Python And Spreadsheets

Many large companies use the Python programming language. The purpose of this link is to pull totals from the separate sheets into one (which in turn are used elsewhere). csv file in your favorite office program. While there can be no grounds for comparing the two, in this article we set out the many overlapping areas that make. python code. Both environments have the same code-centric developer workflow, scale quickly and efficiently to handle increasing demand, and enable you to use Google’s proven serving technology to build your web, mobile and IoT applications quickly and with minimal operational overhead. But what does Python have to do with that? Python is a game changer when it comes to Excel files because it can automate daunting stuff you might encounter. If you’d like to contribute, fork us on GitHub! This handcrafted guide exists to provide both novice and expert Python developers a best practice handbook to the installation, configuration, and usage of Python on a daily basis. This data can often be used immediately with the correct descriptions of what the different columns mean. As the process is tuned the spread sheet is updated. It was born from lack of existing library to read/write natively from Python the Office Open XML format. Installation. It also can help developers develop android applications. How to read data from excel or spreadsheet file with Python Tuesday, March 08, 2016 conversion , data , excel , python , xlrd No comments We all are used to managing data using Excel sheets or spreadsheets , sometimes it becomes necessary for us to use the data stored in excel sheet for some computations using python. 20 Dec 2017 # import modules import pandas as pd. For this we have to write following code. Python is a wonderful and powerful programming language that's easy to use (easy to read and write) and, with Raspberry Pi, lets you connect your project to the real world. 5 is integer whereas 5. Answers question and provide assistance to stakeholders, customers, and clients as needed. See the Python API reference for more information on individual APIs. Parsing xlsx-file with multiple spreadsheets using Python For the purpose of assisting my team in Bloomberg trading competition, I am writing some Python code. Compare two spreadsheets and get missing records. Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Spreadsheet programs allow the user to easily change the appearance of the spreadsheet, including column width, row height, font color and color of the spreadsheet itself. Create your free Platform account to download our ready-to-use ActivePython or customize Python with any packages you require. Google Setup. About: In this hands-on workshop you will learn how to use Python as an alternative to Excel functions for creating, cleaning, and processing spreadsheets. Lets say you have several. Today, we will see how we can use google spreadsheets as our database, like if you are creating some internal app and you think you might need a database then you are wrong. Tools for creating and formatting spreadsheets with Python and OpenPyXL 13 commits 1 branch 1 release Fetching contributors LGPL-3. The Gnumeric spreadsheet has a plugin which lets you define spreadsheet functions in Python. Examples Reading Excel (. But it is possible to use Excel spreadsheet much like a database to stored data. txt A1 A2 A3 A4 A5 A6 A7 A8 A9 A10 A11 A12 A13 A14 A15 A16 A17 A18 A19 A20 A21 A2. Its rapid rise in popularity is supported by comprehensive, largely open-source, contributions from scientists who use it for their own work. Now, a pair of MIT students have created an plug-in alternative to VBA called IronSpread, which uses the cross-platform Python scripting language. There are a couple of ways to create Microsoft Excel spreadsheets with Python. Working with Spreadsheets in Python | DevDungeon. Just as a vanilla Python interpreter simply takes this data and interprets it as commands, or a word processing program takes a file format and interprets it as formatted text, the spreadsheet file contains data which is interpreted by the Python Spreadsheet program. Additionally, here is a link to more tutorials using spreadsheets combined with various python libraries (we used openpyxl above). I have a at least one spreadsheet (actually more) that is linked to others. 2 and I am running it on OSX 10. Ask Question Asked 7 years, 3 months ago. The first of these is a tool called Inference. Reasons for success. The Moving Average Convergence Divergence (or MACD) indicator is a powerful momentum-based trading indicator. In this article, I’ll be showing you how to read and write to Google Sheets using Python. If this fails, copy the URL from the console and manually open it in your browser. For example, you might have the boring task of copying certain data from one spreadsheet and pasting it into another one. Introduction to spreadsheets. DHT Humidity Sensing on Raspberry Pi or Beaglebone Once we have that working, we add the fun of Python to update a google spreadsheet live with the. Open the Python Console by going to Plugins ‣ Python Console. Use this Python code. Learn more from the blog post at https://www. 2 and I am running it on OSX 10. Spreadsheets are an excellent tool that proved their usefulness for decades in different contexts. xlsx file using a package called xlrd. Microsoft is considering adding Python as one of the official Excel scripting languages, according to a topic on Excel's feedback hub opened last month. Essential Reading: Learn React from Scratch. Compare two spreadsheets and get missing records. Open a spreadsheet by its title or url. It helps you to create programs to create and modify files and automate your processes in excel. Today, we will see how we can use google spreadsheets as our database, like if you are creating some internal app and you think you might need a database then you are wrong. For the distance parameter, instead of just using a number like '1000', the script would point to a value in a cell of a spreadsheet (libre or open office preferred). Example C# app will call a python script by sending 2 arguments and will read/consume output of the script. py - a simple Python tool that searches for text strings in OpenOffice. The example Sheet we're getting the data from for this script looks like this:. Thus, the content of your spreadsheet can be processed with XSLT. Python is an extremely powerful language with an extensive ecosystem of 3rd party libraries. argv[0], which contains the Python script's filename. Sign in - Google Accounts. Provided by Data Interview Questions, a mailing list for coding and data interview problems. This section covers the basics of how to install Python packages. I have a spreadsheet in my hand that has the Name, Address, and E-mail of 10,000 (Ten thousand, read that aloud) people. You know how to develop and debug a program. Air-Water Properties (Updated: 3/2/2018). XlsxWriter is a Python module for creating Excel XLSX files. GUI Programming in Python. 7 is now available at PyPI, with some additional files at Extras. Python scripts are present in various locations detailed hereafter. Once you get the model working, then export the model as a script (Model > Export > To Python Script). 1 HTML PDF] Mod_python is an Apache module that embeds the Python interpreter within the server. Everybody's changes are instantly reflected on all screens. The service presented here was originally created for a friend of mine who works in Megacorp Inc. But I had the opportunity recently to write a script in Python and remembered how much I love that language. Posts about spreadsheet written by DK. The language was designed and written with readability in mind. Read Excel File. Greetings, Earthling! Welcome to The Hitchhiker’s Guide to Python. It is also available for Python3 and should also be compatible with this one. I even decided to include new material, adding. If you’re interested in using Python to supercharge your Excel spreadsheets, PyXLL is currently the only package that enables developers to write fully featured Excel addins in Python. If you choose the full installer, you will get all the modules you need, along with Python and pandas within a single package. To use a specific version of Python in your pipeline, add the Use Python Version task to azure-pipelines. Also from Resolver is a "programmable cloud spreadsheet" called Dirigible, still in beta at the moment. Python 3 support. Now we will start reading excel file in python. ) XlsxWriter. Try my machine learning flashcards or Machine Learning with Python Cookbook. I have a spreadsheet in my hand that has the Name, Address, and E-mail of 10,000 (Ten thousand, read that aloud) people. This course will cover how to work with spreadsheets (including Excel) using Python. Read, write, and delete data from a Google Spreadsheet using Python and the gspread module, nice for building a quick CRUD app with Google Sheets as a backend. Now, a pair of MIT students have created an plug-in alternative to VBA called IronSpread, which uses the cross-platform Python scripting language. Spreadsheets are really not that difficult to make with Python. Do you know how a spreadsheet works? Can you imagine building one, from scratch, in Python? This talk will be a whirlwind overview of how to do just that. About: In this hands-on workshop you will learn how to use Python as an alternative to Excel functions for creating, cleaning, and processing spreadsheets. 2 release, you can use the xlrd and xlwt python modules to read and write Excel spreadsheets. Spreadsheets for use in teaching Heat Transfer. I’ve written a fair number of Python scripts that interface with Excel through the Windows COM interface, but for many tasks you don’t need to invoke Excel to operate on spreadsheet data. XlsxWriter is a Python module that can be used to write text, numbers, formulas and hyperlinks to multiple worksheets in an Excel 2007+ XLSX file. Collect information for and prepare payroll payments for employees. com/ricklamers/gridstudio. This tutorial assumes you are a Windows or Mac user with minimal programming experience. This difference can be attributed to Python's built-in high-level data types and its dynamic typing. First we discuss some of the keywords used in Python excel relationship which are used in openpyxl programming for excel. There are a couple of ways to create Microsoft Excel spreadsheets with Python. Spreadsheets are an excellent tool that proved their usefulness for decades in different contexts. This tutorial shows how to prepare your local machine for Python development, including developing Python apps that run on Google Cloud Platform (GCP). Support for the Python 3. xlsx file using a package called xlrd. (2) Connecting Python to Google Sheets, writing a dataframe. py or Python/makeopcodetargets. I'll show you how to use OpenPyXL to work with that data in a way that's better than using. What are “class methods” and “instance methods”, in Python? An "instance method" uses the information contained in the instance to figure out what value to return (or which side-effect to do). One of the enhancement suggestions I got was to add the ability to extract all the sheets and/or a specific sheet rather than always extracting the first sheet. One of the useful features is that the forms will automatically save your data to a Google Sheet. After the #! shebang line and import statements, the program will check that there is more than one command line argument. Learn how to read from and write to a Google Spreadsheet using Python and the Google Spreadsheets API through this step-by-step tutorial. Creating your base log. The Gnumeric spreadsheet has a plugin which lets you define spreadsheet functions in Python. The Python code to extract the data from a spreadsheet and insert it into the SQLite database is included below. Here are a few examples of how well spreadsheets and Python can go together: 1. It’s handled natively in the language, albeit in a unique manner. These libraries seamlessly interface with our enterprise-ready Deployment servers for easy collaboration, code-free editing, and deploying of production-ready dashboards and apps. The OpenDocument Format that is used by default in Openoffice Calc is a ZIP compressed archive, which contains XML data. (2) Connecting Python to Google Sheets, writing a dataframe. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Spreadsheets are really not that difficult to make with Python. This document provides examples of different things that can be done in emacs org-mode files. This course will teach you how to write Python code, auto-generate spreadsheets with xlsxwriter, scrape websites with Beautiful Soup, and more. The so-called CSV (Comma Separated Values) format is the most common import and export format for spreadsheets and databases. It enables easy access to Python scripts from Excel VBA, allowing you to substitute VBA with Python for complex automation tasks which would be facilitated by Python's extensive standard library. The CSV format is the most commonly used import and export format for databases and spreadsheets. Python streaming pipeline execution is experimentally available (with some limitations) starting with Beam SDK version 2. NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Tkinter does not have a fancy spreadsheet like widget like wxPython. Spreadsheets are really not that difficult to make with Python. Users can put words or numbers into the cells to make headings and store information. XLSX format lets you resize columns, add images, and use formulas to perform calculations. Hi, i am new to this Forum (and Python). However, you could create a matrix of Entry widgets and go from there. disk, HTTP, database, or any socket). Before parsing spreadsheets, you must understand how they are structured. This section will describe how to obtain Gnumeric, install it and get things configured correctly for access with Python. It shows a large sheet (like a sheet of paper) that has many cells in a grid of rows and columns. A cell is a location at the intersection of a particular row and column, and may contain a data value. This book teaches the OOoBasic language and the Calc object model, so that you can. There is no “CSV standard”, so the format is operationally defined by the many applications which read and write it. • Improved recordkeeping efficiency by creating automated spreadsheets using Microsoft Excel to track the number of Ontario Savings Bond sales sold at branches province-wide and calculate commissions • Helped meet service level agreements and improve customer ratings by processing high volumes of incoming wires. Pyuno being the Python interface to the OpenOffice runtime. A script that looks like. You can hone your skills even further with The. However, you could create a matrix of Entry widgets and go from there. For more information on how to use Github, check out this guide. For example, reading, writing or modifying the data can be done in Python. Python type safety. Anaconda on Windows comes ready to interact with Microsoft Excel–quickly, intuitively and powerfully. Python SQL SQLite Tableau You can start with either a blank spreadsheet or you can start with one of Google's spreadsheet templates such as the to-do list, one of the budget templates, or a. Beginners and Mac people (Windows people needs to have Python installed and set up first) Any Mac, a text editor (I recommend Atom) and persistence You …. But it is possible to use Excel spreadsheet much like a database to stored data. Use this Python code. 20 Dec 2017 # import modules import pandas as pd. Explore, code, create. Ball Python Spreadsheets? If this is your first visit, be sure to check out the FAQ by clicking the link above. The XML Spreadsheet generated by Tutorial 32 is imported, some data is modified and after that is exported as Excel file. If you ever need to extract results data from Google search, there’s a free tool from Google itself that is perfect for the job. Author: Tony Roberts, creator of PyXLL, a Python library that makes it possible to write add-ins for Microsoft Excel in Python. Take Aways. Today we will be looking at how we can read an *. Open a spreadsheet by its title or url. Master Python loops to deepen your knowledge. Sign in - Google Accounts. How can I find the information about how man cells I am using in a Google Sheets spreadsheet? Stack Exchange Network Stack Exchange network consists of 175 Q&A communities including Stack Overflow , the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. ZK is the leading open source Ajax + Mobile Java Web framework integrating jQuery, Spring, JPA, Hibernate, JavaEE, Grails, Scala and many more. Python, working with Excel spreadsheets. Provided by Data Interview Questions, a mailing list for coding and data interview problems. This happens when you want to use extensive formulas or even… source. The csv module in Python's standard library presents classes and methods to perform read/write operations on CSV files. Creating an Excel Spreadsheet with Python. Feel free to post your comments. Read Excel File. Users can put words or numbers into the cells to make headings and store information. Hiero Spreadsheet CSV Export - Python - Hiero This code adds an action to Hiero's Spreadsheet view, allowing you to export the contents of the Spreadsheet as a. Spreadsheets are really not that difficult to make with Python. Creating an Excel Spreadsheet with Python Excel is (obviously) a proprietary format, but it tries its best to be open (sort of). Sign In to O'Reilly. Viewed 791 times 0. Python 3 support. Save the JSON file wherever you're hosting your project, you'll need to load it in through Python later. On the context menu to analyze files, make sure that non-python files are not analyzed (#PyDev-1008). Now, you want to export those same objects into a spreadsheet. For example, to get a unique collection of elements in a list: list(set(my_list)) will do it. Microsoft ® Excel can be utilized to quickly generate the Python™ script that is required to load values into PIPE-FLO via Data Import. Spreadsheets for use in teaching Heat Transfer. The Resolver One spreadsheet is no longer supported. Tkinter does not have a fancy spreadsheet like widget like wxPython. The service presented here was originally created for a friend of mine who works in Megacorp Inc. "scrub" or "clean" a datafile using Python 3; parse the text data file into an MS-Excel, Google Sheet, or Libre Office spreadsheet; produce statistical results based on the data using the database functions in the spreadsheet program of your choice. For example, you might have the boring task of copying certain data from one spreadsheet and pasting it into another one. Read a spreadsheet file (csv) If you created a csv file, we can read files row by row with the code below:. Load Excel Spreadsheet As pandas Dataframe. The goal of pyspread is to be the most pythonic spreadsheet. I even decided to include new material, adding. Python has a broad range of tools for data analysis and visualization. Importing Spreadsheets or CSV files (QGIS3)¶ Many times the GIS data comes in a table or an Excel spreadsheet. Learn how to calculate and plot MACD in Excel, and start making better trading decisions. It can also interface with databases such as MySQL, but we are not going to cover databases in this tutorial. This course will cover how to work with spreadsheets (including Excel) using Python. The code and data for this tutorial can be found in this Github repository. EXCELPY is an auxiliary module that provides python functions to create, populate and format excel spreadsheets with any data. 2 and I am running it on OSX 10. The CSV module is part of the standard python package, and converting an excel spreadsheet to csv is a completely painless process. Here is the result. The example Sheet we're getting the data from for this script looks like this:. Excel reports can be instantly generated by R or Python (and others) to allow business people to play with. Try my machine learning flashcards or Machine Learning with Python Cookbook. First, we will complete our analysis using spreadsheets because spreadsheets are the most widely used tool for data analysis. These are very common. Add google drive API…. The output is a. Creating Excel files with Python and XlsxWriter. I will be demonstrating how to use the xlwt package for working with spreadsheets. Excel reports can be instantly generated by R or Python (and others) to allow business people to play with. Collect and analyze data. Try my machine learning flashcards or Machine Learning with Python Cookbook. Export a Google Spreadsheet using python. First, we will complete our analysis using spreadsheets because spreadsheets are the most widely used tool for data analysis. For example, to get a unique collection of elements in a list: list(set(my_list)) will do it. Data Entry & Excel Projects for $250 - $750. 0 beta 4 python Spreadsheet torrent or any other torrent from the Applications Windows. "scrub" or "clean" a datafile using Python 3; parse the text data file into an MS-Excel, Google Sheet, or Libre Office spreadsheet; produce statistical results based on the data using the database functions in the spreadsheet program of your choice. Compare two spreadsheets and get missing records. This is the easiest and fastest way to get started. Being in possession of extracted information from real estate sites such as Zillow. The package xlwt supports the . Spreadsheets are frequently utilized to take care of data. Pyspread expects Python expressions in its grid cells, which makes a spreadsheet specific language obsolete. Spreadsheet file created in Python. Microsoft ® Excel can be utilized to quickly generate the Python™ script that is required to load values into PIPE-FLO via Data Import. It is highly recommended if you have a lot of data to analyze. Of course, the Python CSV library isn't the only game in town. At the same time, it's pretty easy to create a comma-separated file from Python. This how-to will help you do it with a Python recipe. No‑deploy, no‑maintenance. For example, you might have the boring task of copying certain data from one spreadsheet and pasting it into another one. Last released: Sep 6, 2012 A simple Python wrapper for the Google Spreadsheets API. Use Python, Build On Top of Theano and TensorFlow …and boost your progress 1000% by using Keras. This example shows the computational power of Python by performing a Monte Carlo simulation of the price development of a financial asset. Using Google Spreadsheets with Python opens possibilities like building a Flask app with a spreadsheet as the persistence layer, or importing data from a Google spreadsheet into Jupyter Notebooks and doing analysis in Pandas. 10 (Installation)python-docx is a Python library for creating and updating Microsoft Word (. """ Do a nasty thing before exiting the python process. Amongst others we are having issues with the login process in a VBA script. In Python, command line arguments are stored in the sys. How can I find the information about how man cells I am using in a Google Sheets spreadsheet? Stack Exchange Network Stack Exchange network consists of 175 Q&A communities including Stack Overflow , the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. Using Python to Parse Spreadsheet Data. Do you know how to connect Google Sheets API in Python? Have you ever had an awesome idea about using Google Sheets in a Python app? It sounds like an excellent plan to keep your app data in Spreadsheets. Every day, millions of workers head into the office and open up a spreadsheet, a workbook, or a series of workbooks to accomplish routine tasks. Today we will be looking at how we can read an *. This happens when you want to use extensive formulas or even… source. xls) files using the xlwt package. In this post we'll use openpyxl, which allows you to work easily with Excel spreadsheets. Python logging for maximum output and maximum speed. This course will provide a gentle, yet intense, introduction to programming using Python for highly motivated students with little or no prior experience in programming. View the Project on GitHub grisha/mod_python [Docs 3. That is, mathematical expressions are evaluated in the following order (memorized by many as PEMDAS), which is also applied to parentheticals. Today we will be looking at how we can read an *. This section will describe how to obtain Gnumeric, install it and get things configured correctly for access with Python. This example shows the computational power of Python by performing a Monte Carlo simulation of the price development of a financial asset. On the context menu to analyze files, make sure that non-python files are not analyzed (#PyDev-1008). XlsxWriter is a Python module for writing files in the XLSX file format. The best thing to do is to start with the Python on Debian wiki page, since we inherit as much as possible from Debian, and we strongly encourage working with the great Debian Python teams to push our changes upstream. And good luck!. However, Python programming provides more flexible and more scalable analysis options than spreadsheets, so we will complete the analysis using Python and the Pandas library. Google Spreadsheets Python API. Even as a business user, it's hard to read and interpret someone else's spreadsheet. Now imagine a data scientist, who has never worked with Excel spreadsheets. The xlrd package can be run on Linux and Mac as well as Windows. Creating an Excel Spreadsheet with Python Excel is (obviously) a proprietary format, but it tries its best to be open (sort of). Here's an example spreadsheet that you might want to update from a script: I did some searching and found this page , which quickly led me to the Python Developer's Guide for the Google Spreadsheet API. getSheets ( ). It is very powerful when it comes to working with spreadsheets, tables, charts, etc. Parsing xlsx-file with multiple spreadsheets using Python For the purpose of assisting my team in Bloomberg trading competition, I am writing some Python code. The course is now hosted on a new TradingWithPython website, and the material has been updated and restructured. Spreadsheet Link™ connects Excel ® spreadsheet software with the MATLAB ® workspace, enabling you to access the MATLAB environment from an Excel spreadsheet. It is probably a little more difficult to learn Python and Dash from scratch when compared to R and Shiny, but this might be the right choice for someone familiar with Python. Examples Reading Excel (. Solution is temporary, and the spreadsheet will not need maintenance. getSheets ( ). See the complete profile on LinkedIn and discover KUMAR’S connections and jobs at similar companies. A spreadsheet file is a collection of sheets and each sheet is a collection of data cells placed in a grid, similar to a. Tkinter does not have a fancy spreadsheet like widget like wxPython. Libreoffice Spreadsheet Tutorial Pdf This is a downloads page for official LibreOffice documentation as provided by the documentation team. xlrd module. This Python 3 tutorial covers how to read CSV data in from a file and then use it in Python. Spreadsheet files are often used to share interesting & important data. Python syntax is very clean, with an emphasis on readability, and uses standard English keywords. For the transform, we will be looking at obtaining Customers who we spoke to before a certain date. The spreadsheet consists of several worksheets. I would trigger e-mail notifications when new records are added to a Google spreadsheet, when a specific Column is populated with a particular string. Pandas - Python Data Analysis Library. This book teaches the OOoBasic language and the Calc object model, so that you can. The Python module is currently focused on Calc and can be used to create OpenDocument Format Calc spreadsheets. Installation. Pyspread expects Python expressions in its grid cells, which makes a spreadsheet specific language obsolete. Sheetster provides total control of your code, deployment options, and data without compromise. Install the latest version of Python. The Open Source Initiative® (OSI), the global non-profit formed to educate about and advocate for the benefits of open source software, development, and communities, is proud to announce the affiliate membership of the Open Preservation Foundation (OPF). Many, but not all, have involved spreadsheets, the workbench of many a finance professional. Free: Gnumeric and its source code are available free of charge, licensed under the terms of the GNU General Public License version 2 or version 3. The Python programming language is widely used in the data science community, and therefore has an ecosystem of modules and tools that you can use in your own. Here is the beginning of a simple Tkinter based spreadsheet program: # the beginning of a simple. The user can choose to work with or print a whole spreadsheet or specify a particular area, called a "range". After that, we'd need to do some post processing to get the format we want:. View KUMAR GAURAV’S profile on LinkedIn, the world's largest professional community. Both environments have the same code-centric developer workflow, scale quickly and efficiently to handle increasing demand, and enable you to use Google’s proven serving technology to build your web, mobile and IoT applications quickly and with minimal operational overhead. We are pleased to announce “Aspose. OpenOffice or LibreOffice ? OpenOffice and LibreOffice are the main open-source office suites, the opensource equivalent to Microsoft Office, to create text document, spreadsheets, presentations and drawings. com" email listed. At the end of your workflow in Dataiku DSS, you might want to export a dataset to a Google Spreadsheet document. If you already have xlrd module installed on your computer then go ahead with this section other wise install the module having a look from here: The xlrd python module for reading excel spreadsheets - Installation. From your Python program you can connect to a running office suite that has been started in listening mode. txt A1 A2 A3 A4 A5 A6 A7 A8 A9 A10 A11 A12 A13 A14 A15 A16 A17 A18 A19 A20 A21 A2. There are a couple of ways to create Microsoft Excel spreadsheets with Python. But, in the data science industry, Python is fast picking up as a competing tool against Excel. It is written entirely in IronPython, and directly exposes end-users to Python, both as expressions in cell formulae, and as an embedded scripting language which provides programmatic access to spreadsheet content. This is mostly convenient to generate reports in HTML or simple web applications in lightweight frameworks such as CherryPy. Convert Python Classes to Excel Spreadsheet. Be aware that we tested this how-to only with small datasets. If you are not already logged into your Google account, you will be prompted to log in. For this we have to write following code. For additional information on the Web Services for Python Project see the Source Forge project page. Creating your base log. Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. ExcelPython is a lightweight, easily distributable library for interfacing Excel and Python. If you are already familiar with Python and have your own preferred Python Editor, you can skip the introductory section and start reading the section "Importing JSON Files". Here is a link to an example of how to append. csv file in your favorite office program. The code and data for this tutorial can be found in this Github repository. What are “class methods” and “instance methods”, in Python? An "instance method" uses the information contained in the instance to figure out what value to return (or which side-effect to do). The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under  Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: