Best #UDACITY courses to become Data Scientist

https://www.udacity.com/courses/all

SQL Lessons on #Udacity for free
https://classroom.udacity.com/nanodegrees/nd008t-ent/parts/990fc819-4cbe-4d5c-86e5-99df8547cd04

Tableau Lessons on #Udacity for free

https://classroom.udacity.com/nanodegrees/nd008t-ent/parts/abac3c6d-4cac-4dd2-bb3d-85356ffe012d

Useful #sql cheetsheet for #data_analytics

Transform XML into Pandas DataFrame, Part 2
https://youtu.be/EAhp1FhIWvI

Tuition free, instructor guided and completely online. Built around your life.
#Apply now, #datascience

https://www.wqu.edu/programs/mscfe/?utm_source=DW&utm_medium=Facebook&utm_campaign=23847706790510450_23847706791070450_23847706790910450&utm_content=Facebook_Mobile_Feed

Best tutorial for Flask: A web app development
https://www.educative.io/courses/flask-develop-web-applications-in-python/YM80y1mr9VM
#webapp

What is WSGI?

WSGI stands for Web server Gate way interface that is a simple calling convention for web servers to forward requests to web applications or frameworks written in the Python programming language.

#keynote #python #webapp

Top 5 things you need to know about data science

#article

https://www-techrepublic-com.cdn.ampproject.org/c/s/www.techrepublic.com/google-amp/article/top-5-things-you-need-to-know-about-data-science/a

Python Basics: A Practical Introduction to Python 3 - Real Python

📖 Book

@epythonlab #pythonbooks

How to write flexible, documented, tested Python code for Research computing

Reproducible Bioinformatics with Python - 2021


@epythonlab #pythonbooks #bioinformatics

SQLAlchemy Database Migrations for Flask Applications using Alembic

Code: https://github.com/miguelgrinberg/Flask-Migrate

https://morioh.com/p/9bcd13dbee9f

@epythonlab #article

Auto joining and messaging telegram groups.

💻 Code Better with Type Hints

Explicit is better than implicit. The zen of Python.

https://pybit.es/articles/code-better-with-type-hints-part-1/

@epythonlab #article

This is a log message that stores incoming message in the log file.

Introduction to Computer Science and Python programming
#scholarship

https://www.edx.org/course/introduction-to-computer-science-and-programming-7?utm_campaign=mitx&utm_medium=partner-marketing&utm_source=email&utm_content=mailchimp-6.00.1x-aug2021

💻 Linear Algebra for Natural Language Processing

https://www.kdnuggets.com/2021/08/linear-algebra-natural-language-processing.html

Code: https://github.com/Taaniya/linear-algebra-for-ml

@epythonlab #nlp #code #article

What is Namespace in Python?

https://www.pythonforbeginners.com/basics/what-is-namespace-in-python

@epythonlab #code #article

#CODE_CHALLENGE #PYTHON_LIST #LOOPS #FUNCTIONS

1. Write a function called delete_starting_evens() that has a parameter named lst.

The function should remove elements from the front of lst until the front of the list is not even. The function should then return lst.

For example if lst started as [4, 8, 10, 11, 12, 15], then delete_starting_evens(lst) should return [11, 12, 15].

Make sure your function works even if every element in the list is even!

POST YOUR SOLUTION @PYTHONETHBOT

Compilers and interpreters are programs that help convert the high level language (Source Code) into machine codes to be understood by the computers. Computer programs are usually written on high level languages. A high level language is one that can be understood by humans.

However, computers cannot understand high level languages as we humans do. They can only understand the programs that are developed in binary systems known as a machine code. To start with, a computer program is usually written in high level language described as a source code. These source codes must be converted into machine language and here comes the role of compilers and interpreters.

Differences between Interpreter and Compiler

!. Interpreter translates just one statement of the program at a time into machine code where as Compiler scans the entire program and translates the whole of it into machine code at once.

2. An interpreter takes very less time to analyze the source code. However, the overall time to execute the process is much slower. A compiler takes a lot of time to analyze the source code. However, the overall time taken to execute the process is much faster.

3. An interpreter does not generate an intermediary code. Hence, an interpreter is highly efficient in terms of its memory. A compiler always generates an intermediary object code. It will need further linking. Hence more memory is needed.

4. Keeps translating the program continuously till the first error is confronted. If any error is spotted, it stops working and hence debugging becomes easy. A compiler generates the error message only after it scans the complete program and hence debugging is relatively harder while working with a compiler.

5. Interpreters are used by programming languages like Ruby and Python for example. Compliers are used by programming languages like C and C++ for example.

🔝 Write an SQL query builder in 150 lines of Python!

https://death.andgravity.com/query-builder-how

Join @epythonlab for information #sql #article #python #code