Convert a CSV file to a list of Python dictionaries in three steps: Create a CSV file object f using open(“my_file.csv”) and pass it in the csv.DictReader(f) method. The return value is an iterable of dictionaries, one per row in the CSV file. Each dictionary maps the column header from the first row to the … Read more
Here’s the short summary in case you’re super busy: To set up and use Anaconda in Pycharm, first open PyCharm, click “Create new project”, click “Add Local”, navigate to your desired conda environment, select python.exe, and click OK. Let’s go into the weeds with more details next! Adding the Anaconda Environment to PyCharm Consider this … Read more
Static class variables and methods in Python: How do I create static class variables or methods in Python? Are static class variables possible in Python? This article will give you a comprehensive answer to these questions! 🔍 Experiment: If we search “static class variables” in the Python documentation we will not find any close to … Read more
The demand for programming talent has steadily increased in the preceding decades. In fact, there never has been a better time to start learning to code. Why? Because you (yes, YOU! 🧬) can sell your skills for top dollars: The average freelancer earns much more than $100,000 per year. Nobody denies two transformative trends: Programming … Read more
🚀 The mission of Finxter is to help increase collective intelligence. What does it mean to increase collective intelligence? In my view, humanity it’s like a big organism. You and I are two cells of this big organism. There are communication channels between those cells — for example, video, audio, speech, etc. There are many … Read more
[toc] Problem: Given a Numpy array; how will you call an element from the given array? Example: When you call an element from a Numpy array, the element being referenced is retrieved from a specified index. Let’s have a look at the following scenario, which demonstrates the concept: Given: my_array = [[1, 2, 3, 4, … Read more
import pandas as pd df = pd.read_csv(‘my_file.csv’) df.to_parquet(‘my_file.parquet’) Problem Formulation Given a CSV file ‘my_file.csv’. How to convert the file to a Parquet file named ‘my_file.parquet’? 💡 Info: Apache Parquet is an open-source, column-oriented data file format designed for efficient data storage and retrieval using data compression and encoding schemes to handle complex data in … Read more
Hackers have a wide variety of specific skills that are super valuable in a “white hat” environment. If you’re interested in leaving the “dark side” or you simply want to reduce your risk profile as a hacker—these could be some interesting career paths you could pursue easily without needing to learn a whole new stack … Read more
Problem Formulation Challenge: Given a list. How will you select a number randomly from the list using probability distribution? When you select a number randomly from a list using a given probability distribution, the output number generated will be a number returned based on the relative weights (probability) of the given numbers. Let’s try to … Read more
During your career as a Coder, you will find, at some point, a need to set up and run a Devserver on your local computer. Working locally is a great way to develop your code before deploying it on a Production Server. This software has several additional applications you can install to ensure the Local … Read more
Summary: The most Pythonic approach to initialize a dictionary with keys is to use the dict.fromkeys(key, None) dictionary method, which accepts each item from the given list as a key and associates None to each key as a value. Problem Formulation: Given a list containing employee IDs as items within it. How will you create … Read more
Is Python still an attractive niche to be in as a coder? And what about in the decade to come given that the programming industry undergoes rapid changes? This article will give you answers to those questions. In short, the top 14 profitable career paths for Python coders are: After reading this article, you’ll have … Read more