Table of Contents 1 if Statements2 if…else Statement3 if…elif…else Statement4 Nested if statements5 Practice6 Iterables and Iterators7 while Loops8 for Loops9 range()10 enumerate¶11 The break statement12 The continue statement13 Python pass statement14 Comprehensions14.1 comprehension for lists14.2 comprehension for dictionaries14.3 comprehension for sets15 Errors Handling: try except and finally16 Memory Management in Python Iterations if,elif, else Statements for Loops while Loops range() functions break and continue statements pass statement enumerate comprehesions if Statements The colon (:) separates the header of the compound statement from the body.
In this blog post we will be going to discuss about python basics in detail Python is multi-purpose programming language developed by Guido van Rossum. The language has easy-to-use syntax, it’s a perfect language for someone trying to learn any programming for the first time. This is a comprehensive guide on Basic fundamentals concepts which we are keep in mind before writing code. Table of Contents 1 Basics1.1 print() function:1.2 comment with # symbol:2 Operators3 Primitive Data Types3.
A guide to getting up and running with blogdown, GitHub, and Netlify
dplyr - Data Mainpulation Package Intorduction Most of the data scientists spend 80% of their time on data preparation for a given project also known as wrangling or cleaning or simply we can say data manipulations, so dplyr is one of the most popular package which can help R users to solve on preparing or manipulating the dataset before going for actual analysis or modeling. some of those operations such as selecting required columns, adding a new column, filtering required observations, or even some of the tasks like sorting or aggregating
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This is an R Markdown Notebook. When you execute code within the notebook, the results appear beneath the code. Try executing this chunk by clicking the Run button within the chunk or by placing your cursor inside it and pressing Ctrl+Shift+Enter. hello plot(cars) Add a new chunk by clicking the Insert Chunk button on the toolbar or by pressing Ctrl+Alt+I. hello1 When you save the notebook, an HTML file containing the code and output will be saved alongside it (click the Preview button or press Ctrl+Shift+K to preview the HTML file).
dplyr - Data Mainpulation Package Intorduction Most of the data scientists spend 80% of their time on data preparation for a given project also known as wrangling or cleaning or simply we can say data manipulations, so dplyr is one of the most popular package which can help R users to solve on preparing or manipulating the dataset before going for actual analysis or modeling. some of those operations such as selecting required columns, adding a new column, filtering required observations, or even some of the tasks like sorting or aggregating
Sample Post from R Notebook code{white-space: pre;} div.sourceCode { overflow-x: auto; } table.sourceCode, tr.sourceCode, td.lineNumbers, td.sourceCode { margin: 0; padding: 0; vertical-align: baseline; border: none; } table.sourceCode { width: 100%; line-height: 100%; } td.lineNumbers { text-align: right; padding-right: 4px; padding-left: 4px; color: #aaaaaa; border-right: 1px solid #aaaaaa; } td.sourceCode { padding-left: 5px; } code span.kw { color: #007020; font-weight: bold; } /* Keyword */ code span.
2017-09-25-Python-Basics pre { line-height: 125%; } td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; } span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; } td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; } span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; } .highlight .hll { background-color: var(–jp-cell-editor-active-background) } .highlight { background: var(–jp-cell-editor-background); color: var(–jp-mirror-editor-variable-color) } .highlight .c { color: var(–jp-mirror-editor-comment-color); font-style: italic } /* Comment */ .
2023-02-10-Data-Structures-in-Python pre { line-height: 125%; } td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; } span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; } td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; } span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; } .highlight .hll { background-color: var(–jp-cell-editor-active-background) } .highlight { background: var(–jp-cell-editor-background); color: var(–jp-mirror-editor-variable-color) } .highlight .c { color: var(–jp-mirror-editor-comment-color); font-style: italic } /* Comment */ .