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Notebooks/0_SQLite.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Accessing Relational Databases"
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"## Introduction to Databases\n",
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"\n",
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"### Accessing Relational Databases - SQLite"
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]
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},
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{

Notebooks/1_MySQL.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Accessing Relational Databases"
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"## Introduction to Databases\n",
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"\n",
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"### Accessing Relational Databases - MySQL"
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]
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},
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{
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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": "3.6.8"
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"version": "3.7.6"
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}
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},
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"nbformat": 4,

Notebooks/2_PostgreSQL.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Accessing Relational Databases"
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"## Introduction to Databases\n",
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"\n",
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"### Accessing Relational Databases - PostgreSQL"
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]
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},
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{

Notebooks/3_JupyterSQL.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Pandas, SQL and Jupyter "
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"## Introduction to Databases\n",
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"\n",
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"### Pandas, SQL and Jupyter "
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]
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},
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{

Notebooks/4_SQLAlchemy.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# SQLAlchemy "
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"## Introduction to Databases\n",
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"\n",
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"### SQLAlchemy "
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]
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},
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{
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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": "3.8.3"
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"version": "3.7.6"
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}
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},
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"nbformat": 4,

Notebooks/Example_SQLite_matrix.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Exercises"
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"## Introduction to Databases\n",
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"\n",
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"### Matrix Exercise"
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]
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},
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{

Notebooks/Example_SQLite_search engine.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Introduction to Data Science\n",
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"## Introduction to Databases\n",
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"\n",
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"### Data Science Tasks: Search and Ranking"
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"### Databases for SRI Search and Ranking"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": true
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"collapsed": true,
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"jupyter": {
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"outputs_hidden": true
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}
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"outputs": [],
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"source": [
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": true
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"collapsed": true,
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"jupyter": {
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"outputs_hidden": true
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}
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},
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"outputs": [],
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"source": [
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {
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"collapsed": true
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"collapsed": true,
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"jupyter": {
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"outputs_hidden": true
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}
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"outputs": [],
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"source": [
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {
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"collapsed": true
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"collapsed": true,
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"jupyter": {
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"outputs_hidden": true
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}
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"outputs": [],
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"source": [
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {
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"collapsed": true
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"collapsed": true,
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"jupyter": {
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {
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"collapsed": true
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"collapsed": true,
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"jupyter": {
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"cell_type": "code",
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"source": [
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {
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"outputs": [],
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"source": [
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {
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"collapsed": true
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"jupyter": {
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}
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"outputs": [],
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"source": [
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"cell_type": "code",
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"execution_count": 20,
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"metadata": {
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"collapsed": true
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"collapsed": true,
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"jupyter": {
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"outputs_hidden": true
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}
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"outputs": [],
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"source": [
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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": "3.6.5"
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"version": "3.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}

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