Boost Your Python Workflow: 5 Essential PyCharm Tips You Need Today
This article presents five practical PyCharm tips—including built‑in file comparison, column‑wise block editing, case‑insensitive code completion, eye‑friendly color schemes, and remote server debugging—to help Python developers work more efficiently in their daily projects.
26. File Diff, Easy Comparison
Beyond Compare is a popular paid tool for file comparison, but for simple single‑file diffs you can use PyCharm's built‑in feature.
Click the source file, then click View → Compare With … and select the target file.
27. Column‑wise Block Editing
To quickly remove trailing comments from code, you can use regular‑expression replace or leverage block editing.
Vim supports column‑wise block selection for such tasks, and PyCharm offers the same capability: hold Alt (Windows) or Option (Mac) and drag the mouse to select a column block.
28. Smart Completion Ignoring Case
IDE auto‑completion is powerful, but it is case‑sensitive by default, requiring you to match the exact case of symbols.
Disable case‑matching in the settings to allow case‑insensitive completion.
29. Eye‑Protection Settings in PyCharm
Setting an eye‑friendly color scheme can reduce strain, though it may affect the IDE's visual appeal.
Follow the steps shown in the image to apply a soothing background color.
For a more aesthetic theme, see the linked article "Hand‑by‑hand guide to creating a high‑beauty IDE".
30. Debugging Code on a Remote Server
Local debugging works for most cases, but when code depends on server‑side environments, remote debugging is required.
Two common approaches are:
Using pdb for command‑line debugging.
Setting up remote debugging with PyCharm, which mirrors the local debugging workflow after additional configuration.
See the articles linked for detailed steps on using pdb and configuring remote debugging.
Signed-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
Python Crawling & Data Mining
Life's short, I code in Python. This channel shares Python web crawling, data mining, analysis, processing, visualization, automated testing, DevOps, big data, AI, cloud computing, machine learning tools, resources, news, technical articles, tutorial videos and learning materials. Join us!
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.
