paco | Small utility library | Reactive Programming library

 by   h2non Python Version: 0.2.3 License: MIT

kandi X-RAY | paco Summary

kandi X-RAY | paco Summary

paco is a Python library typically used in Programming Style, Reactive Programming applications. paco has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install paco' or download it from GitHub, PyPI.

Small utility library for coroutine-driven asynchronous generic programming in Python 3.4+
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            kandi-support Support

              paco has a low active ecosystem.
              It has 198 star(s) with 11 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 8 open issues and 29 have been closed. On average issues are closed in 13 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of paco is 0.2.3

            kandi-Quality Quality

              paco has 0 bugs and 8 code smells.

            kandi-Security Security

              paco has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              paco code analysis shows 0 unresolved vulnerabilities.
              There are 1 security hotspots that need review.

            kandi-License License

              paco is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              paco releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              paco saves you 1042 person hours of effort in developing the same functionality from scratch.
              It has 2364 lines of code, 361 functions and 78 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed paco and discovered the below as its top functions. This is intended to give you an instant insight into paco implemented functionality, and help decide if they suit your requirements.
            • Wrap a coroutine function into a coroutine function
            • Consume an asynchronous generator
            • Check if x is a generator
            • Adds the given list of coros
            • Adds a coroutine to the pool
            • Fetch urls
            • Create a task from a list
            • Read the package version
            Get all kandi verified functions for this library.

            paco Key Features

            No Key Features are available at this moment for paco.

            paco Examples and Code Snippets

            copy iconCopy
            known = set()
            remaining_ppl = set(df['Name'])
            for _, row in df.iterrows():
                known.add(row['Name'])
                if row['Neighbour'] in known:
                    remaining_ppl.discard(row['Name'])
            
            print(remaining_ppl) #because remaining_ppl is a set, it is
            Increment a key value in a list of dictionaries
            Pythondot img2Lines of Code : 8dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            for new_id, d in enumerate(current_list_d, start=1):
                d['id'] = new_id
            
            current_list_d
            [{'id': 1, 'name': 'Paco', 'age': 18},
             {'id': 2, 'name': 'John', 'age': 20},
             {'id': 3, 'name': 'Claire', 'age': 22}]
            
            How to iterate using json_normalize()?
            Pythondot img3Lines of Code : 50dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            dfs = []
            with open('test.txt', 'r+') as f:
                for line in f:
            
                    line = line.replace("'", '"')
                    line = line.replace("None", '"None"')
                    line = line.replace("nan", '[]')
                    data = json.loads(line)
                    df = pd.jso
            How to re.sub european street adress to remove letters/digits
            Pythondot img4Lines of Code : 27dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            s = """A. Jakšto g. 2
            Stumbrų g. 26A
            M. K. Paco g. 19
            Birželio 23-iosios g. 15
            Grigiškių m. Kovo 11-osios g. 43
            Laisvės pr. 87"""
            
            print("\n".join(" ".join(i.split()[:-1]) for i in s.splitlines()))
            
            A. Jakšto g.
            Stu
            copy iconCopy
            df['name']=df.id_name.str.split(':').str[1].str.split('_').str[0]
            
            copy iconCopy
            df['name'] = df['id_name'].str.extract(".*nombre:\s?([A-Z][a-z]+)_ID")
            
            Check if 2 values are in a nested list and print the values of the list
            Pythondot img7Lines of Code : 4dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            print([k for k in cliente if (k[3]=='123342344-D' and k[6] == 1234)])
            
            print([k for k in cliente if ('123342344-D' in k and 1234 in k)])
            
            Python Beautifulsoup - problem read <span></span>
            Pythondot img8Lines of Code : 10dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from bs4 import BeautifulSoup as soup
            import re
            _to_find = ['brand-logo', 'product-name', 'price', 'best-price']
            s = soup(content, 'html.parser').find('div', {'class':'product-description'})
            final_results = [(lambda x: s.find('span', {'cla
            Django query does not group
            Pythondot img9Lines of Code : 2dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            result = Mensaje.objects.values('remitente__username').annotate(num_msg=Count('pk')).order_by('remitente__username')
            
            Merge 2 lists of lists
            Pythondot img10Lines of Code : 14dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            for sub1 in list1:
                for sub2 in list2:
                    if sub1[:2] == sub2[:2]:
                        sub1.append(sub2[-1])
                        continue
            
            >>>list1
            [['artur', '1/1/2018', '0.5', 'Estable'],
             ['paco', '1/1/2018', '2

            Community Discussions

            QUESTION

            Hash table didn't return correct value by it's Index
            Asked 2021-Apr-09 at 12:18

            I have this csv file contain people contact:

            ...

            ANSWER

            Answered 2021-Apr-09 at 12:18

            Couple of problems:

            1. The major problem is that there are two Contact *new = malloc(sizeof(Contact)); lines. One inside the loop and one outside. They are two different variables. The while loop condition is using the one outside the loop. Hence the fscanf is writing to the same memory for every loop. One way to fix that is to make the second instance just new = malloc(sizeof(Contact));. Note that this loop has a memory leak as the last allocated node is lost - left to you as an exercise to fix.

            2. searching_contact has an infinete loop as the if (strcmp(name, cursor->name) == 0) block is missing a break.

            Source https://stackoverflow.com/questions/67020532

            QUESTION

            Create a data.frame adding N rows of sampling functions
            Asked 2020-Dec-21 at 18:00

            I'm struggling trying to create a data.frame of random samples. I give a reproducible example:

            I have a few custom functions similar to this:

            ...

            ANSWER

            Answered 2020-Dec-21 at 18:00

            You can change your functions by including a parameter and then sample n observations:

            Source https://stackoverflow.com/questions/65397704

            QUESTION

            Selecting second line every 3 lines from web scrapped variable with pandas
            Asked 2020-Dec-05 at 13:07

            i webscraped this

            ...

            ANSWER

            Answered 2020-Dec-05 at 12:49

            You want to select one element every three elements starting from the second one i.e. index=1.

            You can achieve this with the built-in list __getitem__:

            Source https://stackoverflow.com/questions/65157063

            QUESTION

            Deplopyment Error on Vercel: Cannot find module '/vercel/workpath0/.next/server/scripts/build-rss.js'
            Asked 2020-Nov-23 at 15:07

            I have a package.json script like:

            ...

            ANSWER

            Answered 2020-Nov-23 at 15:07

            I had to change server to serverless to make it work on Vercel :)

            Source https://stackoverflow.com/questions/64887181

            QUESTION

            Can you convert this code to monad comprehensions using Arrow FX?
            Asked 2020-Nov-09 at 00:11

            Can you convert this reactive method to an Arrow Fx Project Reactor monad comprehension?

            ...

            ANSWER

            Answered 2020-Nov-08 at 14:46

            You should convert all operations to Flux then, in your case clientRepository.findById(clientId).toFlux().k()

            Also, you don't need to throw that exception to break the chain.

            Source https://stackoverflow.com/questions/64739050

            QUESTION

            Increment a key value in a list of dictionaries
            Asked 2020-Oct-21 at 08:53

            I would like to add an id key to a list of dictionaries, where each id represents the enumerated nested dictionary.

            Current list of dictionaries:

            ...

            ANSWER

            Answered 2020-Oct-21 at 08:49

            You could use a simple for loop with enumerate and update in-place the id keys in the dictionaries:

            Source https://stackoverflow.com/questions/64459994

            QUESTION

            Get object from intent throws null
            Asked 2020-Oct-15 at 18:19

            I am trying to pass an object to another class using intent. The object implements Parcelable.

            The thing is, when I try to get the attributes it doesn't get the object, it says it's null.

            But when I do a System.out.println of the intent.getExtras():

            Bundle[{usuariocreado =com.example.frpi.repasando.Usuario@4ed1d39}]

            It's actually there!

            ...

            ANSWER

            Answered 2020-Oct-15 at 18:11

            You have to cast the intent.getParcelableExtra("usuariocreado") with Usuario

            Replace

            Source https://stackoverflow.com/questions/64376997

            QUESTION

            spring boot kafka generic JSON templateSender
            Asked 2020-Sep-03 at 16:28

            I am working with kafka and spring boot and I need to send JSON object to kafka, the point is that I am able to send an object as JSON configuring KafkaTemplate but just for this object.

            ...

            ANSWER

            Answered 2020-Sep-03 at 14:23

            I think, you can specify a generic KafkaTemplate and set the producer value serializer to JsonSerializer like this:

            Source https://stackoverflow.com/questions/63725526

            QUESTION

            Laravel Backpack table field columns (json-array) validation rules not working
            Asked 2020-Jul-13 at 20:38

            I'm using BackpackForLaravel and I have a table type field in my code:

            ...

            ANSWER

            Answered 2020-Jul-13 at 20:38

            QUESTION

            How to iterate using json_normalize()?
            Asked 2020-Jun-08 at 17:13
               match_files = []
                    for x in glob.glob(r'path\**\*.json', recursive=True):
                    match_files.append(x)
            
            with open (match_files[0],encoding ='utf8') as fh:
                        mat = json.load(fh)
            
            ...

            ANSWER

            Answered 2020-Jun-08 at 17:13

            Try using this, test.txt has the data you posted above:

            Source https://stackoverflow.com/questions/62231815

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install paco

            You can install using 'pip install paco' or download it from GitHub, PyPI.
            You can use paco like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

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            Install
          • PyPI

            pip install paco

          • CLONE
          • HTTPS

            https://github.com/h2non/paco.git

          • CLI

            gh repo clone h2non/paco

          • sshUrl

            git@github.com:h2non/paco.git

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