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30 Days of Python πŸ‘¨β€πŸ’» - Day 7 - Developer Environment

arindamdawn profile image Arindam Dawn Originally published at tabandspace.com ・3 min read

30-days-of-python (30 Part Series)

1) 30 Days of Python πŸ‘¨β€πŸ’» - Day 1 - Introduction 2) 30 Days of Python πŸ‘¨β€πŸ’» - Day 2 - Data Types I 3 ... 28 3) 30 Days of Python πŸ‘¨β€πŸ’» - Day 3 - Data Types II 4) 30 Days of Python πŸ‘¨β€πŸ’» - Day 4 - Data Types III 5) 30 Days of Python πŸ‘¨β€πŸ’» - Day 5 - Conditions & Loops I 6) 30 Days of Python πŸ‘¨β€πŸ’» - Day 6 - Loops II & Functions 7) 30 Days of Python πŸ‘¨β€πŸ’» - Day 7 - Developer Environment 8) 30 Days of Python πŸ‘¨β€πŸ’» - Day 8 - OOP Basics 9) 30 Days of Python πŸ‘¨β€πŸ’» - Day 9 - OOP Pillars 10) 30 Days of Python πŸ‘¨β€πŸ’» - Day 10 - OOP Missing Pieces 11) 30 Days of Python πŸ‘¨β€πŸ’» - Day 11 - Functional Programming Basics 12) 30 Days of Python πŸ‘¨β€πŸ’» - Day 12 - Lambda Expressions & Comprehensions 13) 30 Days of Python πŸ‘¨β€πŸ’» - Day 13 - Decorators 14) 30 Days of Python πŸ‘¨β€πŸ’» - Day 14 - Error Handling 15) 30 Days of Python πŸ‘¨β€πŸ’» - Day 15 - Generators 16) 30 Days of Python πŸ‘¨β€πŸ’» - Day 16 - Module Basics 17) 30 Days of Python πŸ‘¨β€πŸ’» - Day 17 - External Modules 18) 30 Days of Python πŸ‘¨β€πŸ’» - Day 18 - File I/O 19) 30 Days of Python πŸ‘¨β€πŸ’» - Day 19 - Regular Expressions 20) 30 Days of Python πŸ‘¨β€πŸ’» - Day 20 - Debugging and Testing 21) 30 Days of Python πŸ‘¨β€πŸ’» - Day 21 - Scripting Basics 22) 30 Days of Python πŸ‘¨β€πŸ’» - Day 22 - Scripting Extras 23) 30 Days of Python πŸ‘¨β€πŸ’» - Day 23 - Web Scraping 24) 30 Days of Python πŸ‘¨β€πŸ’» - Day 24 - Web Development Basics 25) 30 Days of Python πŸ‘¨β€πŸ’» - Day 25 - Web Development Extras 26) 30 Days of Python πŸ‘¨β€πŸ’» - Day 26 - Machine Learning Basics 27) 30 Days of Python πŸ‘¨β€πŸ’» - Day 27 - ML & Data Science I 28) 30 Days of Python πŸ‘¨β€πŸ’» - Day 28- ML & Data Science II 29) 30 Days of Python πŸ‘¨β€πŸ’» - Day 29 - Automation Testing 30) 30 Days of Python πŸ‘¨β€πŸ’» - Day 30 - Free Python Resources

Throughout the first week, I spent time getting familiar with the basic terminologies, syntax and concepts of Python and tried building a mental model around it using my experience with JavaScript. As per the rough roadmap I created, I dedicated Day 7 towards setting up my Python developer environment and exploring more on various IDEs available and more related to developer environment which I will be sharing in this post.

Installing Python

Installation is pretty self-explanatory and very well described in the official Python download page which I have linked here

Make sure you download the latest version of Python (3.8.3 as of now) to take advantage of the latest features.

Python Developer Tools

a) Code Editors ( Light-weighted applications. )

b) IDEs ( Comes integrated with all tools required for development, testing, debugging )

c) Notebooks

  • Jupyter Notebooks (Used for Machine Learning and Data Science)

Python Extensions for VS Code

If using VS Code as the code editor, these extensions might come handy for more Python friendly development experience

I personally liked PyCharm and the community-edition provides all features that are required for profession development with Python. It gives a great professional environment with all tools baked in. However, I will be using VS Code as I often need to switch to other JavaScript projects and using a single editor would be less cumbersome.

Pep8

https://www.python.org/dev/peps/pep-0008/ is a style guide for Python Code. VS Code will prompt installation of autopep8 formatter when trying to format Python code. It will format Python code as per the specifications. An IDE like PyCharm comes with a Pep8 formatter baked in.

Anaconda

Anaconda is a package manager, an environment manager, and Python distribution that contains a collection of many open source packages (numpy, scikit-learn, scipy, pandas to name a few). Additional packages after installing Anaconda, can be installed by using Anaconda’s package manager, conda or pip to install those packages. Conda even makes it easy to switch between Python 2 and 3 (you can learn more about it here). In fact, installation of Anaconda is also a common way to install Jupyter Notebooks.

There is another distribution package available called Minoconda, a stripped-down version of Anaconda for computers with memory constraints.

Developer Environment is something which can be a reason for procrastination figuring out the latest and greatest tool for development. So sticking to an IDE or code editor is better. It's way better to feel very comfortable with a single editor rather than knowing tons of applications in bits and pieces. It's good to know the tools and technologies that are available but frequent switching of tools just due to their popularity is not essential always.

That's it, folks. I covered the topics which were part of the week 1 roadmap. It's time to enter the more advanced territory of Python exploring programming paradigms such as Object-Oriented style and Functional Style. Will start with OOP concepts with Python tomorrow.

Have a great one!

30-days-of-python (30 Part Series)

1) 30 Days of Python πŸ‘¨β€πŸ’» - Day 1 - Introduction 2) 30 Days of Python πŸ‘¨β€πŸ’» - Day 2 - Data Types I 3 ... 28 3) 30 Days of Python πŸ‘¨β€πŸ’» - Day 3 - Data Types II 4) 30 Days of Python πŸ‘¨β€πŸ’» - Day 4 - Data Types III 5) 30 Days of Python πŸ‘¨β€πŸ’» - Day 5 - Conditions & Loops I 6) 30 Days of Python πŸ‘¨β€πŸ’» - Day 6 - Loops II & Functions 7) 30 Days of Python πŸ‘¨β€πŸ’» - Day 7 - Developer Environment 8) 30 Days of Python πŸ‘¨β€πŸ’» - Day 8 - OOP Basics 9) 30 Days of Python πŸ‘¨β€πŸ’» - Day 9 - OOP Pillars 10) 30 Days of Python πŸ‘¨β€πŸ’» - Day 10 - OOP Missing Pieces 11) 30 Days of Python πŸ‘¨β€πŸ’» - Day 11 - Functional Programming Basics 12) 30 Days of Python πŸ‘¨β€πŸ’» - Day 12 - Lambda Expressions & Comprehensions 13) 30 Days of Python πŸ‘¨β€πŸ’» - Day 13 - Decorators 14) 30 Days of Python πŸ‘¨β€πŸ’» - Day 14 - Error Handling 15) 30 Days of Python πŸ‘¨β€πŸ’» - Day 15 - Generators 16) 30 Days of Python πŸ‘¨β€πŸ’» - Day 16 - Module Basics 17) 30 Days of Python πŸ‘¨β€πŸ’» - Day 17 - External Modules 18) 30 Days of Python πŸ‘¨β€πŸ’» - Day 18 - File I/O 19) 30 Days of Python πŸ‘¨β€πŸ’» - Day 19 - Regular Expressions 20) 30 Days of Python πŸ‘¨β€πŸ’» - Day 20 - Debugging and Testing 21) 30 Days of Python πŸ‘¨β€πŸ’» - Day 21 - Scripting Basics 22) 30 Days of Python πŸ‘¨β€πŸ’» - Day 22 - Scripting Extras 23) 30 Days of Python πŸ‘¨β€πŸ’» - Day 23 - Web Scraping 24) 30 Days of Python πŸ‘¨β€πŸ’» - Day 24 - Web Development Basics 25) 30 Days of Python πŸ‘¨β€πŸ’» - Day 25 - Web Development Extras 26) 30 Days of Python πŸ‘¨β€πŸ’» - Day 26 - Machine Learning Basics 27) 30 Days of Python πŸ‘¨β€πŸ’» - Day 27 - ML & Data Science I 28) 30 Days of Python πŸ‘¨β€πŸ’» - Day 28- ML & Data Science II 29) 30 Days of Python πŸ‘¨β€πŸ’» - Day 29 - Automation Testing 30) 30 Days of Python πŸ‘¨β€πŸ’» - Day 30 - Free Python Resources

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Arindam Dawn

@arindamdawn

Software Engineer who loves building user interfaces. In the quest to learn, unlearn and re-learn things.

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