate of Excellence when you pass the exam
• 15 questions
• 15 mins allotted to finish exam
• Pay once, get unlimited retakes until you pass

Certification Exam Information

This certification exam is to verify that you have mastered the concepts covered in our Python Web Programming course.

• Cost: $10 (Free to monthly or yearly subscribers)
• Get a Certificate of Excellence when you pass the exam
• 15 questions
• 15 mins allotted to finish exam
• Pay once, get unlimited retakes until you pass

Certification Exam Information

This certification exam is to verify that you have mastered the concepts covered in our Python Programming for Beginners course.

• Cost: $10 (Free to monthly or yearly subscribers)
• Get a Certificate of Excellence when you pass the exam
• 15 questions
• 15 mins allotted to finish exam
• Pay once, get unlimited retakes until you pass