Piktochart is an infographic tool to help you present your presentations, pitches, proposals, data visualizations, charts, timelines, structure, process related visuals and diagrams in a compelling way.
Based on our record, Pandas seems to be a lot more popular than Piktochart. While we know about 219 links to Pandas, we've tracked only 4 mentions of Piktochart. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Piktochart: Piktochart is another powerful tool for infographic creation, offering a range of customizable templates and easy-to-use design features. It provides an intuitive interface for adding charts, maps, icons, and more. - Source: dev.to / over 1 year ago
Frontend Tech Lead, Senior Frontend Developer | Remote in Europe | 4-day work week SaaS |Visual communications app https://piktochart.com/ Here's a little information about our culture. - Source: Hacker News / over 3 years ago
Picktochart - Data visualizations are always helpful when you're trying to communicate certain aspects of product usage in relation to something else. - Source: dev.to / about 4 years ago
Piktochart is a graphic design platform helping brands deliver visually appealing content. With Piktochart, one can create beautiful infographics, on-point presentations, as well as easily digestible reports. Source: about 4 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 8 days ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 24 days ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 28 days ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 8 months ago
Canva - Canva is a graphic-design platform with a drag-and-drop interface to create print or visual content while providing templates, images, and fonts. Canva makes graphic design more straightforward and accessible regardless of skill level.
NumPy - NumPy is the fundamental package for scientific computing with Python
PicMonkey - PicMonkey is a feature-rich online photo editor that works right in your browser; no downloads...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Marq - Marq (formerly Lucidpress) is a web-based design and layout application that enables anyone to create beautiful creatives
OpenCV - OpenCV is the world's biggest computer vision library