Table of Contents
Text Editor
Return to EmEditor Recommendation, Windows editors, Linux editors, macOS editors, Cloud IDEs, Comparison of Text editors, Code editors, Programmers tools, DevOps tool, Data Science, Python Data Science, DataOps, Data Cleaning, Python ML - Python DL - Python NLP - Python MLOps, Data Science bibliography, Data Science glossary, Awesome Data Science, Data Science topics
For Big data editing, besides Python data cleaning, I recommend:
- Snippet from Wikipedia: Text editor
A text editor is a type of computer program that edits plain text. Such programs are sometimes known as "notepad" software (e.g. Windows Notepad). Text editors are provided with operating systems and software development packages, and can be used to change files such as configuration files, documentation files and programming language source code.
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IDEs: Cloud Monk's Development PC DevOps Automation via Ansible-Chocolatey-PowerShell-Homebrew-DNF-APT, Development Tools, Cloud IDEs, Visual Studio, VSCode, VsCode Extensions, EmEditor for Big Data, JetBrains and JetBrains IDEs (JetBrains Plugins, AppCode, CLion, DataGrip, DataSpell, GoLand, IntelliJ, Android Studio, PhpStorm, PyCharm, Rider, RubyMine, WebStorm), Blocks, CodeLite, Eclipse, Eclipse Che, NetBeans, RStudio, Xcode, Apple Xcode, Jupyter Notebooks. Text editor, Source-code editor: Emacs, Vim, Vi, GNU nano, Atom Editor, Sublime Text, Brackets, jEdit, LaTeX, Notepad++, Windows Notepad, Edlin, Comparison of text editors, List of text editors, Editor war. (navbar_ide - see also navbar_jetbrains, navbar_vscode)
Data Science: Fundamentals of Data Science, DataOps, Big Data, Data Science IDEs (Jupyter Notebook, JetBrains DataGrip, Google Colab, JetBrains DataSpell, SQL Server Management Studio, MySQL Workbench, Oracle SQL Developer, SQLiteStudio), Data Science Tools (SQL, Apache Arrow, Pandas, NumPy, Dask, Spark, Kafka); Data Science Programming Languages (Python Data Science, NumPy Data Science, R Data Science, Java Data Science, C++ Data Science, MATLAB Data Science, Scala Data Science, Julia Data Science, Excel Data Science (Excel is the most popular "programming language") - Google Sheets, SAS Data Science, C# Data Science, Golang Data Science, JavaScript Data Science, Kotlin Data Science, Ruby Data Science, Rust Data Science, Swift Data Science, TypeScript Data Science, Bash Data Science); Databases, Data, Augmentation, Analysis, Analytics, Archaeology, Cleansing, Collection, Compression, Corruption, Curation, Degradation, Editing (EmEditor), Data engineering, ETL/ ELT ( Extract- Transform- Load), Farming, Format management, Fusion, Integration, Integrity, Lake, Library, Loss, Management, Migration, Mining, Pre-processing, Preservation, Protection (privacy), Recovery, Reduction, Retention, Quality, Science, Scraping, Scrubbing, Security, Stewardship, Storage, Validation, Warehouse, Wrangling/munging. ML-DL - MLOps. Data science history, Data Science Bibliography, Manning Data Science Series, Data science Glossary, Data science topics, Data science courses, Data science libraries, Data science frameworks, Data science GitHub, Data Science Awesome list. (navbar_datascience - see also navbar_python, navbar_numpy, navbar_data_engineering and navbar_database)
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