An introduction course for Python provided by VetsInTech

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Overview

Introduction to Python

This is an introduction course for Python provided by VetsInTech.

For every "boot camp", there usually is a pre-req, but because we have students from different points of a military career, this course will start at the very beginning.
Our target audience is for those with no programming experience so, please be patience!
We will give you the tools to learn, but you must think for yourself!
Programming is not a linear learning process where there is a definite answer to every question.
You may learn to solve a single problem 100 different ways!
Enjoy (and trust) the learning process.

What To Expect From Us

  • The content will be provided on a weekly basis
  • Daily exercises*
  • Weekly assignments
  • README with TLO/ELO*
  • Retrospectives
  • Afterhours
  • Weekend study sessions*

What We Expect

  • Cameras on
  • Participation
  • Weekly assignments
  • Attempt the exercises

What is a README?

"A README file contains information about other files in a directory or archive of computer software." [Wikipedia]

In every folder of this course, you will have a README that will have a brief overview of what is being covered that day. It can serve as a timeline or a resource to prepare ahead of class.

We may not cover everything for each topic at a single given time. We may break up the content accordingly to the student's learning pace.

Resources

Owner
Vets In Tech
Vets In Tech
Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)

Curriculum Learning by Optimizing Learning Dynamics (DoCL) AISTATS 2021 paper: Title: Curriculum Learning by Optimizing Learning Dynamics [pdf] [appen

Tianyi Zhou 15 Dec 06, 2022
A Python module for creating Excel XLSX files.

XlsxWriter XlsxWriter is a Python module for writing files in the Excel 2007+ XLSX file format. XlsxWriter can be used to write text, numbers, formula

John McNamara 3.1k Dec 29, 2022
layout-parser 3.4k Dec 30, 2022
Resource hub for Obsidian resources.

Obsidian Community Vault Welcome! This is an experimental vault that is maintained by the Obsidian community. For best results we recommend downloadin

Obsidian Community 320 Jan 02, 2023
Sphinx-performance - CLI tool to measure the build time of different, free configurable Sphinx-Projects

CLI tool to measure the build time of different, free configurable Sphinx-Projec

useblocks 11 Nov 25, 2022
A Python library for setting up projects using tabular data.

A Python library for setting up projects using tabular data. It can create project folders, standardize delimiters, and convert files to CSV from either individual files or a directory.

0 Dec 13, 2022
This is a small project written to help build documentation for projects in less time.

Documentation-Builder This is a small project written to help build documentation for projects in less time. About This project builds documentation f

Tom Jebbo 2 Jan 17, 2022
Toolchain for project structure and documents optimisation

ritocco Toolchain for project structure and documents optimisation

Harvey Wu 1 Jan 12, 2022
💡 Catatan Materi Bahasa Pemrogramman Python

Repository catatan kuliah Andika Tulus Pangestu selama belajar Dasar Pemrograman dengan Python.

0 Oct 10, 2021
Data science on SDGs - Udemy Online Course Material: Data Science on Sustainable Development Goals

Data Science on Sustainable Development Goals (SDGs) Udemy Online Course Material: Data Science on Sustainable Development Goals https://bit.ly/data_s

Frank Kienle 1 Jan 04, 2022
Canonical source repository for PyYAML

PyYAML - The next generation YAML parser and emitter for Python. To install, type 'python setup.py install'. By default, the setup.py script checks

The YAML Project 2k Jan 01, 2023
A python package to import files from an adjacent folder

EasyImports About EasyImports is a python package that allows users to easily access and import files from sister folders: f.ex: - Project - Folde

1 Jun 22, 2022
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

applied-ml Curated papers, articles, and blogs on data science & machine learning in production. ⚙️ Figuring out how to implement your ML project? Lea

Eugene Yan 22.1k Jan 03, 2023
A module filled with many useful functions and modules in various subjects.

Usefulpy Check out the Usefulpy site Usefulpy site is not always up to date Download and Import download and install with with pip download usefulpyth

Austin Garcia 1 Dec 28, 2021
Plotting and analysis tools for ARTIS simulations

Artistools Artistools is collection of plotting, analysis, and file format conversion tools for the ARTIS radiative transfer code. Installation First

ARTIS Monte Carlo Radiative Transfer 8 Nov 07, 2022
🧙 A simple, typed and monad-based Result type for Python.

meiga 🧙 A simple, typed and monad-based Result type for Python. Table of Contents Installation 💻 Getting Started 📈 Example Features Result Function

Alice Biometrics 31 Jan 08, 2023
Watch a Sphinx directory and rebuild the documentation when a change is detected. Also includes a livereload enabled web server.

sphinx-autobuild Rebuild Sphinx documentation on changes, with live-reload in the browser. Installation sphinx-autobuild is available on PyPI. It can

Executable Books 440 Jan 06, 2023
EasyModerationKit is an open-source framework designed to moderate and filter inappropriate content.

EasyModerationKit is a public transparency statement. It declares any repositories and legalities used in the EasyModeration system. It allows for implementing EasyModeration into an advanced charact

Aarav 1 Jan 16, 2022
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Here are the sections: Data Science Cheatsheets Data Science EBooks Data Science Question Bank Data Science Case Studies Data Science Portfolio Data J

James Le 2.5k Jan 02, 2023
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, A

Donne Martin 24.5k Jan 09, 2023