Authors
Harish Garg
Do you want to write for Packt?Harish Garg is a Principal Software Developer, author, and co-founder of a software development and training company, Bignumworks. Harish has more than 19 years of experience in a wide variety of technologies, including blockchain, data science and enterprise software. During this time, he has worked for companies such as McAfee, Intel, etc.
Books from Harish Garg
- Mastering Exploratory Analysis with pandas$17.99RRP $17.99Explore Python frameworks like pandas, Jupyter notebooks, and Matplotlib to build data pipelines and data visualization
- Python Data Structures and Algorithms [Video]$124.99Master data structure implementation for different types of data structure, spanning from linear data structures to tree graph algorithms.
- Pandas for Predictive Analysis using scikit-learn [Video]$124.99Learn how to use Pandas for Predictive Analysis by employing scikit-learn
- Learning Pandas [Video]$124.99Learn Pandas, Powerful Data Analysis with Python Library in an engaging and exciting way
- Getting Started with Python Bitcoin Programming [Video]$124.99Simplified Python programming for Bitcoin and Blockchain
- Data Visualization Projects in Python [Video]$0.99Data Visualization with bqplot, NetworkX, and Bokeh in Python
- Data Visualization in Python by Examples [Video]$0.99Data visualization with matplotlib, ggplot, and seaborn in Python
- Advanced Techniques for Exploring Data Sets with Pandas [Video]$124.99Explore popular datasets in R, while mastering advanced techniques used for them
- Concurrent and Distributed Computing with Python [Video]$124.99Implement concurrency in your apps using Celery, and Pyro, and make your Python apps distributed with AWS
- Data Visualization Recipes with Python and Matplotlib 3 [Video]$124.99Become a data visualizations expert with Matplotlib 3 by learning effective and practical data visualization recipes
- Hands-On Exploratory Data Analysis with R$21.99Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills