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.
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
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?
What am I going to get from this course?
What is the target audience?
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.
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.
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
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.
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.
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.
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.
Python programmers are some of the most sought-after employees in the tech world, and Python itself is fast becoming one of the most popular programming languages. One of the best applications of Python however is data analysis; which also happens to be something that employers can't get enough of. Gaining skills in one or the other is a guaranteed way to boost your employability – but put the two together and you'll be unstoppable!
Become and expert data analyser
Python data analytics made Simple
This course contains 51 lectures and 6 hours of content, specially created for those with an interest in data analysis, programming, or the Python programming language. Once you have Python installed and are familiar with the language, you'll be all set to go.
The course begins with covering the fundamentals of Pandas (the library of data structures you'll be using) before delving into the most important functions you'll need for data analysis; creating and navigating data frames, indexing, visualising, and so on. Next, you'll get into the more intricate operations run in conjunction with Pandas including data manipulation, logical categorising, statistical functions and applications, and more. Missing data, combining data, working with databases, and advanced operations like resampling, correlation, mapping and buffering will also be covered.
By the end of this course, you'll have not only have grasped the fundamental concepts of data analysis, but through using Python to analyse and manipulate your data, you'll have gained a highly specific and much in demand skill set that you can put to a variety of practical used for just about any business in the world.
Python: Python is a general purpose programming language with 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.
Pandas: Pandas is a free, open source library that provides high-performance, easy to use data structures and data analysis tools for Python; specifically, numerical tables and time series. If your project involves lots of numerical data, Pandas is for you.
NumPy: Like Pandas, NumPy is another library of high level mathematical functions. The difference with NumPy however is that was specifically created as an extension to the Python programming language, intended to support large multi-dimensional arrays and matrices.
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.
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.
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.
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.
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
This certification exam is to verify that you have mastered the concepts covered in our Python Game Development - Create a flappy bird clone course.
This certification exam is to verify that you have mastered the concepts covered in our Data Visualization with Python and Matplotlib course.
This certification exam is to verify that you have mastered the concepts covered in our Data Analysis with Python and Pandas course.
This certification exam is to verify that you have mastered the concepts covered in our Learn Python Django From Scratch course.
This certification exam is to verify that you have mastered the concepts covered in our Python Web Programming course.
This certification exam is to verify that you have mastered the concepts covered in our Python Programming for Beginners course.