📚 PyLadies Resources 🤓

Here is a selection of useful resources as well as slides, exercises and materials from our workshops.

:computer: Websites for learning

• Overview of free STEM classes
• Code Academy ~ Python track (beginner friendly)
• Automate the boring stuff (beginner friendly)
• PyBites (train your skills)
• CodeWars (train your skills)

👩‍💻 / 👨‍💻 Workshops/Tutorials

Beginners

Learn Python

• (Book) Online Free Book Python 3, learn from scratch step by step - https://python.swaroopch.com/first_steps.html
• (Tutorial) Learn basic python with drawing with turtle python module - http://opentechschool.github.io/python-beginners/
• (Learning options index) Up to date list of learning resources - https://python-guide.readthedocs.io/en/latest/intro/learning/

Practice Python

• Build a text adventure - Exercises with solutions (practice if, else, for logic) https://github.com/PyLadiesBerlin/python-beginners-workshop/blob/master/tasks/README.rst
• Practice pythonic code with solutions in small exercises (git used to submit exercises) https://exercism.io/

Git

• Git tutorial (good to know first a bit what git is) - https://www.codecademy.com/learn/learn-git
• Command line tutorial - https://www.codecademy.com/learn/learn-the-command-line

Intermediate/Advanced

Python core

• Python intermediate advanced/concepts - http://book.pythontips.com/en/latest/index.html

Web related

• Flask - http://opentechschool.github.io/python-flask/
• Django - https://tutorial.djangogirls.org/en/
• Fastapi, new async web framework - suitable for experienced web developers - https://fastapi.tiangolo.com/tutorial

Data related

• First experience with data, jupyter, csv etc. tutorial - http://opentechschool.github.io/python-data-intro/
• Very brief numpy and pandas basics tutorial - https://www.learnpython.org/
• Pandas dataframe detailed tutorial (with video) https://www.datacamp.com/community/tutorials/pandas-tutorial-dataframe-python

More deep data resources (opentechschool - [datascience learning recommendations] (https://github.com/ellenkoenig/datascience-co-learning#python))

• Pandas complete tutorial - https://bitbucket.org/hrojas/learn-pandas
• StatsModels Tutorial - https://github.com/jseabold/statsmodels-tutorial

Transfer learning for computer vision - https://github.com/ividal/TransferLearning/blob/master/README.md

GUI

• Build pretty GUIs with python - workshop with solutions - https://github.com/cmaureir/qtforpython_workshop

Other topics / Challenges

• http://automatetheboringstuff.com/#toc
• https://pybit.es/pages//challenges.html
• Concurrent Futures workshop (Parallel programming in Python) https://github.com/teoguso/concurrent-futures-tutorial

Books

• Dive Into Python 3
• Think python 2e
• Python Practice Book

👩‍💻Other Berlin based Meetups

• Open Tech School Python Co-Learning (beginner friendly, python for web aps)
• Open Tech School Data Science Co-Learning (beginner friendly, python for data science)
• Heart of Code (beginner friendly)
• PyData Berlin
• Coders Club (weekly co-learning)
• Django Girls Berlin (yearly workshops)
• Open Source diversity (Get started with contributing to Open Source projects)

👩‍💻 Initiatives to teach IT skills to women (distance learning)

• Learn IT, Girl! (https://www.learnitgirl.com) (mentoring scheme over 12 weeks, beginner friendly, requires an application)
• Python Study Group organized by the Anita B.Org community (https://anitab.org) (beginner friendly, requires an application, follows this (free) Python course https://www.udemy.com/share/101r6uAkAedVpURHg=/)

Open source Projects to get involved with

• Numfocus
• Scipy
• Like to hear

You can also find more projects on the open source diversity forum

Past workshops

💾 Slides, exercises and materials

0. Getting started - setting up your machine
1. Introduction to programming with python
2. Understanding the web basics
3. Introduction to Django
4. Introduction to git
5. Python basics variables functions files for beginners
6. Data visualization with django and highcharts
7. Workshop web scraping
8. Python in science
9. Test driven development
10. Pandas intro
11. Building a small web app using mvc patterns
12. How to write pythonic code
13. Fun games
14. Coding alg to win
15. Microservices
16. Rest apis
17. Blender solar system modellingn
18. Git and github
19. Telegram Bots
20. Python beginners workshop
21. MicroPython IoT workshop
22. Hardware Hackevening Resources
23. Data Wrangling with Pandas (Meetup event)
24. Developers X Operations AKA devops! Docker edition (slides included in the repo), (Meetup event)
25. TDD workshop (Meetup event)
26. Build and Implement a Deep Learning Speech Classifier in Python, (Meetup event)
27. Getting started with PyMC and Bayesian Modelling, (Meetup event)
28. Noise filters in Python, Make a free account in https://i.notebooks.ai/i/qrtJj3 to access, (Meetup event)
29. Building a data science project from scratch, (Meetup event), many nice resource in the requirements
30. Web Scraping with Scrapy and MongoDB running on Docker

:microphone: Public speaking - Call for Proposals - CFP

Brilliant talks about public speaking in conferences.

• CFP Advice (what to talk about and how)
• Crafting your Bio
• Your perfect tech talk Prepare a talk to be remembered!!
• The art of slide design

• The day of your talk Checklist of everything to prepare so nothing can go wrong.

  Find some slides with great tips from our own CFP writing event here

Coaching

If you wanna join us as a coach, please fill in this form and we will reach out to ask you whenever we are in need.

Thanks for your active support :heart:

:clipboard: Organizing resources

Everything related with Pyladies Berlin chapter organizing.

🐛 Issues or suggestions

If you found an issue on the page or only have a quick suggestion (for example a resource to add), please open a new issue in our issue list. Thank you! 👍

:smiley: :trophy: Adding resources yourself

• You can clone this repository and add resources (ie workshop material) if you do so :heart_eyes:, please submit a Pull Request.
• How to create a pull request? This guide will help you get started: Opening a pull request :heart:

:satellite: Contact us

You can reach us either through email or on our slack, if your not already a member you can an invite here.

:v: Code of conduct

The PyLadies community has a code of conduct that are shared between all our members and apply at our Meetups as well as on our online platforms, please respect our shared values. :relieved: