Path: csiph.com!news.mixmin.net!weretis.net!feeder8.news.weretis.net!news.dns-netz.com!news.freedyn.net!newsfeed.xs4all.nl!newsfeed7.news.xs4all.nl!bofh.it!news.nic.it!robomod From: Gregor Riepl Newsgroups: linux.debian.maint.python Subject: Re: How should learning to program in Python be approached, if learning objectives are sought to be customised? Date: Wed, 01 Sep 2021 10:30:02 +0200 Message-ID: References: X-Mailbox-Line: From debian-python-request@lists.debian.org Wed Sep 1 08:23:11 2021 Old-Return-Path: X-Amavis-Spam-Status: No, score=-8.504 tagged_above=-10000 required=5.3 tests=[BAYES_00=-2, DKIM_SIGNED=0.1, DKIM_VALID=-0.1, DKIM_VALID_AU=-0.1, DKIM_VALID_EF=-0.1, FREEMAIL_FROM=0.001, LDO_WHITELIST=-5, NICE_REPLY_A=-1.305, RCVD_IN_DNSWL_NONE=-0.0001] autolearn=ham autolearn_force=no X-Policyd-Weight: using cached result; rate: -5.5 X-Gm-Message-State: AOAM532NpvohooWBa/hAtMuyOZnzGhNe4UC4Qh+WIijgdxO1QkcEe3F4 Oojia6co+MNS+N1XRjtOA5/BZSlfk3Y= X-Google-SMTP-Source: ABdhPJzjlcaLNGJZFusSRkEECzztVXVDeVG5KWjBHD4H/eu6hKEcjboNr4YeggC4h7arTKIXDLPJzg== X-Received: by 2002:a1c:3542:: with SMTP id c63mr8586132wma.68.1630484576404; Wed, 01 Sep 2021 01:22:56 -0700 (PDT) User-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:78.0) Gecko/20100101 Thunderbird/78.13.0 MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Language: en-US Content-Transfer-Encoding: 8bit X-Mailing-List: archive/latest/19294 List-ID: List-URL: List-Archive: https://lists.debian.org/msgid-search/a3ec1ca2-eee1-c672-7285-7dcb80485a89@gmail.com Approved: robomod@news.nic.it Lines: 13 Organization: linux.* mail to news gateway Sender: robomod@news.nic.it X-Original-Date: Wed, 1 Sep 2021 10:22:54 +0200 X-Original-Message-ID: X-Original-References: <8D6626B2-5362-42C5-A71C-7710AAA0FE68@gmail.com> Xref: csiph.com linux.debian.maint.python:13501 > Please also advise: where could I have such repositories like such > huge oracle java object and code repository? I think what most people use as a source for Python packages is PyPi: https://pypi.org/ And there is excellent tooling around it. Personally, I prefer pipenv for application dependency management, but there are other tools. PyCharm can work with pipenv and virtualenv natively: https://www.jetbrains.com/help/pycharm/pipenv.html Minor tip, install pipenv with apt and not with pip: sudo apt install pipenv