Today, entry-level Python programmers may significantly increase their productivity by implementing essential principles and tools into their workflows. Here’s how to identify and address five typical Python development services issues. We went through them all and occasionally helped others go through them as well. You will be more successful Python developer if you can avoid these challenges.

1. Don’t waste time doing the compiler’s job

When developers’ brains perform something that computer brains can do far better, it’s generally a costly mistake. One example is when programmers wasting time investigating bugs that automated technologies might identify just as well.

Python is still often used with static code analysis tools and linters for some reason, maybe due to its dynamic nature and earlier standing as a “scripting” language. However, these tools are excellent. They can help in the identification and prevention of specific bugs and error classes. They can, for example, identify functional bugs such as misspelled identifiers or disclose code quality issues such as unused variables and imports.

2. Avoid fruitless code-style discussions

Does your team do code reviews? Great! However, be aware that an inexperienced code reviewer’s usual mistake is spending too much time on feedback that automated tools might provide. We’re talking about issues with coding style.

It’s common for development teams to fall into the habit of focusing on code style issues during code reviews. This is a type of bikeshedding that keeps engineers from addressing genuine issues. The ones that cost money and cause future maintenance issues.

A quick answer is to use one of the many Python style guides accessible on the internet, such as PEP 8 or Google’s Python Style Guide and set up automatic tools to ensure that committed code adheres to the style.

3. Don’t lose your train of thought

According to usability research, website page load time significantly impacts user abandonment: People who become bored while waiting for anything to happen are more likely to abandon the initial work they had in mind.

Waiting for tools to do their work is a regular part of our day-to-day workflow as software engineers. We’re always waiting for a module to be installed, a test to run, or a commit to complete. Of course, we’re not “abandoning” our work every time we have to wait a few seconds for a tool to run; after all, being focused on the task at hand is part of our job.

However, maintaining that focus requires mental energy that we may not have in other parts of our work: we get tired a bit faster in the afternoon or introduce a small extra bug with our last commit.

4. Don’t work with an unpleasant editing environment

Some tools are so difficult to use that they sap your energy and enthusiasm. What is the most significant tool you use on a daily basis as a developer? It’s my code editor. For other engineers, it may be their email client or a team chat app—but let’s hope you spend the most of your day creating code.

We have several editors and IDEs to pick from as Python developers, including Vim, Emacs, PyCharm, Wing IDE, Atom, Eclipse PyDev, and Sublime Text, to mention a few. Over the years, we’ve spent a lot of time fine-tuning my editing environment. After experimenting with many editors and IDEs, we settled on Sublime Text. Its speed, simplicity, and stability appeal to us. It simply feels appropriate for our programming workflow. And we got at this decision after eliminating all other possibilities.

5. Better use of debugging techniques

When you run into an issue when working on Python code, you usually get the particular line that points to the source of the problem. These mistakes might be logical, syntax, or run-time warnings. While most syntax-related issues are easy to solve with a well-designed integrated development environment and some analysis, it is not unusual to become stuck at a certain point in your code for a long period of time.

This raises the issue of what we can do to enhance our methods for debugging the inevitable programming bugs. Make use of a lot of print statements to ensure that your project or strategy is progressing as planned. You may comment out or remove these statements later, but make sure you use them while working on the project.