Ryan Chong

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Hi Tomas, very sorry my late response and thank you very much for your information. I installed Anaconda and started to learn Python by using Jupyter notebook. I will check all those link you provided. Thank you very much again.
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Hi Tomas, very sorry my late response and thank you very much for your information. I installed Anaconda and started to learn Python by using Jupyter notebook. I will check all those link you provided. Thank you very much again.

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Are there any recommended Python, R and SQL source code samples which should read for learning purpose and which can be downloaded from GitHub?
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Are there any recommended Python, R and SQL source code samples which should read for learning purpose and which can be downloaded from GitHub?

Programming includes both the specifics of the language you’re using, like Visual Basic, .NET, Java and others, but also the best practices in user experience and interfaces and the management of projects, version control and development. Other programming topics are related to web and cloud development and system and hardware programming.

Programming

Python is a widely used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in other languages. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive set of standard libraries, including NumPy, SciPy, Django, PyQuery, and PyLibrary.

Python

Statistical packages are software titles, such as JMP and GNU Octave, and programming languages, such as MATLAB, R and SAS, that are used to discover, explore and analyze data and suggest useful conclusions, either to learn something unexpected or to confirm a hypothesis. The field includes the design and analysis of techniques to give approximate but accurate solutions to hard problems in statistics, econometrics, time-series, optimization and 2D- and 3D-visualization. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.

Statistical Packages

R is a programming language and environment used primarily for statistical data analysis.

SQL (Structured Query Language) is designed to be used in conjunction with relational database products as of a means of working with sets of data. SQL consists of data definition, data manipulation, and procedural elements. Its scope includes data insert, query, update and delete, schema creation and modification, and data access control.