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Commit d3ffe40

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1 parent aa92934 commit d3ffe40

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2 files changed

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‎6. Data structures.ipynb‎ renamed to ‎5. Data structures.ipynb‎

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"\n",
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"![](images/immutable.jpg)\n",
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"\n",
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"- Tuples are faster than lists. If you're defining a constant set of values and all you're ever going to do with it is iterate through it, use a tuple instead of a list.\n",
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"- **Storage:** In CPython, tuples are stored in a single block of memory, so creating a new tuple involves at worst a single call to allocate memory. Lists are allocated in two blocks: the fixed one with all the Python object information and a variable sized block for the data. \n",
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"\n",
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"- **Indexing:** Tuples are faster than lists. Tuples directly reference their elements where as lists have an extra layer of indirection to an external array of pointers.\n",
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"\n",
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"- It makes your code safer if you "write-protect" data that does not need to be changed. Using a tuple instead of a list is like having an implied assert statement that this data is constant, and that special thought (and a specific function) is required to override that."
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"- **Safety:** It makes your code safer if you "write-protect" data that does not need to be changed. Using a tuple instead of a list is like having an implied assert statement that this data is constant, and that special thought (and a specific function) is required to override that.\n"
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]
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},
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{
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"args, kwargs and call by object"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},

‎5. Modules.ipynb‎ renamed to ‎6. Modules.ipynb‎

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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": true,
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"editable": true
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},
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"metadata": {},
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"source": [
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"# Modules"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": true,
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"editable": true
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},
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"metadata": {},
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"source": [
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"You have seen how you can reuse code in your program by defining functions once. What if you wanted to reuse a number of functions in other programs that you write? As you might have guessed, the answer is modules.\n",
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"\n",
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true,
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"deletable": true,
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"editable": true
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"collapsed": true
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},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": true,
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"editable": true
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},
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"metadata": {},
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"source": [
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"### Challenge\n",
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"Write a python program which takes input from command line and outputs sum of two itegers."
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true,
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"deletable": true,
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"editable": true
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"collapsed": true
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},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": true,
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"editable": true
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},
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"metadata": {},
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"source": [
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"## The from..import statement "
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]
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true,
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"deletable": true,
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"editable": true
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"collapsed": true
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},
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"outputs": [],
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"source": []
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"cell_type": "markdown",
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"metadata": {
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"deletable": true,
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"editable": true
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},
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"metadata": {},
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"source": [
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"### Challenges:\n",
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"[Polar Coordinates](https://www.hackerrank.com/challenges/polar-coordinates)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": true,
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"editable": true
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"metadata": {},
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"source": [
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"## Making Your Own Modules"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": true,
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"editable": true
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"metadata": {},
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"source": [
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"## Problem with importing my modules\n",
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"\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.2+"
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"version": "3.6.3"
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}
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},
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"nbformat": 4,

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