This repo contains essentials of Configuring Toolkits for Data Science and Deep Learning (Pandas, DataFrames, Numpy, Scipy, Matplotlib, Seaborn, Bokeh, Statsmodel, Scikit Learn, Keras, Tensorflow, Apache Spark and etc.)
SETTING UP PC ENVIRONMENT FOR DATA SCIENCE, MACHINE LEARNING AND DEEP LEARNING WITH PYTHON
This repo contains essentials of Configuring Toolkits for Data Science and Deep Learning (Pandas, DataFrames, Numpy, Scipy, Matplotlib, Seaborn, Apache Spark, ScikitLearn, Keras, Tensorflow and etc.)
DOWLOAD AND INSTALL PYTHON 3.6
Download Python 3.6 from Python Official Website, Install it
OPEN CMD ON WINDOWS (in my case Windows 10)
Open CMD and Change the Directory to where Python is installed
cd C:\Program Files\Python36
Then proceed to next, upgrading pip version
UPGRADE PIP VERSION
Upgrade pip Version with pip
python -m pip install --upgrade pip --user
DATA SCIENCE, BIG DATA ANALYTICS, DATA ENGINEERING
Install SciPy with pip
pip install scipy
pip install scipy --user
Install Pandas with pip
pip install pandas
or pip install pandas --user
Install Data Frame with pip
pip install dataframe
Install Apache Spark with pip
pip install pyspark --user
Install Anaconda - perform Python/R data science and ML
pip install anaconda --user
Install StatsModels with pip for statistical data analysis
pip install StatsModels --user
DATA VIZUALIZATION
Install matplotlib with pip
pip install matplotlib
python -m pip install matplotlib --user
Install seaborn with pip (for Data Visualization)
pip install seaborn --user
Install Plotly with pip for sophisticated graphics (Data Viz)