About me
I am a cross-paradigm, performance driven, Full stack Software Developer. With a passion for learning new languages, paradigms and frameworks, I can adapt to any team. Excelling in both collaborative and independent environments, I write clean, maintainable code to ensure future organizational success.
Employment
PyCharm Editor includes a special shorthand and provides tag completion for HTML. Emmet It includes various features such as abbreviation preview, automatic URL recognition and edit points, for HTML and CSS files.The user interface of the settings section is shown in the screenshot given below −. All you need to do to create your Flask project is to start PyCharm, select Open, and then choose the top-level directory of your application. PyCharm will create a new project and open it. The left sidebar will now show you a tree structure with all the files in your project. Adding a Run and Debug Configuration.
Heroes 7 for mac. Company: Didgigo
Time Employed: March 2017 - Present
Didgigo is a travel documentation solution for large tour operators globally. Supporting large clients such as Hello World Group, Jonview Canada, Abbey Group Ireland & UK and Tahiti Nui I took Didgigo from approximately 8000 total itineraries to over 135,00. I have managed projects and junior developers, I attended World Travel Mart London 2019 to assist with technical discussions relating to sales. As a fullstack developer I have been in charge of our Kubernetes cluster, nodejs based servers, mobile application and many other aspects of the business. The job has allowed me to understand how developers can enable potential business success and profitability.
Projects
Tripigo (Mobile App)
Tripigo is the Mobile App I produced for Didgigo. A leading edge itinerary viewer, Tripigo is built on Ionic, a hybrid app built using web technologies for iOS and Android. Foreign language support, realtime group chat for tour groups, High quality imagery, curated things to do an see near destinations.
Kubernetes Cluster
I organised, set up and maintained our Kubernetes Cluster on Google Cloud Platform. with 50+ running containers and well over 99.99% uptime it enabled us to prepare for a potential 500,000 documents in 2021
Didgigo API and Import Server
The Didgigo API was produced so we could move away from using a single dedicated server, into a cloud based envorinment. The API enabled external customers to interface directly with Didgigo, aswell as all cloud based systems using the API for general activities. We also interfaced with a number of pieces of Tour Operator software, such as Tourplan and Softrip to automate the import of content (Hotel/Tour content) and production of documentation (Itineraries).
Productivity Suite
The Productivity Suite is and Angular 9 web application to introspect how imports are running. With the ability to be as transparent as possible with regards to how data is transformed from third party systems into the Didgigo data model and see which itineraries have been imported. the entire system has a consistent format so using the system is the same for all Third Party API's.
Previous
Company: Electric Memory IT (EMIT)
Contracted To: Process Systems Enterprise (PSE)
Time Employed: June 2015 - March 2017
I was part of many projects at PSE/EMIT. They challenged me and allowed me to grow as a developer under the guidance of a very good team.
Projects
New Language Engine (NLE)
Using Scala for AST and validation logic, and Antlr4 as our parser and lexer, I collaborate in a team of three to build a fast, immutable, threadsafe and storage efficient language module. I have written most of the Antlr grammars, the parsing logic and a large portion of the language model. Whilst the rest of the team worked on integration with existing code.
Maven to Gradle migration
I led the Gradle migration project. Our build system is rather complex, we have multiple code generation steps, multiple JVM languages being used, extra post-compile tasks (obfuscation and encryption) and multiple repositories. The build was designed to be modular via Gradle plugins. I had to manage other developers such as the CI and Kernel teams. The build had to run fast and support both Windows and Linux.
Flowsheet Routing
Flowsheet routing is the act of ensuring the connection between nodes on a flowsheet are orthogonal. For user-generated projects this could happen on project load and could trigger up to 8 hour GUI freezes. I moved the route calculations off the event dispatch thread (Swing’s GUI thread), ensuring asynchronous execution. I also altered all routing actions so they would be undoable, parallelizable and cancellable.
Past Non Technical Employment
Dick Smith Electronics
Role: Salesman
Time Employed: 2014 - 2015
Countdown Supermarkets
Role: Butchers Assistant/Checkout Operator
Time Employed: 2009 - 2013
Paradise Valley Berry Farm
Role: Raspberry Harvester
Time Employed: 2008
There are a few tricks to getting PyCharm to work with Anaconda. This post demonstrates running a flask web application on Windows 10 with the only Python installation being Anaconda. The source code we will use is a git repository so you will need git installed to proceed. (see https://git-scm.com). The screenshots use PyCharm Edu which is the same as PyCharm Community with the edu-tools plugin. You don’t need this plugin. Also, we do not have the Anaconda plugin which I think is only available for PyCharm Pro.
To begin, run PyCharm. You may need to close any open projects to see the splash screen. (File menu > Close project).
1. You can clone a git repository straight from the splash screen. Click “Get from Version Control”
2. Select “Repository URL” and fill in the details of the repo on github.
Version control: Git
URL: https://github.com/timcu/bpss-prime-minister
Directory: C:Users<username>PyCharmProjectsbpss-prime-minister
Click “Clone” to clone the repository
3. Click “Yes” to open the project directory in PyCharm.
4. Now you need to configure PyCharm to use an Anaconda virtual environment. This is done in “File” > “Settings…” in Windows/Linux or “PyCharm” > “Preferences” in Mac.
5. In settings, select the Project Interpreter for this project. As this is the first project, no Interpreters are currently set up. Click on “Show All…” in the Project Interpreter pull down menu.
6. The list of Project Interpreters is empty, so click on the “+” to create a new one.
7. Be sure to select “Conda Environment” in the left panel. If you were using Python without Anaconda you would select “Virtualenv Environment”. Selecting “System Interpreter” is not best practice because you will pollute the system python installation with custom modules making it difficult to replicate environments on different computers. Rosetta stone for mac os. “Pipenv Environment” is for those who prefer using pipenv to manage environments. This is more a legacy requirement as “Virtualenv Environment”, which these days uses venv rather than virtualenv, can do anything pipenv can do.
Conda environments are stored in the Anaconda root directory. I installed Anaconda for my use only so this directory is C:Users<username>Anaconda3 . If you have installed Anaconda for all users it will probably be C:Anaconda3 .
The conda environment can be called anything you want but I normally call it the same name as the project so I know what it is used for. In this case I have named it “bpss-prime-minister”.
Click “OK” to create the new conda environment. Then click “OK” on the “Project Interpreters” window to return to “Settings”.
8. Click “OK” ensuring the newly created environment is now selected as the Project Interpreter in the pull down menu.
Pycharm Community Flask Run
9. Open Terminal pane by clicking on “Terminal” in the bottom left of the project window. Latest os for mac.
10. In the future, when you open Terminal, it will automatically activate the correct conda environment. It may even activate it now as it has done for me in the screenshot. However, if you opened Terminal before creating the environment, it will be using base environment, indicated by (base) at the beginning of each prompt in Terminal. Activate the new conda environment by typing:
Pycharm Community Flask Debug
After activating, each command line prompt should start with (bpss-prime-minister) .
Now you need to install the library requirements which are stored in requirements.txt. Normally you would type conda install --file requirements.txt or even leave it for PyCharm to automatically install requirements, but in this case conda has problems installing flask_bootstrap and python-dotenv. To solve these issues I have decided to use pip to install all the requirements. PyCharm Terminal has already put me in the correct directory so I can just use the filename without the path.
11. After all the requirements are installed you can launch the app. The first command is a custom command defined by the app to initialise the database. In Terminal type:
The second command launches the app in a dev only web server. In Terminal type:
Pycharm Install Flask
12. You can click on the displayed hyperlink in Terminal, or open a web browser such as Firefox and type in the address.
Flask Pycharm Debug
Congratulations. You are now running a flask web application on your Windows computer using only Anaconda and PyCharm. To stop the application, go back to Terminal and type ctrl-c, by holding down the “Ctrl” key, pressing the “c” key, and then releasing both keys.