Not only Jupyter. Google Colab, R Markdown, and much more.
Interactive notebooks are experiencing a rise in popularity. Why?
Simply because it’s a great teaching environment, powerful, shareable, and provides the ability to perform data visualization in the same environment. Which interactive notebooks should I use? I recommend:
- The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.
- Colaboratory is a free Jupyter notebook environment that requires no setup and runs entirely in the cloud.
Both of them support
- Markdown which is a markup language that is a superset of HTML.
- Latex to render mathematical…
PYTHON
You don’t have to write codes from scratch.
When we start a project, we often need the help of some libraries and modules to overcome some problems and accelerate the workflow.
Fortunately, Python has plenty of useful built-in modules, as well as third-party libraries and modules for different use cases. In this article, we’ll look, and study, only some interesting built-in modules, which are very beneficial for your projects.
1. re — Regular expression operations
Regular expressions are used in almost all languages. It is a very powerful tool that allows you to check if the content of a variable has the form of what you expect.
A RegEx, or Regular Expression, is a…
VPython
Simulate complex physics equations
Introduction
Physical science is based on simplifications and approximations: orbits are always circular, projectiles fly without air resistance, pendulums swing only at small angles. These kinds of simplifications are necessary and appropriate when you’re first trying to understand the basic laws of nature, (those approximations are useful, we lose a little precision, contrariwise we save a lot of time (for example the approximation used in the magnetic moment), but the real world is far more complex and interesting. Because the ultimate goal of physics is to understand the real world.
Fortunately, computers make it possible to perform extremely lengthy calculations in…
SQL | PYTHON | RELATIONAL ALGEBRA
Understand SQL, Relational Algebra, Relational Databases, and SQlite3 for Python
Plan
- Basic concepts and terminology.
- Creation of a relational schema with SQL (DDL).
- Relational algebra.
- Aggregation functions.
- DML (Data Manipulation Language).
- DQL (Data Query Language) (SELECT query).
- Access to databases with Python (sqlite3 module).
Basic Concepts and Terminology
DATA ANALYSIS
Descriptive statistics is crucial before the process of inferential
Table of contents
- Introduction
- Data types
- Analyzing Quantitative Data
I. Measures of Center
II. Measures of Spread
III. Shape of distribution
IV. Outliers - Descriptive vs. Inferential Statistics
- Looking Ahead
- Summary
Introduction
The word “data” is defined as distinct pieces of information. You may think of data as simply numbers on a spreadsheet, but it can come in many forms from text to videos to spreadsheets and databases to images to audio … Utilizing data is the new way of the world. Data is used to understand and improve nearly every facet of our lives, from early disease detection to social networks that allow us…
DATA SCIENCE
With examples from the world of Data Science
Table of contents
- What’s Recursion?
- Recursion in Programmation
- Examples from the worlds of Data Science
- Conclusion
What’s Recursion?
Recursion is a concept that refers to itself in its operation. This is found in all artistic fields: literature (mise en abyme), painting, photography …
A physical world example would be to place two parallel mirrors facing each other. Any object in between them would be reflected recursively.
We use recursion every day when we define words! Indeed, we use words to define others, themselves being defined by other words!
Recursion in Programmation
In programming, it’s a function that refers to itself. Two functions can call each other, this is…
Wirecard collapse and EY at the heart of the affair
Since Friday 25 July 2020, all operations were prohibited after the bankruptcy of the German giant of online payments Wirecard.
Wirecard, a company with multiple activities
There are two major countries for Wirecard. First, in the United Kingdom where we can find the company “Wirecard Card Solutions Ltd (WDCS)” but also “Wirecard Bank AG”. Then there is a company in Germany which is also called “Wirecard Bank AG” and another called “Wirecard AG”.
The Wirecard Galaxy in Europe
- Wirecard AG (DE): is a company listed on the Frankfurt Stock Exchange. At the last count in 2019, it has 5,154 employees.
- Wirecard Bank AG (DE): This company has been part of the…
All you need to know about the GitHub Satellite 2020
What’s GitHub?
Github is a platform that helps developers around the world to work and collaborate with each other, it’s also the biggest source of open-source projects…
What‘s GitHub Satellite?
GitHub Satellite is an annual international event — actually, it’s the largest developer event outside the US, that brings big ideas, free product talks, protips for developers and especially for teams, workshops.
Do I need to register?
No action is required to join the event, just save the date: May 6. But you have to register in case you want to join a workshop session on May 7.
Why everyone is invited to GitHub Satellite 2020
Data Science
Understand Data Science and Data Types (Structured, Unstructured …)
Table of contents
- What’s Data Science?
- Is Data Science a New Filed?
- Types of Data
- Data Formats/Sources
- Summary and Conclusion
What’s Data Science?
Data science is the study of large quantities of data. Like biological sciences is a study of biology, physical sciences, it’s the study of physical reactions. It is the process of using data to understand different things, to understand the world.
Data science is a field about manners to extract data from various forms of whether it is unstructured or structured form. It’s a multi-disciplinary field that brings together concepts from computer science, mathematics/ statistics, and data analysis.
The heart of data science…
Python
Increase your Productivity with Python
Table of contents
- Introduction
- Python Virtual Environment
- Python Interactive Shell
- Python Debugger
- Lambda Function λ
- List and Dict Comprehension
Introduction
What is Python?
Python is a popular interpreted, object-oriented, high-level programming language that can be used for a wide variety of applications: software development, web development (back-end), mathematics, data science …
A good developer will always seek to increase his productivity over time.
So let me tell you, the 5 tips and tricks that made my Python-life easier.
1. Python Virtual Environment:
A big part of the reason Python is so dominant is because of how many good libraries it has. In fact, Python has so many good math (NumPy), Statistics…
