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Codacy VS Practice Makes Python

Compare Codacy VS Practice Makes Python and see what are their differences

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  3. » Reviews
  4. » Alternatives

Codacy logo Codacy

Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.

Practice Makes Python logo Practice Makes Python

Your second Python book - build fluency through 50 exercises
  • Codacy Landing page
    Landing page //
    2023-08-27

Codacy automates code reviews and monitors code quality on every commit and pull request reporting back the impact of every commit or pull request, issues concerning code style, best practices, security, and many others. It monitors changes in code coverage, code duplication and code complexity. Saving developers time in code reviews thus efficiently tackling technical debt. JavaScript, Java, Ruby, Scala, PHP, Python, CoffeeScript and CSS are currently supported. Codacy is static analysis without the hassle.

  • Practice Makes Python Landing page
    Landing page //
    2022-12-16

Codacy

Website
codacy.com
Pricing URL
Official Codacy Pricing
$ Details
Release Date
2012 January
Startup details
Country
Portugal
State
Lisboa
City
Lisbon
Founder(s)
Jaime Jorge
Employees
1 - 9
Edit details

Practice Makes Python

Website
lerner.co.il
Pricing URL
-
$ Details
-
Release Date
-
Edit details

Codacy features and specs

  • Comprehensive Code Analysis
    Codacy offers a wide array of static code analysis tools that can help identify many types of issues such as code complexity, security vulnerabilities, and code duplication.
  • Supports Multiple Languages
    Codacy supports a wide variety of programming languages including Java, JavaScript, Python, Ruby, and more. This makes it suitable for polyglot development teams.
  • Integration with CI/CD Pipelines
    Codacy integrates seamlessly with popular Continuous Integration/Continuous Deployment (CI/CD) tools like Jenkins, CircleCI, and Travis CI, enabling automated code reviews as part of the development workflow.
  • Customizable Analysis
    It allows teams to set custom quality and code style thresholds, ensuring that the code analysis process is tailored to meet the specific requirements of the project.
  • Automated Pull Request Reviews
    Codacy can automatically review pull requests and report issues as comments, helping developers identify problems before merging code changes.
  • Dashboard and Reporting
    It provides an insightful dashboard that offers an overview of code quality metrics and trends over time. This helps in tracking progress and identifying areas that need improvement.

Possible disadvantages of Codacy

  • High Cost for Large Teams
    While Codacy offers a free tier, the pricing can become quite expensive for larger teams and organizations, which could be a limiting factor for widespread adoption.
  • Initial Configuration Complexity
    Setting up Codacy to match specific project requirements can be complex and time-consuming, requiring significant effort to configure all the necessary rules and integrations.
  • Occasional False Positives
    Some users have reported instances of false positives, where Codacy flags code that does not actually have any issues. This can lead to wasted time and potential confusion.
  • Performance Issues
    Codacy can sometimes slow down during code analysis, particularly for large projects, which can impact developer productivity.
  • Learning Curve
    For teams that are new to code analysis tools, there may be a learning curve involved in understanding and effectively utilizing Codacy's comprehensive feature set.

Practice Makes Python features and specs

No features have been listed yet.

Analysis of Practice Makes Python

Overall verdict

  • Practice Makes Python by Reuven Lerner is a well-regarded exercise-based book/course aimed at helping intermediate Python learners solidify their skills through deliberate practice. It's good for those who want structured problem-solving repetition rather than just conceptual learning.

Why this product is good

  • Written by Reuven Lerner, an experienced and respected Python trainer with decades of teaching experience
  • Provides 50+ hands-on exercises with detailed solutions and explanations, not just theory
  • Focuses on practical, real-world coding patterns rather than abstract computer science concepts
  • Explanations often show multiple solution approaches, helping learners understand tradeoffs and idiomatic Python
  • Good for reinforcing muscle memory and confidence in writing Python code independently
  • Exercises are curated based on common sticking points Lerner has observed in his many years of teaching corporate Python courses

Recommended for

  • Beginner-to-intermediate Python learners who understand basic syntax but want more practice applying it
  • Self-taught coders who feel shaky translating concepts into working code
  • People who've finished an introductory Python course/book and want a bridge to intermediate skills
  • Learners who prefer exercise-driven practice over long-form conceptual reading
  • Developers preparing for coding interviews or wanting to sharpen fundamentals

Codacy videos

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Using Codacy for automated code reviews

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Category Popularity

0-100% (relative to Codacy and Practice Makes Python)

Codacy

Practice Makes Python

Code Coverage
97 97%
Code Coverage
3% 3
Code Quality
96 96%
Code Quality
4% 4
Code Analysis
100 100%
Code Analysis
0% 0
Web Analytics
0 0%
Web Analytics
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Codacy and Practice Makes Python

Codacy Reviews

Top 11 SonarQube Alternatives in 2024
Each of these tools offers unique advantages that make them compelling alternatives to SonarQube, depending on organizational goals, budgets, and technology stacks. Codeant.ai and Codacy provide user-friendly experiences with robust integrations, while tools like Veracode, Checkmarx, and Snyk offer advanced security features. For organizations focused on testing, Code...
Source: www.codeant.ai
8 Best Static Code Analysis Tools For 2024
Codacy is a popular code analysis and quality tool that helps you deliver better software. It continuously reviews your code and monitors its quality from the beginning.
Source: www.qodo.ai
The 5 Best SonarQube Alternatives in 2024
Secondly, while SonarQube offers security analysis, Codacy provides a more holistic approach to security, including features like supply chain security and secret detection out of the box. Added to this are Codacy’s actionable insights. Codacy's AI-suggested fixes and prioritized issue lists help teams act on the information provided rather than just presenting a list of...
Source: blog.codacy.com
Ten Best SonarQube alternatives in 2021
Codacy automates code opinions and monitors code quality on each sprint. The main issues it covers concern code style, best practices, and security. In addition, it monitors adjustments in code insurance, code duplication, and code complexity. She was saving developers time in code opinions, consequently successfully tackling technical debt. JavaScript, Java, Ruby, Scala,...
Source: duecode.io

Practice Makes Python Reviews

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Social recommendations and mentions

Based on our record, Codacy seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Codacy mentions (4)

  • What is the best way to set a cookie (without setcookie?)
    I'm trying to use Codacy to review my code. One of the issues is regarding the use of the "setcookie" function. Source: almost 5 years ago
  • Converting vstest coverage files in github actions?
    Does anyone have an example on how to get this conversion done on github actions where I can convert the *.coverage file into a *.xml file for uploading to codacy.com. Source: about 5 years ago
  • PHP Static Analysis Tools Review
    Online analysisFinally, if you want a simple way to analyze your code without having to manually configure everything locally, you can use an online code review service such as Codacy (shameless plug here). We already integrate some of the mentioned detection tools in this article and we are working every day to improve the service. The other main benefit of using automated code review tools is to allow you to... - Source: dev.to / over 5 years ago
  • Top 10 ways to perform fast code reviews
    Because you care and because you always want to be better, automation is a great way to optimize your review workflow process. Go ahead and do a quick search on Google for automated code reviews and see who better fits your workflow. You'll find Codacy on your Google search and we hope you like what we do. - Source: dev.to / over 5 years ago

Practice Makes Python mentions (0)

We have not tracked any mentions of Practice Makes Python yet. Tracking of Practice Makes Python recommendations started around Mar 2021.

What are some alternatives?

When comparing Codacy and Practice Makes Python, you can also consider the following products

SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

Enki - The 5-minute daily workout for your dev skills

CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.

Mimo - Learn how to code on your iPhone📱

CodeFactor.io - Automated Code Review for GitHub & BitBucket

Quick Code - Curated list of free online programming courses

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